introducing datastax enterprise 4.7

Introducing DataStax Enterprise 4.7Purpose built for web, mobile, and IoT applications

Robin SchumacherVP Products

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Webinar Housekeeping

Agenda • Overview of DataStax• Common need of modern Web, mobile, and IoT applications• Overview of what’s new in DSE 4.7 • Details of DSE 4.7:

• DSE Search enhancements• DSE Analytics enhancements• DSE In-Memory enhancements• DSE Advanced Security enhancements• Other DSE enhancements

• What’s new in OpsCenter 5.1? • Sneak peek at OpsCenter 5.2• Wrap up

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Your Life With DataStax

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• DataStax delivers Apache Cassandra in a database platform purpose built for the performance and availability demands of Web, Mobile, and IOT applications.

• Gives enterprises a secure always-on database that remains operationally simple when scaled in a single datacenter or across multiple datacenters and clouds.

Users Spanning All Verticals

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Cassandra – What’s the Difference?

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Cassandra can then DELIVER…

Disaster Avoidance Multi Datacenter and

CloudPredictable Performance

Cassandra is DESIGNED to solve…

Relentless Availability High Performance Linear Scale

Cassandra is DIFFERENT because…

NO Primary or Master Fully Distributed Operationally Simple

Cassandra – Leading in Performance

What do all Modern Web/Mobile/IoT Apps Have in Common?

Mixed Workload!

• All modern Web/Mobile/IoT applications have “mixed workload” requirements.

• Transactional, analytical, search, in-memory, etc., workloads have different data access patterns, needs, and demands.

• Having mixed workloads run on one database is bad because the different workload compete for data and compute resources and often block each other.

• Architects have typically “sharded” or separated workloads by using different databases /vendors for an application.

• Difficult to do because you have multiple databases to deal with and pay for, data is constantly being unloaded/loaded into all the systems.

• Security risk – multiple opportunities for hackers.

©2015 DataStax Confidential. Do not distribute without consent. Transactions Analytics Search

DSE – the Only Database Platform Solving Mixed Workload

©2015 DataStax Confidential. Do not distribute without consent.

Typical Sharded Mixed Workload Application DataStax Enterprise

Multiple databases/vendors/education One database platform/vendor/education

Manually separate & maintain data across different systems

Automatic maintenance & separation of data in one system

Oftentimes requires expensive extract-transform-load tools

No need to ETL tools

Multiple security paradigms/multiple hacker opportunities

One, uniform security paradigm

Multiple management tools needed One management tool needed

It’s Easy with DSE

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Going into production with Cassandra?

Need mixed workload support?


Mixed Workload Management – How Does it Work?

• When DataStax Enterprise is installed, you specify what nodes will be dedicated to OLTP, analytic, and enterprise search processing.

• Existing clusters can also be expanded to include analytic/search nodes.

• Replica groups are created that keep all data distributed and replicated across the transactional, analytic groups, and search groups.

• Reads and writes can be handled on any node.


Announcing DataStax Enterprise 4.7

• Faster and more flexible enterprise search, upgraded analytics with auto-high availability, enhanced in-memory computing support, improved security, and production-certified Cassandra 2.1.

• DSE continues to be the first and best database choice for Web, Mobile and IoT applications that have mixed workloads.

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DataStax Enterprise 4.7

Let’s Talk About Search…

16©2015 DataStax Confidential. Do not distribute without consent.

DSE Search – “Live Indexing”

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What is it? Benefit

Live Indexing makes new, incoming data accessible to search requests very quickly.

• Ensures little to no gap between new data entering a system and when customers can find it

• Not available in open source Solr or Elasticsearch


DSE Search – Enabling “Search-Lytics”

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What is it? Benefit

Spark SparkSQL query language can use Solr syntax to search and analyze data.

• Greatly extends SparkSQL query abilities to be even more powerful

• Delivers potential for faster response times for Spark queries


Example wildcard query using both DSE Analytics and DSE Search:

val table = sc.cassandraTable("music","solr")val result = table.select("id","artist_name").where("solr_query='artist_name:Miles*'").collect

DSE Search – Faster, More Flexible, and Upgraded

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What Benefit

Fault tolerant search automatically retries search queries on other nodes if original search node containing data goes down

• Faster response times for queries that are interrupted• No need for manual intervention or application code to

retry search queries

Run DSE Analytics and DSE Search on same node(s)

• Reduces amount of hardware needed for use cases that allow analytics and search to run together

• Reduces amount of data replicated between nodes

Smart Query Routing transparently sends search queries to the best performing nodes in a cluster.

• Helps ensure fastest possible response times for each individual search request

• Transparent to application; no additional work needed on part of developers or admins

• Not available in open source Solr or Elasticsearch

Production certification of Solr 4.10 • Delivers over 22 new features that help developers build applications that need search support


Does Elasticsearch or Apache Solr have…

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Live indexing that makes data quickly available for search? No.

Intelligent query routing that ensures best search response times?

No.

Ability to tightly integrate Spark analytics and search? No.

Functionality to auto-retry failed search requests? No.

Ability to easily scale across multiple data center / clouds? No.


DSE Search“We had another, distinct Elasticsearch cluster running for search tasks. With DSE, we get Spark built-in to a database cluster as well as search capabilities via DSE Search, which removes the need to have separate clusters of Spark and Elasticsearch. We’re using DSE Search today and will be migrating our separate Spark cluster to DSE soon.” – CIO, Wattgo

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DSE Analytics – Always On and Upgraded

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What Benefit

Automatic high availability for real time analytics (Spark)

• Ensures analytic operations don’t go down• Removes need for manual involvement in providing failover for

down analytics nodes

Production certification for machine learning analytics (Spark Mlib)

• Delivers the ability for developers to create applications that utilize machine learning (e.g. a healthcare app that predicts ER wait times)

New Spark tuning support in DSE Performance Service

• Provides insight into Spark performance • Automatically collects important Spark diagnostic data• Reduces the time to troubleshoot and tune analytics performance

Production certification of Spark 1.2 • Increased performance, improved streaming data support, and simpler development

JDBC Support • Services applications and tools (e.g. BI tools) wanting to run analytic operations on Cassandra via JDBC


British Gas Tackles Internet-of-Things with DataStax Connected Homes, a new business unit, handles IoT-based customer systemsProvides remote control over thermostats and boilers via smart phones/tabletsDelivers analytics on energy usage to customersWill be using predictive analysis to forecast things like boiler failuresUses DataStax Enterprise for transactional data consumption and real-time analytics

DSE In-Memory – More Memory Please

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What Benefit

Increased memory utilization that uses both Java and non-Java RAM options

• Increases the amount of data that in in-memory tables can store by about 50x

• Good for the read-intensive parts of an application where data changes very little or changes are confined to specific load periods

DSE In-Memory:

• Delivers in-memory computing abilities to Cassandra for applications that need both in-memory and disk data management.

• Transparent to applications and easy to control / modify. • Easily monitored in OpsCenter, with alerts and forecasting of future growth

push-button simple.


Improved Data Protection and Security

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What Benefit

Enhanced transparent data encryption (TDE) that separates the encryption keys (used to ‘unlock’ encrypted data) from the actual data

• Adds extra data protection by keeping sensitive, encrypted data and the keys needed to utilize the data apart and on different servers (think not keeping your ATM card and PIN together in your wallet)

• Works with partner security products like Vormetric


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Netflix Ensures Constant Uptime with DataStax EnterpriseWorld’s leading streaming media provider with digital revenue $1.5BN+95% of all Netflix data stored in DSEIntroduction of ‘Profiles’ drove throughput to over 10M transactions per secondDoes 1 trillion transactions/day with DSEReplaced Oracle in six data centers, worldwide, 100% in the cloudMoved to DSE for advanced security; PCI and SOX compliance

Certified Cassandra 2.1

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What Benefit

Production-certification for Cassandra 2.1

• Delivers many customer-requested enhancements that improve maintenance operations and simplify application development

• Supplies dramatic performance increases depending on the use case (e.g. 75-95% faster)


Intuit Services Millions of Concurrent Customers with DataStaxTurboTax mission critical to Intuit driving 34% of revenueTurned from Oracle to DataStax for high velocity, always on architectureFantastic performance, exceeded Intuit’s 99.99% SLA by delivering 100% uptimeFast snapshots, rolling upgrades and easy management with Cassandra

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Mapping DSE 4.7 to Key Personas

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4.7 Feature Area Developer Admin/Operations CIO/CTO

DSE Search New features for more quickly developing apps needing search, no need to code search retry operations, and no manual data sharding

Simpler administration, easier monitoring, and reduced tuning efforts, and no separate search system to manage

Quicker access to new search data for customers, less hardware costs for applications needing both search and analytics, and no need for additional search vendor

DSE Analytics Additional analytic tools (e.g. machine learning) for building analytical app components, and no manual data sharding

Simplified analytics tuning and less involvement needed for analytics high availability, and no separate analytics DB to manage

Constant uptime and smarter capabilities for analytics applications and no need for additional analytics vendor

DSE In-Memory Simple application development for both disk-based and in-memory use cases, and no manual data sharding

Another option to speed performance for applications, and no in-memory cache to manage

Fast application performance and no need for additional in-memory vendor

DSE Security No application burden encountered when accessing sensitive, encrypted data

More options for encrypting and guarding sensitive data

More protection against hackers and data thieves

DSE Cassandra 2.1 New features for developing Web, Mobile, IoT apps

Easier and faster maintenance operations

Greater speed and capabilities for critical business systems


Mapping DSE 4.7 to Key Business Challenges

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Challenge Addressed in DSE 4.7…

Meeting/exceeding performance SLA’s for IoT, Web, Mobile apps

• More efficient consistency maintenance (repair) functionality in Cassandra 2.1

• General Cassandra speed improvements in version 2.1 • Improved search speeds with b• Enhanced DSE In-Memory

Quickly searching for, locating, and analyzing customer requested data in IoT, Web, Mobile apps.

• DSE Search Live Indexing• Smart search query routing • Automatic retry for search query failures • Automatic high-availability for Spark analytics • Ability to run Search and Analytics on same nodes in a cluster• Extending SparkSQL with Solr search abilities • New Solr 4.10 application development features

Data privacy and preventing data breaches.

• Enhanced transparent data encryption that provides separation of data and keys needed to access encrypted data


OpsCenter 5.1! • Support for Cassandra incremental repairs in Repair Service. • Easier monitoring for in-memory option.• Alerts for transparent data encryption off-server key management. • Integration with Spark console. • Percentile graphs.


Sneak Peek – OpsCenter 5.2!• More easily provision/add new datacenters and cloud zones. • Enhanced security with LDAP/Active directory support.• More intelligent monitoring with built-in guidance on finding hotspots and

bottlenecks, with recommendations on improvements. • More efficient maintenance of data consistency across a cluster.


DataStax Enterprise Editions

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For More Information…• Downloads of DSE 4.7 and OpsCenter 5.1.2 now available.• Downloads of DSE Sandbox. • Online documentation. • End Point NoSQL benchmark white paper. • Customer case studies. • Lots more…


DSE – The Database Platform for Web, Mobile, and IoT


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introducing datastax enterprise 4.7

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