DataStax Announces DataStax Enterprise 5.0 – the Multi-Model Database for Cloud Applications
- Built to power cloud applications that require real-time value at epic scale
- Includes DataStax OpsCenter 6.0, an easy-to-use, visual management and monitoring solution
- DataStax Enterprise customers include 3 of the top 5 U.S. retailers, 4 of the top 5 U.S. financial institutions and 2 of the top 3 U.S. media companies
SANTA CLARA, CA – June 21, 2016 – DataStax, the leading provider of database software for cloud applications, today announced the release of DataStax Enterprise (DSE) 5.0 and DataStax OpsCenter 6.0, to provide enterprises a comprehensive and operationally simple data management layer. The unique, always-on architecture of DataStax Enterprise is based on Apache Cassandra™. DSE 5.0, including OpsCenter 6.0, and the recently announced DataStax Enterprise Graph, will be available for download on June 28, 2016 here.
Click to Tweet: #DataStax Announces DSE 5.0 – the Multi-Model #Database for Cloud #Applications bit.ly/1jZ6VHP #graphdb #cassandra
Perspectives on the News
According to an independent study by Forrester Consulting1, “Next-gen applications will require data that is always available, regardless of where that data is, the volume required, or the data’s complexity. The data may be distributed across many data silos and both structured and unstructured. Firms will need to rely on data technologies that can deliver high data performance and availability. Distributed databases deliver data with high availability and performance to power next-gen cloud applications. Cloud enables dynamic scale and elasticity to support any type of next-generation business application.”
“ProtectWise helps organizations conduct proactive threat hunting on a scale that was previously untenable due to the volume of data being managed,” said Gene Stevens, Co-founder and CTO, ProtectWise. “With DataStax Enterprise’s scalability and built-in search features, we are able to process this vast amount of data. DSE 5.0’s advanced search capabilities offer faster search times on larger data sets along with stronger Spark jobs which make it easy to completely cover and unify a rapidly expanding attack surface that our customers experience across their enterprise, cloud and industrial control networks, all while simultaneously compressing the breach detection window and enabling proactive hunting and patrolling on these widely dispersed and often complex infrastructures.”
“The rise of cloud applications demand an entirely new approach to data management as they require zero downtime, epic scale, real-time intelligence, and data distribution across many datacenters and clouds – something that just can’t be done using relational database technology,” said Robin Schumacher, VP of Products, DataStax. “DataStax Enterprise 5.0 along with OpsCenter 6.0 simplifies life on DSE by streamlining the development, protection, management and monitoring of DSE so an organization can more quickly and easily bring cloud applications to market.”
Multi-Model Database Delivering Real-Time Value at Epic Scale
DataStax Enterprise 5.0 offers a certified version of Cassandra 3.0 and advanced functionality designed to accelerate the creation of intelligent and compelling data-intensive applications. DSE delivers a full multi-model platform with support for tabular, key-value, JSON, and graph models along with built-in workload management that enables analytics, search, and in-memory operations within the same database. Additionally, DSE 5.0 is the only operational database able to scale linearly in excess of 1,000 nodes with no single point of failure and is capable of providing real-time active-everywhere replication across numerous datacenters and cloud environments.
DSE 5.0 is a comprehensive multi-model database solution capable of understanding data in real-time and includes:
- DSE Graph: the only scalable real-time graph database built for cloud applications that need to manage complex data with many relationships. DSE Graph delivers continuous uptime along with predictable performance and scale for modern systems dealing with complex and constantly changing data, while remaining operationally simple to manage.
- DSE Advanced Replication: specifically designed to support today’s IoT and retail applications that need to replicate data within hub-and-spoke and similar topologies.
- Advanced server automation: simplifies data management via DSE Tiered Storage, which automatically moves data to its appropriate storage tier based on age, and DSE Multi-Instance, which makes it cost efficient and easy to run multiple copies of DSE on larger machines.
- Advanced analytics and search: includes an updated version of Apache Spark™ to enable increased speed for streaming data, enhanced connectivity with external Spark clusters, and faster enterprise search operations with Apache Solr™.
Enterprise Database Management for Cloud Applications
DataStax OpsCenter 6.0 is the web-based visual management and monitoring solution for DSE and provides what’s needed to intelligently manage and monitor large scale, mission critical systems. OpsCenter has integrated functionality for monitoring, tuning, provisioning, backup and security management, and not only reduces operational and hardware costs but also dramatically increases overall operations productivity.
DataStax OpsCenter 6.0 enhancements include:
- A new Lifecycle Management (LCM) component that delivers enterprise-class provisioning capabilities for creating and administering widely-distributed database clusters, whether on premise, in the cloud, or in hybrid public/private cloud environments.
- Full management and monitoring support for DSE Graph.
- Improved alerting including support for SNMP, which helps integrate OpsCenter with other infrastructure management systems.
- Export of monitoring metrics to third party monitoring tools including Graphite.
Simplifying Development for Cloud Applications
The release of DSE 5.0 and OpsCenter 6.0 also includes DataStax Studio 1.0, a new web-based visual development tool to help developers visually interact with DSE Graph. DataStax Studio lets anyone easily write graph database queries and visualize graph data output in a variety of formats.
In addition, a new suite of enterprise drivers is being made available for all popular development languages (e.g., Java, Python, C#, C++, Ruby, Node.js, PHP), with every driver fully supporting each enterprise component of DSE’s multi-model platform. For example, a Java developer can use the single DSE Java driver to write secured CQL, DSE Analytics/Spark, DSE Search/Solr, and DSE Graph/Gremlin queries against a DSE cluster.
Additional Supporting Quotes
“DataStax gives PokitDok the power to bring economic intelligence to the healthcare industry,” said Ted Tanner, Co-founder and CTO, PokitDok. “Graph theory and machine learning have vital roles to play in improving the system and it all comes down to the right tools to effectively harness data. DataStax allows our data scientists to be even more creative in novel solutions to healthcare Big Data by taking the developer operations engineering burden and by creating an effortless graph and indexing analysis stack. They have brought the ‘Easy Button’ to graph theoretic analysis.”
“Wealthport evaluated DataStax Enterprise against other NoSQL database technologies for our automated data preparation service offering and found it to be a highly scalable, mature database and in-memory data processing platform. Combining the strengths of Apache Cassandra with Apache Spark enables us to automate up to 80 percent of our data processing activities using probabilistic algorithms and artificial intelligence for retail, e-commerce and other industries,” said Tobias Widmer, CTO, Wealthport. “With DataStax, we’ve found a reliable platform to run the most demanding data preparation jobs without having to worry about scalability, reliability and resilience of our service.”
“When DataStax acquired Aurelius, our position was that the move made a lot of sense particularly because of the Aurelius team’s graph knowledge and its track record with the Titan open source graph database,” said James Curtis, Senior Analyst, Data Platforms and Analytics, 451 Research. “The result of that acquisition is DataStax Enterprise Graph, a solid graph offering that brings multi-model capabilities to DataStax Enterprise and plays well with Cassandra’s inherent strengths of scalability and reliability.”
DSE 5.0, including OpsCenter 6.0, will be available for download on June 28, 2016 here.
DSE Graph will be sold as an option to either a DSE Standard or DSE Max subscription and will be available for download on June 28, 2016 here.
DSE 5.0 and OpsCenter 6.0 Resources
- “Introducing DataStax Enterprise 5.0 – This release is big. Really, really big.”
- The Database Platform for Cloud Applications
- The Multi Model Database
- Why Graph?
- Evaluating Databases for Cloud Applications
- Video: DataStax Enterprise 5.0 Overview
- Video: The Database for Cloud Applications
- Webinar: Top 5 Reasons Why DataStax Enterprise Is Game Changing For Architects
- Frequently Asked Questions
DataStax, the leading provider of database software for cloud applications, accelerates the ability of enterprises, government agencies, and systems integrators to power the exploding number of cloud applications that require data distribution across datacenters and clouds, by using our secure, operationally simple platform built on Apache Cassandra™.
With more than 500 customers in over 50 countries, DataStax Enterprise is the database technology of choice for the world’s most innovative companies, such as Netflix, Safeway, ING, Adobe, Intuit, Target and eBay. Based in Santa Clara, Calif., DataStax is backed by industry-leading investors including Comcast Ventures, Crosslink Capital, Lightspeed Venture Partners, Kleiner Perkins Caufield & Byers, Meritech Capital, Premji Invest and Scale Venture Partners. For more information, visit DataStax.com or follow us on @DataStax.
1 Distributed Databases Drive Agility and Competitive Advantage in Cloud Applications, A commissioned study conducted by Forrester Consulting on behalf of Datastax, 2016