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Sharing Experiences in Cloud Adoption: Burlington, MA
The document provides an extensive overview of the current landscape of data platforms, outlining various technologies, companies, and categories such as NoSQL, NewSQL, and analytics services. It highlights the evolution of database solutions and emphasizes emerging trends and the broad range of offerings available in the market. The information is supported by a comprehensive mapping of different databases and their functionalities.
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Sharing Experiences in Cloud Adoption: Burlington, MA
- 1. Mind the gap:understanding today’s data platforms landscape Matthew Aslett, research director
- 2. 451 Research isan information technology research & advisory company Founded in 2000 210+ employees, including over 100 analysts 1,000+ clients: Technology & Service providers, corporate advisory, finance, professional services, and IT decision makers 10,000+ senior IT professionals in our research community Over 52 million data points each quarter 4,500+ reports published each year covering 2,000+ innovative technology & service providers Headquartered in New York City with offices in London, Boston, San Francisco, and Washington D.C. 451 Research and its sister company Uptime Institute comprise the two divisions of The 451 Group Research & Data Advisory Services Events 2
- 3. 1 6 AWS EMR Non-‐rela%onal zone CitusDB IBM Big SQL Rela%onal zone MySQL 114 SQLStream So^ware AG Sqrrl Enterprise RethinkDB Elas/csearch Cassandra Hypertable HBase Compose CloudBird Lotus Notes Ipedo XML Database Tamino XML Server UniData UniVerse McObject Objec/vity MarkLogic InterSystems Caché Starcounter ArangoDB Aerospike Founda/onDB Neo4J AffinityDB Trinity Giraph InfiniteGraph Oracle NoSQL CouchDB Redis Handlersocket RavenDB Google App Engine Datastore LevelDB Accumulo Riak Couchbase Splice Machine Ac/an Ingres SAP Sybase ASE EnterpriseDB SQL Server MySQL MariaDB SAP HANA Informix IBM DB2 Google Cloud SQL HP Cloud RDB for MySQL ClearDB Database.com Rackspace Cloud Databases AWS RDS Azure SQL Database FathomDB StormDB HPCC Teradata Aster Cloudera MapR IBM Hortonworks BigInsights Google Compute Engine ZeWaset NGDATA Infochimps Metascale Mortar Data Rackspace Qubole Voldemort IBM PureData for Analy/cs Teradata XtremeData Metamarkets Druid Ac/an Vector Kx Systems IBM InfoSphere SAP Sybase IQ HP Ver/ca Pivotal Greenplum Exasol Ac/an Matrix ParStream TokuDB ScaleDB ScaleBase ScaleArc Infobright Con/nuent vFabric Postgres TransLa[ce NuoDB Drizzle JustOneDB Pivotal GemFire XD Zimory Scale Galera Clustrix Tesora MemSQL GenieDB YarcData Datomic FlockDB Allegrograph HypergraphDB MemCachier Redis Labs Memcached Cloud FairCom BitYota IronCache Grid/cache zone Memcached Ehcache ScaleOut So^ware IBM eXtreme Scale Oracle Coherence GridGain GigaSpaces XAP Pivotal GemFire CloudTran InfiniSpan Hazelcast Oracle Exaly/cs Oracle Database MySQL Cluster Oracle Endeca Server A[vio LucidWorks Big Data Lucene/Solr IBM InfoSphere Data Explorer Towards E-‐discovery Towards enterprise search Documentum xDB ObjectStore LucidDB MonetDB Databricks/Spark AWS Elas/Cache Firebird SciDB SQLite Oracle TimesTen solidDB Adabas IBM IMS WakandaDB Al/scale Oracle Big Data Appliance RainStor OrientDB Sparksee Metamarkets Treasure Data PostgreSQL Percona HyperDex TIBCO Ac/veSpaces Titan SAP Sybase SQL Anywhere JethroData Pivotal HD/HAWQ BigMemory Ac/an Versant DataStax Enterprise DeepDB FatDB Google Cloud Datastore Heroku Postgres GrapheneDB Cassandra.io BerkeleyDB Microso^ HDInsight HP Autonomy Oracle Exadata IBM PureData Impala Apache Drill Presto Microso^ SQL Server PDW Apache Tajo Apache Hive SPARQLBASE MammothDB Al/base HDB LogicBlox SRCH2 TIBCO LogLogic Splunk Towards SIEM Loggly Sumo Logentries Logic InfiniSQL JumboDB Ac/an PSQL Progress OpenEdge Kogni/o Al/base XDB Savvis So^layer Verizon xPlenty Stardog MariaDB Enterprise Apache Storm Apache S4 IBM InfoSphere Streams TIBCO StreamBase DataTorrent AWS Kinesis Feedzai Guavus Lokad Key: General purpose Specialist analy/c -‐as-‐a-‐Service BigTables Graph Document Key value stores Key value direct access Hadoop MySQL ecosystem Advanced clustering/sharding New SQL databases Data caching Data grid Search Appliances In-‐memory Stream processing OpenStack Trove 1010data Google BigQuery AWS Redshi^ TempoIQ InfluxDB WebScaleSQL Spider Fabric 2 A B C D E T-‐Systems A B C D E 2 3 4 5 SQream SpaceCurve Postgres-‐XL Google Cloud Dataflow Trafodion Hadapt Azure Search Red Hat JBoss Data Grid 4 5 6 MongoDB Cloudant Iris Couch MongoLab RedisGreen Redis-‐to-‐go Redis Labs Redis Cloud ObjectRocket Azure DocumentDB ObjectRocket Redis AWS Elas/Cache with Redis MagnetoDB AWS SimpleDB 1 3 Data Platforms Map October 2014 CockroachDB AWS DynamoDB TokuMX VoltDB CortexDB CodeFutures Oracle Big Data Cloud 3 Stra/o
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- 5. The industry analyst’sinsatiable desire to categorize 5 Darrenkw on Flickr: hWps://www.flickr.com/photos/darrenkw/3327185668
- 6. Segmenting the market § NoSQL, NewSQL and Beyond • Assessing the drivers behind the development and adoption of NoSQL and NewSQL databases, as well as data grid/caching technologies • Published April 2011 6
- 7. Rela/onal Non-‐rela/onal Analy/c Opera/onal Infobright VectorWise Oracle IBM DB2 SQL Server MySQL Ingres PostgreSQL SAP Sybase ASE Hadoop Netezza JustOne EMC Greenplum Aster Data ParAccel HP Ver/ca -‐as-‐a-‐Service App Engine Datastore SimpleDB NewSQL Amazon RDS Xeround Calpont EnterpriseDB GenieDB ScalArc VoltDB InterSystems NoSQL Document Lotus Notes CouchDB MongoDB Graph Key value Big tables Objec/vity MarkLogic Versant Progress McObject Hypertable HBase Riak Redis Membrain Voldemort BerkeleyDB InfiniteGraph Neo4J GraphDB Data Grid/Cache Clustrix SQL Azure FathomDB Schooner MySQL Tokutek Akiban CodeFutures Con/nuent ScaleBase Transla[ce Database.com SAP Sybase IQ IBM InfoSphere NimbusDB HandlerSocket Cassandra Cloudant Memcached IBM eXtreme Scale TerracoWa GigaSpaces Oracle Coherence GridGain ScaleOut Vmware GemFire InfiniSpan CloudTran Couchbase RavenDB Drizzle Piccolo Dryad Hadapt Mapr Brisk MySQL Cluster Teradata 7 The “Drawn to Scale” problem: Company developing a Hadoop-‐based NewSQL database.
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- 9. Inspiration § HarryBeck’s London Underground Tube Map hWp://briWon.disted.camosun.bc.ca/beck_map.jpg 9
- 10. Inspiration Kai Chan Vong on Flickr: hWps://www.flickr.com/photos/kaichanvong/3723850455 10 § Harry Beck’s London Underground Tube Map
- 11. Inspiration hWp://www.artrepublic.com/biographies/200-‐simon-‐paWerson.html 11 § Simon Patterson’s “The Great Bear”
- 12. Inspiration 12 §The Real Story Group’s Content Technology Vendor Map hWp://www.realstorygroup.com/vendormap/
- 13. Left to myown devices 13
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- 20. 1 6 Non-‐rela%onal zone CitusDB IBM Big SQL Rela%onal zone MySQL 114 SQLStream So^ware AG Sqrrl Enterprise RethinkDB Elas/csearch Cassandra Hypertable HBase Compose CloudBird Lotus Notes Ipedo XML Database Tamino XML Server UniData UniVerse McObject Objec/vity MarkLogic InterSystems Caché Starcounter ArangoDB Aerospike Founda/onDB Neo4J AffinityDB Trinity Giraph InfiniteGraph Oracle NoSQL CouchDB Redis Handlersocket RavenDB Google App Engine Datastore LevelDB Accumulo Riak Couchbase Splice Machine Ac/an Ingres SAP Sybase ASE EnterpriseDB SQL Server MySQL MariaDB SAP HANA Informix IBM DB2 Google Cloud SQL HP Cloud RDB for MySQL ClearDB Database.com Rackspace Cloud Databases AWS RDS Azure SQL Database FathomDB StormDB HPCC Teradata Aster Cloudera MapR IBM Hortonworks BigInsights ZeWaset NGDATA Infochimps Metascale Mortar Data Rackspace Qubole Voldemort IBM PureData for Analy/cs Teradata XtremeData Metamarkets Druid Ac/an Vector Kx Systems IBM InfoSphere SAP Sybase IQ HP Ver/ca Pivotal Greenplum Exasol Ac/an Matrix ParStream TokuDB ScaleDB ScaleBase ScaleArc Infobright Con/nuent vFabric Postgres TransLa[ce NuoDB Drizzle JustOneDB Pivotal GemFire XD Zimory Scale Galera Clustrix Tesora MemSQL GenieDB YarcData Datomic FlockDB Allegrograph HypergraphDB MemCachier Redis Labs Memcached Cloud FairCom BitYota IronCache Grid/cache zone Memcached Ehcache ScaleOut So^ware IBM eXtreme Scale Oracle Coherence GridGain GigaSpaces XAP Pivotal GemFire CloudTran InfiniSpan Hazelcast Oracle Exaly/cs Oracle Database MySQL Cluster Oracle Endeca Server A[vio LucidWorks Big Data Lucene/Solr IBM InfoSphere Data Explorer Towards E-‐discovery Towards enterprise search Documentum xDB ObjectStore LucidDB MonetDB Databricks/Spark AWS Elas/Cache Firebird SciDB SQLite Oracle TimesTen solidDB Adabas IBM IMS WakandaDB Al/scale Oracle Big Data Appliance RainStor OrientDB Sparksee Metamarkets Treasure Data PostgreSQL Percona HyperDex TIBCO Ac/veSpaces Titan SAP Sybase SQL Anywhere JethroData Pivotal HD/HAWQ BigMemory Ac/an Versant DataStax Enterprise DeepDB FatDB Google Cloud Datastore Heroku Postgres GrapheneDB Cassandra.io BerkeleyDB Microso^ HDInsight HP Autonomy Oracle Exadata IBM PureData Impala Apache Drill Presto Microso^ SQL Server PDW Apache Tajo Apache Hive SPARQLBASE MammothDB Al/base HDB LogicBlox SRCH2 TIBCO LogLogic Splunk Towards SIEM Loggly Sumo Logentries Logic InfiniSQL JumboDB Ac/an PSQL Progress OpenEdge Kogni/o Al/base XDB Savvis So^layer Verizon xPlenty Stardog MariaDB Enterprise Apache Storm Apache S4 IBM InfoSphere Streams TIBCO StreamBase DataTorrent AWS Kinesis Feedzai Guavus Lokad Key: General purpose Specialist analy/c -‐as-‐a-‐Service BigTables Graph Document Key value stores Key value direct access Hadoop MySQL ecosystem Advanced clustering/sharding New SQL databases Data caching Data grid Search Appliances In-‐memory Stream processing OpenStack Trove 1010data Google BigQuery AWS Redshi^ TempoIQ InfluxDB WebScaleSQL Spider Fabric 2 A B C D E T-‐Systems A B C D E 2 3 4 5 SQream SpaceCurve Postgres-‐XL Google Cloud Dataflow Trafodion Hadapt Azure Search Red Hat JBoss Data Grid 4 5 6 MongoDB Cloudant Iris Couch MongoLab RedisGreen Redis-‐to-‐go Redis Labs Redis Cloud ObjectRocket Azure DocumentDB ObjectRocket Redis AWS Elas/Cache with Redis MagnetoDB AWS SimpleDB 1 3 Data Platforms Map October 2014 CockroachDB AWS DynamoDB TokuMX VoltDB CortexDB CodeFutures Oracle Big Data Cloud 20 AWS EMR Google Compute Engine Stra/o
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- 22. 1 6 Non-‐rela%onal zone Rela%onal zone 114 SQLStream Coral8 Lotus Notes Ipedo XML Database Tamino XML Server UniData UniVerse McObject Objec/vity MarkLogic InterSystems Caché SQLite Ingres Sybase ASE EnterpriseDB SQL Server MySQL Informix Teradata VectorWise Kx Systems ParAccel IBM InfoSphere Calpont Sybase IQ Ver/ca Greenplum Grid/cache zone ScaleOut So^ware IBM eXtreme Scale Tangosol Coherence GigaSpaces GemStone Memcached TerracoWa Oracle Database Endeca A[vio Lucid Imagina/on Lucene/Solr Vivisimo Towards E-‐discovery Towards enterprise search Documentum xDB Progress ObjectStore MonetDB Firebird Oracle TimesTen IBM solidDB Adabas IBM IMS PostgreSQL TIBCO Ac/veSpaces Sybase SQL Anywhere Versant BerkeleyDB Autonomy IBM DB2 Aster Data LogLogic Splunk Towards SIEM Pervasive PSQL Progress OpenEdge Kogni/o Progress Apama StreamBase TIBCO Aleri BEA 1010data 2 A B C D E A B C D E 2 3 4 5 Infobright 1 3 4 5 6 Data Platforms Map Circa 2008/9 Netezza Key: General purpose Specialist analy/c Data caching Search In-‐memory Stream processing 22
- 23. 1 6 Non-‐rela%onal zone Rela%onal zone 114 Ipedo XML Database Tamino XML Server UniData UniVerse McObject InterSystems Caché Ac/an Ingres SAP Sybase ASE EnterpriseDB SQL Server SAP HANA Informix IBM DB2 HPCC Teradata Aster IBM PureData for Analy/cs XtremeData Kx Systems IBM InfoSphere SAP Sybase IQ HP Ver/ca Pivotal Greenplum Exasol Ac/an Matrix ParStream Grid/cache zone Memcached Ehcache vFabric Postgres ScaleOut So^ware IBM eXtreme Scale Oracle Coherence GridGain GigaSpaces XAP Pivotal GemFire CloudTran InfiniSpan Hazelcast Oracle Database Oracle Endeca Server Elas/csearch A[vio So^ware AG LucidWorks Big Data Lucene/Solr IBM InfoSphere Data Explorer Towards E-‐discovery Towards enterprise search Documentum xDB ObjectStore LucidDB MonetDB Firebird SciDB SQLite Oracle TimesTen solidDB Adabas IBM IMS WakandaDB RainStor PostgreSQL TIBCO Ac/veSpaces SAP Sybase SQL Anywhere BigMemory Ac/an Versant HP Autonomy Oracle Exadata IBM PureData Microso^ SQL Server PDW LogicBlox SRCH2 TIBCO LogLogic Splunk Towards SIEM Loggly Sumo Logentries Logic Ac/an PSQL Progress OpenEdge IBM InfoSphere Streams TIBCO StreamBase Feedzai Guavus Lokad Key: General purpose Specialist analy/c -‐as-‐a-‐Service BigTables Graph Document Key value stores Key value direct access Hadoop MySQL ecosystem Advanced clustering/sharding New SQL databases Data caching Data grid Search Appliances In-‐memory Stream processing 2 A B C D E A B C D E 2 3 4 5 SQream Postgres-‐XL Red Hat JBoss Data Grid 1 3 4 5 6 Data Platforms Map Expansion VectorWise Kogni/o 1010data SQLStream Infobright MySQL Lotus Notes Objec/vity BerkeleyDB MarkLogic Oracle Teradata Exaly/cs 23
- 24. 1 6 Non-‐rela%onal zone Rela%onal zone 114 So^ware AG Sqrrl Enterprise RethinkDB Elas/csearch Cassandra HBase Lotus Notes Ipedo XML Database Tamino XML Server UniData UniVerse McObject Objec/vity MarkLogic InterSystems Caché ArangoDB Aerospike Founda/onDB Neo4J AffinityDB Trinity Giraph InfiniteGraph Oracle NoSQL CouchDB Redis RavenDB LevelDB Accumulo Riak Couchbase Ac/an Ingres SAP Sybase ASE EnterpriseDB SQL Server SAP HANA Informix IBM DB2 HPCC Teradata Aster Voldemort IBM PureData for Analy/cs XtremeData Kx Systems IBM InfoSphere SAP Sybase IQ HP Ver/ca Pivotal Greenplum Exasol Ac/an Matrix YarcData ParStream FlockDB Allegrograph HypergraphDB Grid/cache zone Memcached Ehcache vFabric Postgres ScaleOut So^ware IBM eXtreme Scale Oracle Coherence GridGain GigaSpaces XAP Pivotal GemFire CloudTran InfiniSpan Hazelcast Oracle Database Oracle Endeca Server A[vio LucidWorks Big Data Lucene/Solr IBM InfoSphere Data Explorer Towards E-‐discovery Towards enterprise search Documentum xDB ObjectStore LucidDB MonetDB Firebird SciDB SQLite Oracle TimesTen solidDB Adabas IBM IMS WakandaDB RainStor OrientDB Sparksee PostgreSQL HyperDex TIBCO Ac/veSpaces Titan SAP Sybase SQL Anywhere BigMemory Ac/an Versant DataStax Enterprise FatDB Hypertable BerkeleyDB HP Autonomy Oracle Exadata IBM PureData Microso^ SQL Server PDW SPARQLBASE LogicBlox SRCH2 TIBCO LogLogic Splunk Towards SIEM Loggly Sumo Logentries Logic JumboDB Ac/an PSQL Progress OpenEdge Stardog IBM InfoSphere Streams TIBCO StreamBase Feedzai Guavus Lokad Key: General purpose Specialist analy/c -‐as-‐a-‐Service BigTables Graph Document Key value stores Key value direct access Hadoop MySQL ecosystem Advanced clustering/sharding New SQL databases Data caching Data grid Search Appliances In-‐memory Stream processing 2 A B C D E A B C D E 2 3 4 5 SQream Postgres-‐XL Red Hat JBoss Data Grid 4 5 6 MongoDB 1 3 Data Platforms Map NoSQL TokuMX VectorWise Kogni/o 1010data SQLStream Infobright MySQL CortexDB Oracle Teradata Exaly/cs 24
- 25. 1 6 Non-‐rela%onal zone Rela%onal zone MySQL 114 So^ware AG Sqrrl Enterprise RethinkDB Elas/csearch Cassandra HBase Lotus Notes Ipedo XML Database Tamino XML Server UniData UniVerse McObject Objec/vity MarkLogic InterSystems Caché Starcounter ArangoDB Aerospike Founda/onDB Neo4J AffinityDB Trinity Giraph InfiniteGraph Oracle NoSQL CouchDB Redis Handlersocket RavenDB LevelDB Accumulo Riak Couchbase Ac/an Ingres SAP Sybase ASE EnterpriseDB SQL Server MySQL vFabric Postgres MariaDB SAP HANA Informix HPCC Teradata Aster Voldemort IBM PureData for Analy/cs XtremeData Kx Systems IBM InfoSphere SAP Sybase IQ HP Ver/ca Pivotal Greenplum Exasol Ac/an Matrix ParStream TokuDB ScaleDB ScaleBase ScaleArc Infobright CodeFutures Con/nuent TransLa[ce NuoDB Drizzle JustOneDB Pivotal GemFire XD Zimory Scale Galera Clustrix Tesora GenieDB YarcData Datomic FlockDB Allegrograph HypergraphDB Grid/cache zone Memcached Ehcache ScaleOut So^ware IBM eXtreme Scale Oracle Coherence GridGain GigaSpaces XAP Pivotal GemFire CloudTran InfiniSpan Hazelcast MySQL Cluster Oracle Endeca Server A[vio LucidWorks Big Data Lucene/Solr IBM InfoSphere Data Explorer Towards E-‐discovery Towards enterprise search Documentum xDB ObjectStore LucidDB MonetDB Firebird SciDB SQLite Oracle TimesTen solidDB Adabas IBM IMS WakandaDB RainStor OrientDB Sparksee PostgreSQL Percona HyperDex TIBCO Ac/veSpaces Titan SAP Sybase SQL Anywhere BigMemory Ac/an Versant DataStax Enterprise DeepDB FatDB Hypertable BerkeleyDB HP Autonomy IBM PureData Microso^ SQL Server PDW SPARQLBASE Al/base HDB LogicBlox SRCH2 TIBCO LogLogic Splunk Towards SIEM Loggly Sumo Logentries Logic InfiniSQL JumboDB Ac/an PSQL Progress OpenEdge Al/base XDB Stardog MariaDB Enterprise IBM InfoSphere Streams TIBCO StreamBase Feedzai Guavus Lokad Key: General purpose Specialist analy/c -‐as-‐a-‐Service BigTables Graph Document Key value stores Key value direct access Hadoop MySQL ecosystem Advanced clustering/sharding New SQL databases Data caching Data grid Search Appliances In-‐memory Stream processing WebScaleSQL Spider Fabric 2 A B C D E A B C D E 2 3 4 5 SQream Postgres-‐XL Red Hat JBoss Data Grid 4 5 6 MongoDB 1 3 Data Platforms Map NewSQL TokuMX VectorWise Kogni/o 1010data SQLStream IBM DB2 Oracle Database VoltDB FairCom MemSQL CockroachDB Oracle Exadata CortexDB Oracle Teradata Exaly/cs 25
- 26. 1 6 Non-‐rela%onal zone CitusDB IBM Big SQL Rela%onal zone MySQL 114 SQLStream So^ware AG Sqrrl Enterprise RethinkDB Elas/csearch Cassandra HBase Lotus Notes Ipedo XML Database Tamino XML Server UniData UniVerse McObject Objec/vity MarkLogic InterSystems Caché Starcounter ArangoDB Aerospike Founda/onDB Neo4J AffinityDB Trinity Giraph InfiniteGraph Oracle NoSQL CouchDB Redis Handlersocket RavenDB LevelDB Accumulo Riak Couchbase Splice Machine Ac/an Ingres SAP Sybase ASE EnterpriseDB SQL Server MySQL vFabric Postgres MariaDB SAP HANA Informix HPCC Teradata Aster Cloudera MapR IBM Hortonworks BigInsights NGDATA Voldemort IBM PureData for Analy/cs XtremeData Kx Systems IBM InfoSphere SAP Sybase IQ HP Ver/ca Pivotal Greenplum Exasol Ac/an Matrix ParStream TokuDB ScaleDB ScaleBase ScaleArc Infobright CodeFutures Con/nuent TransLa[ce NuoDB Drizzle JustOneDB Pivotal GemFire XD Zimory Scale Galera Clustrix Tesora GenieDB YarcData Datomic FlockDB Allegrograph HypergraphDB Grid/cache zone Memcached Ehcache ScaleOut So^ware IBM eXtreme Scale Oracle Coherence GridGain GigaSpaces XAP Pivotal GemFire CloudTran InfiniSpan Hazelcast MySQL Cluster Oracle Endeca Server A[vio LucidWorks Big Data Lucene/Solr IBM InfoSphere Data Explorer Towards E-‐discovery Towards enterprise search Documentum xDB ObjectStore LucidDB MonetDB Firebird SciDB SQLite Oracle TimesTen solidDB Adabas IBM IMS WakandaDB Oracle Big Data Appliance RainStor OrientDB Sparksee PostgreSQL Percona HyperDex TIBCO Ac/veSpaces Titan SAP Sybase SQL Anywhere JethroData Pivotal HD/HAWQ BigMemory Ac/an Versant DataStax Enterprise DeepDB FatDB Hypertable BerkeleyDB HP Autonomy IBM PureData Impala Apache Drill Presto Microso^ SQL Server PDW Apache Tajo Apache Hive SPARQLBASE MammothDB Al/base HDB LogicBlox SRCH2 TIBCO LogLogic Splunk Towards SIEM Loggly Sumo Logentries Logic InfiniSQL JumboDB Ac/an PSQL Progress OpenEdge Al/base XDB Stardog MariaDB Enterprise Apache Storm Apache S4 IBM InfoSphere Streams TIBCO StreamBase DataTorrent Feedzai Guavus Lokad Key: General purpose Specialist analy/c -‐as-‐a-‐Service BigTables Graph Document Key value stores Key value direct access Hadoop MySQL ecosystem Advanced clustering/sharding New SQL databases Data caching Data grid Search Appliances In-‐memory Stream processing WebScaleSQL Spider Fabric 2 A B C D E A B C D E 2 3 4 5 SQream Postgres-‐XL Trafodion Hadapt Red Hat JBoss Data Grid 4 5 6 MongoDB 1 3 Data Platforms Map Hadoop TokuMX VectorWise Kogni/o 1010data ZeWaset IBM DB2 Oracle Database FairCom MemSQL CockroachDB Oracle Exadata VoltDB CortexDB Oracle Teradata Exaly/cs 26
- 27. 1 6 Non-‐rela%onal zone CitusDB Rela%onal zone MySQL 114 SQLStream So^ware AG Sqrrl Enterprise RethinkDB Elas/csearch Cassandra Hypertable HBase Compose CloudBird Lotus Notes Ipedo XML Database Tamino XML Server UniData UniVerse McObject Objec/vity MarkLogic InterSystems Caché Starcounter ArangoDB Aerospike Founda/onDB Neo4J AffinityDB Trinity Giraph InfiniteGraph Oracle NoSQL CouchDB Redis Handlersocket RavenDB Google App Engine Datastore LevelDB Accumulo Riak Couchbase Splice Machine Ac/an Ingres SAP Sybase ASE SQL Server MySQL MariaDB SAP HANA Informix Google Cloud SQL HP Cloud RDB for MySQL ClearDB Database.com Rackspace Cloud Databases AWS RDS Azure SQL Database FathomDB StormDB HPCC Teradata Aster Cloudera MapR IBM Hortonworks BigInsights ZeWaset NGDATA Infochimps Metascale Mortar Data Rackspace Qubole Voldemort IBM PureData for Analy/cs XtremeData Metamarkets Druid Ac/an Vector Kx Systems IBM InfoSphere SAP Sybase IQ HP Ver/ca Pivotal Greenplum Exasol Ac/an Matrix ParStream TokuDB Oracle Exadata ScaleDB ScaleBase ScaleArc Infobright Con/nuent VoltDB TransLa[ce NuoDB Drizzle JustOneDB Pivotal GemFire XD Zimory Scale Galera Clustrix Tesora GenieDB YarcData Datomic FlockDB Allegrograph HypergraphDB MemCachier Redis Labs Memcached Cloud BitYota IronCache Grid/cache zone Memcached Ehcache ScaleOut So^ware IBM eXtreme Scale Oracle Coherence GridGain GigaSpaces XAP Pivotal GemFire CloudTran InfiniSpan Hazelcast MySQL Cluster Oracle Endeca Server A[vio LucidWorks Big Data Lucene/Solr IBM InfoSphere Data Explorer Towards E-‐discovery Towards enterprise search Documentum xDB ObjectStore LucidDB MonetDB Databricks/Spark AWS Elas/Cache Firebird SciDB SQLite Oracle TimesTen solidDB Adabas IBM IMS WakandaDB Al/scale Oracle Big Data Appliance RainStor OrientDB Sparksee Metamarkets Treasure Data PostgreSQL Percona HyperDex TIBCO Ac/veSpaces Titan SAP Sybase SQL Anywhere JethroData Pivotal HD/HAWQ BigMemory Ac/an Versant DataStax Enterprise DeepDB FatDB Google Cloud Datastore Heroku Postgres GrapheneDB Cassandra.io BerkeleyDB Microso^ HDInsight HP Autonomy IBM Big SQL Impala Apache Drill Presto Microso^ SQL Server PDW Apache Tajo Apache Hive SPARQLBASE MammothDB Al/base HDB LogicBlox SRCH2 TIBCO LogLogic Splunk Towards SIEM Loggly Sumo Logentries Logic InfiniSQL JumboDB Ac/an PSQL Progress OpenEdge Kogni/o Al/base XDB Savvis So^layer Verizon xPlenty Stardog MariaDB Enterprise Apache Storm Apache S4 IBM InfoSphere Streams TIBCO StreamBase DataTorrent AWS Kinesis Feedzai Guavus Lokad Key: General purpose Specialist analy/c -‐as-‐a-‐Service BigTables Graph Document Key value stores Key value direct access Hadoop MySQL ecosystem Advanced clustering/sharding New SQL databases Data caching Data grid Search Appliances In-‐memory Stream processing OpenStack Trove 1010data Google BigQuery AWS Redshi^ TempoIQ InfluxDB WebScaleSQL Spider Fabric 2 A B C D E T-‐Systems A B C D E 2 3 4 5 SQream SpaceCurve Postgres-‐XL Google Cloud Dataflow Trafodion Hadapt Azure Search Red Hat JBoss Data Grid 4 5 6 MongoDB Cloudant Iris Couch MongoLab RedisGreen Redis-‐to-‐go Redis Labs Redis Cloud ObjectRocket Azure DocumentDB ObjectRocket Redis AWS Elas/Cache with Redis MagnetoDB AWS SimpleDB 1 3 Data Platforms Map DBaaS AWS DynamoDB TokuMX IBM DB2 Oracle Database IBM PureData FairCom MemSQL CockroachDB CortexDB EnterpriseDB vFabric Postgres CodeFutures Oracle Big Data Cloud Oracle Teradata Exaly/cs 27 AWS EMR Google Compute Engine Stra/o
- 28. The big bang:drivers for change NoSQL NewSQL Hadoop DBaaS 28 Cloud Elas/c Distributed Architecture Virtual Scalable Flexible JSON Agile Schema-‐on-‐read Developers REST Schemaless Flexible Global Web Mobile Interac/ve Applica%ons Always-‐on Social Local
- 29. Drivers for changeinfluence each other Cloud Elas/c Distributed Schema-‐on-‐read § Distributed architecture encourages new development approaches § New applica/ons require distributed architecture JSON Global Web Mobile Interac/ve § New development approaches demand new architecture § Distributed architecture enables new applica/ons § New app requirements demand new development approaches § New dev approaches enable new lightweight apps Architecture Virtual Scalable Flexible Agile Developers REST Schemaless Flexible Applica%ons Always-‐on Social Local 29
- 30. Drivers for change:applications Social, mobile, global, local all have implica/ons for data connec/vity § Social – increased interac/vity generates data § Mobile – different form factors and access methods § Global – applica/ons need to be immediately available everywhere § Local – need to deliver localized content Global Web Mobile Interac/ve Applica%ons Always-‐on Social Local 30
- 31. Drivers for change:developers Developers increasingly drive data management and database selec/on § Need to unite applica/on development and database management people/processes to achieve common goals § DevOps movement growing apace § Rapid development and con/nuous delivery is inconsistent with tradi/onal database management processes JSON Agile Schema-‐on-‐read Developers REST Schemaless Flexible 31
- 32. Drivers for change:DevOps JSON Agile Schema-‐on-‐read Findings: • 51% cite business and strategy drivers: compe//ve, business produc/vity, revenue • 49% cite technology func/onality, new feature sets, reduced development costs • As DevOps matures as a discipline, aligning business and IT goals is ever more important. 451 Research survey of 200 qualified North American DevOps prac//oners or influencers Developers REST Schemaless Flexible 32
- 33. Drivers for change:architecture Transi/oning from a tradi/onal database to a distributed database § Interac/ve applica/ons means the pace of user growth and mul/plicity of data types is too great for tradi/onal rela/onal databases to efficiently absorb. § Scalability § Performance § Relaxed consistency § Agility § Intricacy § Necessity Cloud Elas/c Distributed Architecture Virtual Scalable Flexible 33
- 34. Drivers for change:architecture Transi/oning from a tradi/onal database to a distributed database Transi/oning from on-‐premises compu/ng to the cloud Cloud Elas/c Distributed Architecture Virtual Scalable Flexible § Amazon’s top enterprise use cases are (in order of popularity starting with the most popular): • Development and test • New workloads Transi/oning from on-‐premises • Supplement compuexisting /ng to the workloads cloud with cloud • Migration of existing workloads to the cloud • Datacenter migration • All-in cloud • Top three adoption drivers for public cloud are additive to the existing database landscape 34
- 35. Drivers for change:shift to private cloud For each of the major digital infrastructure deployment methods, how are your IT services (% of applica/ons/workloads delivered) distributed? Internal, On-‐premises, Non-‐cloud Digital Infrastructure (Physical or Internal, On-‐premises, Private Cloud-‐based Off-‐premises IT Outsourcing, Dedicated/Managed Transi/oning from on-‐premises compu/ng to the cloud Cloud Cloud Elas/c Elas/c Distributed Distributed Virtual Scalable Flexible Transi/oning from on-‐premises compu/ng to the cloud Architecture Virtual Scalable Flexible 5% 1% 1% 12% 9% 6% 25% 13% 30% 41% 1% 10% 19% 62% Hybrid Cloud Off-‐premises Public Cloud Services (SaaS) Off-‐premises Public Cloud Services (Other Than SaaS) Other Deployment Method 2013 2015 The majority of workloads today are on internal, on-‐premises, non-‐cloud and are likely to remain on-‐premises albeit with a move to private cloud 35 Source: Cloud Compu<ng – Wave 6 hAps://451research.com/report-‐long?icid=3021
- 36. Drivers for change:public cloud not significant For each of the major digital infrastructure deployment methods, how are your IT services (% of applica/ons/workloads delivered) distributed? Internal, On-‐premises, Non-‐cloud Digital Infrastructure (Physical or Internal, On-‐premises, Private Cloud-‐based Off-‐premises IT Outsourcing, Dedicated/Managed Transi/oning from on-‐premises Pubic cloud compuand /ng SaaS to the are cloud growing, but not making a significant impact Cloud Cloud Elas/c Elas/c Distributed Distributed Virtual Scalable Flexible Transi/oning from on-‐premises compu/ng to the cloud Architecture Virtual Scalable Flexible 36 5% 1% 1% 1% 12% 13% 10% 9% 6% 30% 25% 41% 19% 62% Hybrid Cloud Off-‐premises Public Cloud Services (SaaS) Off-‐premises Public Cloud Services (Other Than SaaS) Other Deployment Method 2013 2015 Source: Cloud Compu<ng – Wave 6 hAps://451research.com/report-‐long?icid=3021
- 37. For each of the major digital infrastructure deployment methods, how are your IT services (% of applica/ons/workloads delivered) distributed? 5% 1% 1% 12% 9% 6% 25% 13% 30% 41% 1% 10% 19% 62% Internal, On-‐premises, Non-‐cloud Digital Infrastructure (Physical or Internal, On-‐premises, Private Cloud-‐based Off-‐premises IT Outsourcing, Dedicated/Managed Hybrid Cloud Off-‐premises Public Cloud Services (SaaS) Off-‐premises Public Cloud Services (Other Than SaaS) Other Deployment Method 2013 2015 Drivers for change: hybrid cloud is the future Cloud Cloud Elas/c Elas/c Distributed Distributed Virtual Scalable Flexible Transi/oning from on-‐premises compu/ng to the cloud Architecture Virtual Scalable Flexible The future of the cloud is hybrid 37 Source: Cloud Compu<ng – Wave 6 hAps://451research.com/report-‐long?icid=3021
- 38. Drivers for change:the route to hybrid is private For each of the following categories of workload/business func/ons, what is your primary deployment method likely to be in the next two years? Cloud Elas/c Distributed Architecture Virtual Scalable Flexible Test and Development of Applica/ons E-‐business Hos/ng Customer-‐facing Enterprise Applica/ons Transi/oning from on-‐premises compu/ng to the cloud Cloud Distributed Virtual Scalable Flexible Transi/oning from on-‐premises compu/ng to the cloud 53% 68% 11% 35% 53% 18% 42% 18% 14% 23% 17% 26% 43% 27% 31% 29% 18% 66% 46% 21% 39% Collabora/ve Applica/ons Cloud-‐na/ve Applica/ons Batch Compu/ng Applica/ons Back-‐office Enterprise Applica/ons Internal Private Cloud Hybrid Cloud External Public Cloud and SaaS 38 Source: Cloud Compu<ng – Wave 6 hAps://451research.com/report-‐long?icid=3021
- 39. JSON Agile ApplicaSchema-‐on-‐/read ons Developers Architecture REST Schemaless Flexible Drivers for change Cloud Elas/c Distributed Architecture Virtual Scalable Flexible Global Web Mobile Interac/ve NoSQL NewSQL Hadoop DBaaS Applica%ons Always-‐on Social Local 39
- 40. New databases: differences 40 Non-‐rela/onal data models. Trade-‐off consistency for availability NoSQL Adds availability and flexibility to the familiar rela/onal data model NewSQL Any of the above, or tradi/onal RDBMS, delivered as a service DBaaS Batch (and now interac/ve) analy/c processing Hadoop of unstructured data
- 41. New databases: use-cases Approach Details Examples NoSQL MongoDB, Couchbase, Cassandra, Redis, Aerospike, Cloudant Non-‐transac/onal opera/onal applica/ons, unstructured data, lightweight query NewSQL NuoDB, MemSQL, Transla[ce, VoltDB, Splice Machine Transac/onal opera/onal apps, structured data, complex query, opera/onal intelligence Hadoop Cloudera, MapR, Hortonworks, Pivotal, IBM, Teradata Non-‐transac/onal analy/c applica/ons, mul/-‐structured data, complex query DBaaS ObjectRocket, AWS DynamoDB, AWS RDS, Al/scale, Qubole Any of the above, or tradi/onal RDBMS, delivered as a service 41
- 42. The big bang § The database market expanded rapidly driven partly by polyglot persistence • Specialist databases for specialist use-cases 42 Wide-‐ column stores Key Value stores Graph databases Document stores NewSQL Hadoop DBaaS
- 43. The big crunch? § Multi-model databases are a growing trend to support multiple use-cases and ease operational complexity – is the database market contracting? 43 Wide-‐ column stores Key Value stores Graph databases Document stores Mul/-‐model databases Support a combina/on of the various individual NoSQL data models. NewSQL Hadoop DBaaS
- 44. § Increasingly thatalso means SQL as NoSQL vendors add SQL support and SQL vendors add support for other models NewSQL The big crunch? 44 Wide-‐ column stores Key Value stores Graph databases Document stores Mul/-‐model databases Support a combina/on of various individual data models. Hadoop DBaaS
- 45. § While aaSis really just a deployment option NewSQL The big crunch? 45 Wide-‐ column stores Key Value stores Graph databases Document stores Mul/-‐model databases Support a combina/on of various individual data models. XaaS Hadoop
- 46. § And HDFScould potential become a common substrate for multiple data processing models NewSQL The big crunch? 46 Wide-‐ column stores Key Value stores Graph databases Document stores Mul/-‐model databases Support a combina/on of various individual data models. Hadoop Distributed File System XaaS
- 47. Building blocks ofthe next-generation data platform? § Distributed, elastic, flexible, new projects NewSQL 47 Wide-‐ column stores Key Value stores Graph databases Document stores Mul/-‐model databases Support a combina/on of various individual data models. Hadoop Distributed File System XaaS
- 48. The journey toa next-generation data platform ? Managed strategic data plauorm Strategic consolida/on Tac/cal consolida/on Status quo 48 Mul/-‐tenant, mul/-‐model, mul/-‐data center, hybrid, agile, elas/c, distributed, as-‐a-‐service, automated Strategic NewSQL, NoSQL, Hadoop, DBaaS produc/on deployments, strategic vendor rela/onships Managed polyglot data plauorms Strategic expansion Tac/cal NewSQL, NoSQL, Hadoop, DBaaS PoCs and departmental deployments, shadow IT Managed polyglot datab ases Centralized, scale-‐up, SQL rela/onal databases Unmanaged polyglot databases Tac/cal expansion SQL-‐on-‐Hadoop, federated query, mul/-‐model NoSQL and NewSQL, managed DBaaS, hybrid cloud
- 49. 1 6 AWS EMR Non-‐rela%onal zone CitusDB IBM Big SQL Rela%onal zone MySQL 114 SQLStream So^ware AG Sqrrl Enterprise RethinkDB Elas/csearch Cassandra Hypertable HBase Compose CloudBird Lotus Notes Ipedo XML Database Tamino XML Server UniData UniVerse McObject Objec/vity MarkLogic InterSystems Caché Starcounter ArangoDB Aerospike Founda/onDB Neo4J AffinityDB Trinity Giraph InfiniteGraph Oracle NoSQL CouchDB Redis Handlersocket RavenDB Google App Engine Datastore LevelDB Accumulo Riak Couchbase Splice Machine Ac/an Ingres SAP Sybase ASE EnterpriseDB SQL Server MySQL MariaDB SAP HANA Informix IBM DB2 Google Cloud SQL HP Cloud RDB for MySQL ClearDB Database.com Rackspace Cloud Databases AWS RDS Azure SQL Database FathomDB StormDB HPCC Teradata Aster Cloudera MapR IBM Hortonworks BigInsights Google Compute Engine ZeWaset NGDATA Infochimps Metascale Mortar Data Rackspace Qubole Voldemort IBM PureData for Analy/cs Teradata XtremeData Metamarkets Druid Ac/an Vector Kx Systems IBM InfoSphere SAP Sybase IQ HP Ver/ca Pivotal Greenplum Exasol Ac/an Matrix ParStream TokuDB ScaleDB ScaleBase ScaleArc Infobright Con/nuent vFabric Postgres TransLa[ce NuoDB Drizzle JustOneDB Pivotal GemFire XD Zimory Scale Galera Clustrix Tesora MemSQL GenieDB YarcData Datomic FlockDB Allegrograph HypergraphDB MemCachier Redis Labs Memcached Cloud FairCom BitYota IronCache Grid/cache zone Memcached Ehcache ScaleOut So^ware IBM eXtreme Scale Oracle Coherence GridGain GigaSpaces XAP Pivotal GemFire CloudTran InfiniSpan Hazelcast Oracle Exaly/cs Oracle Database MySQL Cluster Oracle Endeca Server A[vio LucidWorks Big Data Lucene/Solr IBM InfoSphere Data Explorer Towards E-‐discovery Towards enterprise search Documentum xDB ObjectStore LucidDB MonetDB Databricks/Spark AWS Elas/Cache Firebird SciDB SQLite Oracle TimesTen solidDB Adabas IBM IMS WakandaDB Al/scale Oracle Big Data Appliance RainStor OrientDB Sparksee Metamarkets Treasure Data PostgreSQL Percona HyperDex TIBCO Ac/veSpaces Titan SAP Sybase SQL Anywhere JethroData Pivotal HD/HAWQ BigMemory Ac/an Versant DataStax Enterprise DeepDB FatDB Google Cloud Datastore Heroku Postgres GrapheneDB Cassandra.io BerkeleyDB Microso^ HDInsight HP Autonomy Oracle Exadata IBM PureData Impala Apache Drill Presto Microso^ SQL Server PDW Apache Tajo Apache Hive SPARQLBASE MammothDB Al/base HDB LogicBlox SRCH2 TIBCO LogLogic Splunk Towards SIEM Loggly Sumo Logentries Logic InfiniSQL JumboDB Ac/an PSQL Progress OpenEdge Kogni/o Al/base XDB Savvis So^layer Verizon xPlenty Stardog MariaDB Enterprise Apache Storm Apache S4 IBM InfoSphere Streams TIBCO StreamBase DataTorrent AWS Kinesis Feedzai Guavus Lokad Key: General purpose Specialist analy/c -‐as-‐a-‐Service BigTables Graph Document Key value stores Key value direct access Hadoop MySQL ecosystem Advanced clustering/sharding New SQL databases Data caching Data grid Search Appliances In-‐memory Stream processing OpenStack Trove 1010data Google BigQuery AWS Redshi^ TempoIQ InfluxDB WebScaleSQL Spider Fabric 2 A B C D E T-‐Systems A B C D E 2 3 4 5 SQream SpaceCurve Postgres-‐XL Google Cloud Dataflow Trafodion Hadapt Azure Search Red Hat JBoss Data Grid 4 5 6 MongoDB Cloudant Iris Couch MongoLab RedisGreen Redis-‐to-‐go Redis Labs Redis Cloud ObjectRocket Azure DocumentDB ObjectRocket Redis AWS Elas/Cache with Redis MagnetoDB AWS SimpleDB 1 3 Data Platforms Map October 2014 CockroachDB AWS DynamoDB TokuMX VoltDB CortexDB CodeFutures Oracle Big Data Cloud 49 Stra/o
- 50. Thank You! matthew.aslett@451research.com @maslett www.451research.com