DataStax GeekNet Webinar - Apache Cassandra: Enterprise NoSQL
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The document discusses Cassandra and how it is used by various companies for applications requiring scalability, high performance, and reliability. It summarizes Cassandra's capabilities and how companies like Netflix, Backupify, Ooyala, and Formspring have used Cassandra to handle large and increasing amounts of data and queries in a scalable and cost-effective manner. The document also describes DataStax's commercial offerings around Apache Cassandra including support, tools, and services.
DataStax GeekNet Webinar - Apache Cassandra: Enterprise NoSQL
- 1. Dec, 7 2011 Real NoSQL Applications in the Enterprise Today. Apache Cassandra Jonathan Ellis, CTO DataStax
- 3. Navigating the NoSQL waters Distributed Horizontally scalable Eventually consistent Non-relational Column store Document stores Key-value Graph … and more
- 4. Cassandra: the best for “big data” Elegant architecture Operational flexibility Industry-leading performance Youshould be using Cassandra for applications requiring high-performance, realtime queries scalability past one machine bulletproof reliability
- 5. Bigtable, 2006 Dynamo, 2007 OSS, 2008 Incubator, 2009 TLP, 2010 1.0, October 2011
- 6. Cassandra Highlights Multi-master, multi-DC Linearly scalable Larger-than-memory datasets High performance Full durability Integrated caching Tuneable consistency
- 7. Performance A single four-core machine; one million inserts + one million updates
- 9. The Cassandra Difference Scalable Operational Cost Performance Ease Effective Cassandra * ✔ ✔ ✔ Oracle Exadata ✔ ✔ ✖ MySQL ✖ ✔ ✔ MongoDB ✖ ✔ ✔ Sharding ✔ ✖ ✔ HBase ✔ ✖ ✔ * And when it comes to Performance, we’re unmatched.
- 10. “With Cassandra, we get better business agility, and we don’t have to plan capacity in advance, we don’t need to ask permission of other people to build things for us, and we don’t worry about running out of space or power.” Adrian Cockcroft, Cloud Architect
- 11. Netflix’s problems Could not build datacenters fast enough Made decision to go to cloud (AWS) Cassandra on AWS is a key infrastructure component of its globally distributed streaming product. Applications include Netflix’s subscriber system, AB testing, and viewing history service (including positions at which members stopped watching a streaming program).
- 12. Netflix on Cassandra TODO Fast Cheap Scalable Flexible No SPOF
- 13. “Without Cassandra, our engineers would’ve had to create something that could scale to our needs, that would’ve prevented us from focusing on building product and solving problems for Backupify’s users, which are far more important tasks.” Matt Conway, VP Engineering
- 14. Backupify’s problem Cloud-based utility that enables businesses and consumers to backup, search and restore the content of popular online applications such as Google Apps, Gmail, Facebook, Twitter, and Blogger Needs: Horizontal scaling Ability to handle high write loads Elasticity with no manual sharding
- 15. Backupify on Cassandra Ease of scale enabled engineers to focus on building great applications DataStax OpsCenter made it easy to monitor the health and perf of their cluster Reliable, redundant and scalable low- balance data storage helped eliminate down-time Ability to offer both backup and storage, but also analysis of data eventually
- 16. “You can seamlessly add new nodes and expand your total capacity without deteriorating the performance of the data store. Cassandra has allowed us to scale very effectively.” Harry Robertson, Tech Lead
- 17. Ooyala’s problem Ooyala provides a suite of technologies and services that support content owners in managing, analyzing and monetizing the digital video they publish online Needs: Elasticity,to respond to spikes in data scale Ability to respond to increasingly sophisticated analytic needs of customers
- 18. Ooyala on Cassandra Classic “Big Data” problem did not require re-architecting Application agility was enabled – developers spend time building cool apps, not figuring out how to scale Enabled more powerful and granular analytics to their customers
- 19. “Cassandra has allowed us to build bigger features faster and more reliably, while using less money and without needing to expand our staff.” Kyle Ambroff, Sr. Engineer
- 20. Formspring’ problem Usersof Formspring engage with and learn more about each other by asking and responding to questions. With close to 4B responses in the system and 30M unique users, they needed: To support explosive growth To seamlessly syndicate user content To avoid sharding Application flexiblity
- 21. Formspring on Cassandra No sharding needed – just add nodes to scale Performance – the popular users with many followers saw no speed reduction. No more memcached! Flexibility of a schema-optional architecture is very developer friendly
- 22. Why DataStax? DataStax delivers database products and services based on Apache Cassandra from experts who are at the forefront of today's data revolution. Database Software & Tools Support & Services DataStax Enterprise Production Support DataStax Community Consultative Help DataStax OpsCenter Professional Training Drivers & Connectors Online Documentation
- 23. DataStax Overview Founded in April 2010 Commercial leader in Apache Cassandra™, the popular open-source “big data” database Headquartered in San Francisco Bay area 100+ customers 35+ employees (split between San Fran and Austin) Home to Apache Cassandra Chair & most committers Secured $11M in Series B funding in Sep 2011
- 24. DataStax Value The simplest way to get started with Apache Cassandra: DataStax Community Edition A smart, integrated platform that provides Analytics and Real-Time capabilities in the same database, without any resource contention: DataStax Enterprise The backing of the Cassandra Experts
- 25. 100+ customers
- 26. DataStax Enterprise 1. DataStax Enterprise Database Server 2. OpsCenter Enterprise Management solution 3. Expert production support & consultative services
- 27. Enterprise Database Server Enterprise-class database built to handle today’s big-data needs in a cost-effective, easy, and reliable way. Leverages resources on-premise or in the cloud Guarantees uptime with a master-less distributed architecture Allows for fast application changes via flexible schemas 2 3 Handles structured, semi-structured, and Real-Time unstructured data Replication 1 4 Provides advanced security Eliminates the need for separate analytics Analytics system 6 5
- 28. OpsCenter Enterprise OpsCenter Enterprise supplies management, monitoring, and control over DataStax Enterprise Visual, browser-based user Proactive alerts that warn interface of impending issues Administration tasks Built-in external carried out in point-and- notification abilities click fashion Allows for visual rebalance of data across a cluster when new nodes are added
- 29. Expert Production Support DataStax Enterprise includes production support and consultative services from the Cassandra experts. Support service level agreements that range from business hours to 24x7x365 Consultative support for assistance on architecture, design, and tuning Certified quarterly service packs Hot-fix support
- 30. DataStax Enterprise Compared Scalable Operational Cost Real-Time + Performance Ease Effective Analytics DataStax Enterprise ✔ ✔ ✔ ✔ Oracle Exadata ✔ ✔ ✖ ✔ MySQL ✖ ✔ ✔ ✖ MongoDB ✖ ✔ ✔ ✖ Sharding ✔ ✖ ✔ ✖ HBase ✔ ✖ ✔ ✖ Oracle NoSQL DB ✔ ✖ ? ✔
- 31. DataStax – Your One-Stop Shop DataStax Enterprise and Community Editions Professional Training, Expert Consulting Documentation and Dev Center http://www.datastax.com/docs http://www.datastax.com/dev Whitepapers, Case Studies, FAQ’s and more http://www.datastax.com/resources/whitepapers http://www.datastax.com/resources/casestudies Thank you!