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Bleeding Edge Databases
 

Bleeding Edge Databases

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On Aerospike, AlgebraixData and Google BigQuery for BigDataCampLA

On Aerospike, AlgebraixData and Google BigQuery for BigDataCampLA

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  • http://db-engines.com/en/ranking_trend
  • http://documentary.net/the-art-of-data-visualization/
  • http://www.aerospike.com/blog/aerospike-doubles-in-memory-nosql-database-performance/ <br /> <br /> 8 CPU & 32 GB RAM
  • Results by Thumbtack Technology
  • YCSB Benchmark
  • http://www.aerospike.com/free-aerospike-3-community-edition/
  • http://lod-cloud.net/versions/2011-09-19/lod-cloud.html
  • http://dbis.informatik.uni-freiburg.de/index.php?project=SP2B <br /> http://www.algebraixdata.com/algebraix-data-achieves-unrivaled-semantic-benchmark-performance/
  • http://demo.algebraixdata.com/#!/ss/math
  • Mathematics-based data management platform <br /> Kernel for any data model <br /> High performance <br /> High scalability <br /> Self-tuning <br /> Automatic data re-organization <br /> Small footprint <br />
  • http://www.algebraixdata.com/
  • http://gdeltproject.org/
  • http://martinfowler.com/articles/bigQueryPOC.html
  • https://developers.google.com/bigquery/pricing#data <br /> <br /> http://g-calculator.appspot.com/bigtable.html
  • http://www.megapivot.com/blog/posts/redshift-vs-bigquery-vs-hadoop.html <br /> <br /> http://courses.cs.washington.edu/courses/cse544/13sp/final-projects/p18-lijl.pdf
  • http://bigqueri.es/categories
  • https://developers.google.com/bigquery/third-party-tools <br /> <br /> http://bigquery.bimeanalytics.com/
  • http://bigqueri.es/ <br /> <br /> https://developers.google.com/bigquery/streaming-data-into-bigquery
  • https://cloud.google.com/developers/starterpack/
  • www.teachingkidsprogramming.org

Bleeding Edge Databases Bleeding Edge Databases Presentation Transcript

  • Bleeding Edge Databases @LynnLangit
  • Unstructured Data
  • Live Tweets on a Building
  • What is Aerospike?
  • Benchmark Results • 200,000 tps (read-write) & 300,000 tps (read-heavy) • 10X Faster for R/W loads on SSDs
  • DEMO
  • More Benchmark Results Config • 10G network • Aerospike 3 • Same hardware • 4-node CentOS Data • 500GB • 50M records Each Record • 100 bytes • 23 byte key • 10 fields
  • Aerospike Architecture
  • Example Architecture
  • How to try it out • Bare metal or pick a Cloud, set up a VM • Get the free community edition • Go…
  • Linked Open Data Cloud
  • What is Algebraix Data? IoT – Semantic Web Super Powerful 1 Billion Triples on 1 Node Native Mathematical Engine Triple store RDF (Graph)
  • SPARQL Server™ W3C & OGC compliant RDF / SPARQL Semantic Database Natively built with proprietary Math • Algebraix technology (and patents) Runs on commodity hardware • In the cloud (or on premise) • Scales Up and Down Significantly better benchmark performance • over leading RDF databases
  • Benchmark Results • SP2Bench SPARQL Performance Benchmark
  • SP^2 Benchmark Visualized
  • DEMO
  • It’s the Math…
  • Patents
  • Runs on common hardware • Any Cloud or • On Rremises High Performance & Capacity • Needs no indexes • Works particularly well w/sparse data Self-tuning • Retains results & intermediate sets • Supports point- in-time queries SPARQL Server™
  • Algebraix Solution Stack Data Algebra DatabaseNoSQL Relational RDF Semantic Applications Meaning Organization Optimization & Execution Conceptual Data Loaders Query Translators • Modern abstract algebra • Zermelo-Fraenkel set theory • Mathematics-based data management platform • Universal data language • Collection of I.P. • SPARQL Server – RDF • A2DB - Relational • Search • Analytics • Business Intelligence • Data Integration Algebraix Platform
  • How to try it out • Sign up on their website • Try out when notified (this July)
  • What is Google Big Query? QaaS – interactive RESTful web service SQL-like language Queries data stored in Google cloud Wide Column Tables Uses OAuth for access control Very Fast 750M Rows in <10 secs
  • Easy & Fast •Text or Json •Up to 100k inserts/sec (streaming) Load it •Supports core SQL query concepts •SELECT, FROM, JOIN, WHERE, ORDER BY, GROUP BY •Windowing functions (OVER / PARTITION) •Common Aggregates (SUM, COUNT, MAX) •Includes ‘analytic’ SQL •STDDEV, VARIANCE, CORRELATION •REGEXP_MATCH Query it •Query is $ 5 per TB processed •Storage is around $30 TB per month Pay (for) it
  • Benchmark Results • TCP-H Benchmark
  • DEMO
  • Partners and BigQuery Google Sheets Tableau QlikView Bime Excel
  • How to try it out • Set up a Google Cloud account • Upload or stream data • Query
  • Google Cloud Starter Pack Use code “gde-in”
  • Next steps Try them out @LynnLangit