This document provides an overview of DataStax Enterprise, a database platform for cloud applications. It discusses key features of DataStax Enterprise including that it is certified for production, offers automatic management services for configuration and administration through OpsCenter, and provides 24/7 expert support. The document also summarizes various DataStax Enterprise technologies and capabilities like advanced replication, tiered storage, security features, and integration with search, analytics, and graph databases.

1. DataStax Enterprise
DuyHai DOAN
Technical Advocate
duy_hai.doan@datastax.com
Cécilia Gomis
Enterprise Sales Executive
Cecilia.gomis@datastax.com
+33 6 31 922 187

2. 1
Technology Overview
2 DataStax Enterprise
3 Questions?
2

3. The New Database Market
Legacy
Post Relational
Transactional
Analytical

4. DataStax Use Cases
MDM: Customer 360, Product Catalog
Internet of Things (IoT) and Time Series
Personalization and Recommendation
Fraud Detection
List Management
Messaging
Inventory Management
Authentication / Sessions

5. 1 Technology Overview
2
DataStax Enterprise
3 Questions?
5

6. 6
DataStax Enterprise
The database for
cloud applications
Requirements of Cloud Applications
Numerous Endpoints
Geographically Distributed
Continuously Available
Instantaneously Responsive
Immediately Decisive
Predictably Scalable

7. • Ready and certified for production environments.
• Rigorous certification process:
• Extensive quality assurance testing.
• Performance and scale tests with 1,000 node clusters.
• 3rd party software validation.
• No TICK TOCK
• Certified for key supported platforms.
DataStax Enterprise – Certified Cassandra

8. • Visual, browser-based user interface.
• Installation, configuration, and administration tasks carried out in point-
and-click fashion.
• Visually supports DataStax Automatic Management Services.
• Secure role based access control
• Life Cycle Management
• Services included:
• Repair service
• Capacity service
• Performance service
• Best Practice service
• Backup/Restore service (Point in Time Recovery)
DataStax OpsCenter

9. • 24x7x365
• Production and non-production environments.
• Health checks for assistance on architecture,
design, and tuning.
• Certified service packs
• Hot-fix support and back porting of bug fixes
DataStax Expert Support

10. • Allows one-way replication from “edge” cluster to another, centralized
hub cluster.
• Ideal for retail, energy, and other “edge of the internet of things” use
cases.
DSE Advanced Replication

11. • Able to automatically move data to different storage media based on
defined criteria.
• Helps reduce storage costs by relegating lesser-used or older data to
less expensive storage devices.
• Works on a granular per-row basis.
DSE Tiered Storage

12. • Allows for simple deployment of multiple DSE instances on a single
machine.
• Ensures large hardware resources are effectively utilized for database
applications.
• Helps reduce hardware cost.
DSE Multi-Instance

13. • Transparent Data Encryption of ALL DSE data at rest
• Role based access control
• Unified authentication: Allows multiple security authentication protocols (e.g.
Kerberos, LDAP, Active Directory, internal Cassandra) to be used on the same
database cluster.
• Data Auditing
DSE Enterprise Security

14. • Brings all the goodness of Cassandra to an in-memory database.
• Simple to use.
• In-Memory tables look/act like any Cassandra table.
• Great for use cases requiring low latency reads.
• Can be combined with in-memory analytics for a full in-memory
transactional/analytical processing framework.
DSE In-Memory Option

15. 15
• DSE Search inherits all the power and capabilities of Solr and builds on top of it to
create even more powerful enterprise search functionality
• Built-in scale out and continuous availability and multiple data centers support
• Automatic indexing when inserting and updating in Cassandra
• Search Capabilities integrated into Cassandra Query Language
• Multi-criteria
• Full text
• Geospatial
• Faceting
• Auto-completion
DSE Search
select * from client_profile where solr_query=' { "q": "last_name:PON* OR
first_name:vinc*" } ' ;

16. 16
• Embedded Spark
• ETL workloads, Real-Time Streaming Analytics, SQL Operational Analytics on
Cassandra.
• DSE benefits:
• Spark Master HA
• Integrated security
• Support
DSE Analytics

17. 17
• Inspired by TitanDB graph database with the Aurelius acquisition in 2015
• Fully embedded into DataStax Enterprise
• Leverage DSE availability and scalability
• Build on Apache Tinkerpop graph framework
• Leverage DSE embedded Search and Spark
DSE Graph
COUNTRY
ADDRESS
CUSTOMER
Rated
ORDER
PRODUCT
Line ItemShipping Address
Billing Address
Address
TAG
g.V().has("name","gremlin").
repeat(in("manages")).until(has("title","ceo")).
path().by("name")
>> The management chain from Gremlin to the CEO

18. DataStax Enterprise Company Confidential
Offline
Application
External
Spark or
Hadoop
Cluster
Spark/
Hadoop
RDBMS
18
Real Time
Analytics
Batch
Analytics
Real
Time
Search
Certified Apache Cassandra
No Single Point of Failure | Linear Scalability | Always-On
DSE – Fully Integrated Technology Stack
Ease of
Use
DataStax
Studio
OpsCenter
Services
Monitoring,
Operations
Low
Latency
In-
Memory
Data
DSE
Graph
Graph
Database
Operational
Resiliency
Document
Store
Advanced
Security JSON
Analytics
Transformations

19. 19
DataStax Enterprise
The database for
cloud applications

20. 1 Technology Overview
2 DataStax Enterprise
3
Questions?
20

21. Thank you!
DuyHai DOAN
Technical Advocate
duy_hai.doan@datastax.com