At the rercent Spark Summit 2014, DataStax, a leading distributed database management system that delivers Apache Cassandra to the enterprise, announced the general availability of DataStax Enterprise 4.5 (DSE 4.5).
Looking to combine the best real-time attributes of NoSQL databases, DataStax this week unveiled a DataStax Enterprise 4.5 database platform that combines Cassandra with the Apache Spark in-memory computing engine.
Apache Cassandra company DataStax is snuggling up with Databricks. The partnership is designed to deliver open source code back to the Apache Spark and Apache Cassandra communities to ensure that developers always have the best tools.
Thanks to new big data techniques that can continuously monitor and analyze the interplay of more than 100 signs and potential symptoms of sepsis, hospitals are detecting the condition earlier, and saving both lives and money.
Now that big data is becoming the norm, the next buzz in the world of computing will be, and, perhaps already is, NoSQL, referring to the “Not only SQL” databases that will empower the data driven enterprise.
DataStax is continuing its campaign against Oracle with DataStax Enterprise 4.0, a new version of its flagship Cassandra distro that presents a potentially more affordable alternative to the database giant’s in-memory option.
SSD storage is fast, but in-memory computing is even faster. And DataStax, which builds a NoSQL database based on open source Apache Cassandra, thinks in-memory processing is a crucial innovation for bringing Big Data performance to a new level, as the release of its DataStax Enterprise 4.0 platform makes clear.
DataStax, the company that powers the online applications that transform business, today announced its partner program designed to increase adoption of DataStax Enterprise, the Apache Cassandra-based database used by more than 400 companies including more than 20 in the Fortune
Accenture and DataStax have signed an alliance agreement, formalizing their longstanding collaboration in helping clients manage and drive insights from big data seamlessly and rapidly across the enterprise.
Founded in 2010, SkillPages is now the world’s trusted network of people with skills, creating new opportunities for everyone, everywhere by transforming the way skilled people connect to those who need them.
You probably haven’t heard of Openwave Messaging but if you get email, voice mail, or other messaging services from a tier-one telecommunications firm, chances are fairly good that you have used its white-label messaging products at some point.
In tech, successful companies will almost always end in a liquidity event of some sort: a sale or an initial public offering, so now that the Twitter buzz has calmed, who should you be looking at next?
DataStax has announced its Startup Programme designed to allow “eligible startups” (by its own terms and classification) to deploy DataStax Enterprise (DSE) applications for free, along with a new DevCenter tool and free online training courses for Cassandra users.
A long-time Java advocate, University of Dundee lecturer Andy Cobley explains why he’s teaching Cassandra, the reason he hopes it doesn’t all go horribly wrong for NoSQL, and why he still stands behind Oracle’s platform, fifteen years down the line.
At the opening of the conference day at Cassandra Summit Europe 2013, Johnathan Ellis, Datastax CTO, made a point of positioning Apache Cassandra as an enterprise scalable database and one that scales in a linear fashion to massive scales.
Given their Web roots, Cassandra, Couchbase and MongoDB have certainly taken more business away from MySQL than any commercially licensed database, but the recent infusions of capital show that there’s big money riding on broad enterprise adoption of NoSQL.
In particular, advocates of Cassandra would suggest that event streaming is fine if you just want to analyse what’s happening right now but that if you want to understand what’s happening now in the context of what was happening five minutes ago and five minutes before that – in other words, trending – then Cassandra is better option.
“Data Scientist” is the sexiest job of the 21st century. The Harvard Business Review made this claim last October and it seems that everyone (including your grandmother) has been repeating it ever since.
This past week featured a number of Big Data developments. Cloudera released an open-source authentication engine for Hadoop, Google upgraded its Cloud Platform with new data management capabilities, and DataStax raised $45 million in funding to accelerate Cassandra development.
DataStax, provider of a big data platform based on Apache Cassandra, has announced new versions of its enterprise-grade and community-edition database software, along with a new round of funding to help to grow its business.
NoSQL database provider DataStax has managed to raise $45 million (£29 million) in funding to help it expand internationally, support the open-source community and carry out further product development.
DataStax Inc. has raised $45 million in Series D funding led by Scale Venture Partners, as the company deals with increasing demand from enterprise customers and moves toward a possible initial public offering.
San Mateo-based DataStax, founded in 2010, sells software and services built on top of Apache Cassandra, an open source distributed database management system originally developed by Facebook that advocates say can be flexible and resilient on a global scale to an unprecedented degree.
Enterprise big data platform company DataStax has raised a $45 million Series D round led by Scale Venture Partners, with participation from DFJ Growth, New World Capital, and existing investors Lightspeed Venture Partners, Crosslink Capital, and Meritech Capital Partners.
To celebrate the fifth birthday of the NoSQL Cassandra open source database, DataStax released an update to the enterprise version of Cassandra that makes it easier for applications built on SQL databases to transition to the NoSQL platform.
While Hadoop has been getting the elephant’s share of attention recently in NoSQL database circles, Cassandra database vendor, DataStax, has been dutifully squirrelling away at their own plans, which it was revealed this morning will be fueled by a $45 million dollar series D funding round.
Red Hat and MySQL did it successfully first, before there was a roadmap or formula – they balanced the commitment to being a primary open source curator while simultaneously building a commercial business around the open source offering.
Big Data is accessible for any organization – whether big or small, reaching across the spectrum of data demands, in clouds throughout the world – and your best possible data infrastructure can be achieved quickly, easily and with cost-effectiveness with DataStax and Apache Cassandra.
Last year was a good year for NoSQL outfit DataStax. The big data company’s customer base increased roughly tenfold to 270, including 20 Fortune 100 firms and names such as eBay, Netflix and Thomson Reuters.
Big data platform provider DataStax, which helped Netflix determine the likely popularity of its first proprietary series House of Cards, has opened a London Office to help it keep up with demand for its services in EMEA.
DataStax, the open source start-up which combines Apache Cassandra (the database developed by Facebook) with Hadoop (the number-crunching platform based on Google’s backend infrastructure), has opened an office in London to address the growing Big Data market in Europe.
Like Mr. Bansal of AppDynamics, Billy Bosworth, CEO of database company DataStax, also opted against a “Sand Hill crawl”–taking a series of meetings up and down the Menlo Park, Calif., street that is home to many of the biggest venture firms–to maximize the valuation, he said.
Facing a talent crunch at home, young Bay Area companies are establishing teams of engineers around the world—and adjusting to the complexities of a far-flung workforce.The hunt to hire workers abroad comes as startups are also rushing to lure foreign workers to their Bay Area headquarters, as demand for top technical talent outstrips local supply.
To support Mr. Trepel’s work, Mr. Eberling said he is considering using cloud analytics from startup DataStax Inc., whose commercial version of the open-source Apache Cassandra database is designed to process large amounts of data in real-time.
Two major trends have emerged in the Big Data channel in recent months: First, NoSQL is becoming an increasingly popular database choice, and second, commitment to security is finally catching up with the drive to build Big Data infrastructures as quickly as possible.
DataStax, the company that was founded to take the Cassandra NoSQL data store created by Facebook commercial and therefore usable by mere enterprise data centers, is keeping to its cadence and is rolling up a new release of its DataStax Enterprise Edition.
To accommodate eBay’s explosive data growth— its data centers perform hundreds of millions of reads and writes each day—and the increasing demand to process data at blistering speeds, eBay needed a solution that did not have the typical bottlenecks, scalability issues and transactional constraints associated with common relational database approaches.
DataStax, which makes a commercial version of the highly scalable Apache Cassandra database, raised $25 million in Series C funding as the amount of data that organizations are trying to analyze continues to explode.
Today San Mateo, CA-based big data company DataStax announced it has raised $25 million in C round of funding led by Meritech Capital Partners, with participation from previous investors Lightspeed Venture Partners and Crosslink Capital.
The open source NoSQL database, which reached the 1.0 release stage last October, is now in use at companies including Disney, eBay, and Netflix, according to Jonathan Ellis, project chair for the Apache Cassandra project and CTO at DataStax, which offers commercial products and services based on Cassandra.
DataStax, a startup commercializing the Cassandra database, has fused Hadoop atop Cassandra to provide web applications fast access to data processed by Hadoop, and Hadoop fast access to data streaming into Cassandra from web users.
At the Structure Data 2012 conference in New York this week, DataStax, which as commercialized the Apache Cassandra NoSQL database originally created by Facebook and open sourced as an Apache project, has bolted on search to the data store and a plug in that lets it also search and index application logs.
DataStax, provider of Apache Cassandra, announced this week DataStax Enterprise 2.0 (DSE 2.0), its complete big data solution designed to manage real-time, analytic, and now enterprise search data, all in the same database cluster.
DataStax, which offers products and services based on the open source database Apache Cassandra, has announced DataStax Enterprise 2.0 (DSE 2.0), a big data solution designed to manage real-time, analytic, as well as enterprise search data, all in the same database cluster.
Apache open-source software distributors Pentaho and DataStax announced Tuesday that they have integrated their software to simplify the task of getting data into and out of the Cassandra NoSQL database.
During the recent round of NoSQL Road Show events it has emerged that this description could be taken to suggest that NewSQL products are able to provide consistency, availability and partition tolerance and therefore contravene the common understanding of CAP Theorem that “a distributed system can satisfy any two of these guarantees at the same time, but not all three.”
Cloud computing will help him manage that data with technologies that include distributed database management system Apache Cassandra, which was initially developed for Facebook, and cloud data platform MapReduce.
Another attractive attribute of Cassandra and other open source products is their low cost, as they’re designed to scale out on commodity hardware.”There’s an order-of-magnitude difference in the speed, performance, and cost of deploying conventional relational databases and Cassandra,” said Billy Bosworth, CEO at Cassandra enterprise support and system monitoring and management software provider DataStax.
Apache has announced the release of Cassandra 1.0.0, the first major milestone of the distributed column-based data store coming with data compression and several performance improvements and optimizations.
“We’re consciously signalling that Cassandra is ready for mere mortals,” said Jonathan Ellis, who is the Apache vice president of Apache Cassandra project, jokingly referring to the amount administrative expertise needed to deploy previous versions of the software.
The Apache Software Foundation announced Tuesday the release of Cassandra 1.0, the NoSQL database originally developed at Facebook for handling distributed, massive workloads common in cloud computing.
At OpenWorld, the company rolled out not only a social network, but a “NoSQL” database along the lines of MongoDB and Cassandra and a “public cloud” that follows in the footsteps of Amazon Web Services and Google App Engine.
DataStax, a provider of solutions based on the open source Apache Cassandra database platform, announced it is shipping an enterprise database platform designed to enable the management of both real-time and analytic workloads from a single environment.
This week at Oracle OpenWorld, Oracle execs unveiled what the company called an “end-to-end solution” for big data, designed to make massive data volumes readily available to BI, analytics and data warehouses.
I love data, I love the benefits that data analysis offers, and I love the concept of large amounts of data being massaged, queried, and providing insights through a whole new set of technical innovations – and there are many in data right now.
DataStax, which sells products built on top of the open source “NoSQL” data store Apache Cassandra, just announced a $11 million investment from Crosslink Capital and Lightspeed Venture Partners.The company also announced a new enterprise product which will be available in Q4, 2011.
InternetNews.com yesterday published an article based on an interview with Red Hat CEO Jim Whitehurst asking the question “Is Red Hat Interested in the Database Market?”
In truth there was no real need to ask the question, as Whitehurst’s comments made it pretty clear that Red Hat is interested in the database market, and specifically the NoSQL database market.
The discussion of big data technology can often be split into one side or another: the realtime capabilities of databases that often have to organize records at sub-second speeds, or the analytical capabilities of databases that have to comprehensively search those same records at the same level of speed.
Last week, in a piece from our friends at GigaOM, Database Grandpoobah Mike Stonebraker announced that Facebook’s continued dependance on MySQL was “a fate worse than death,” insisting that the social network’s only route to salvation is to “bite the bullet and rewrite everything.”
Established vendors and startups alike have spearheaded advanced technologies for managing petabytes of data that have sprung from social computing and data analysis applications, commonly called Big Data.
DataStax, the Burlingame, Calif.-based startup that sells commercial products and services on top of the NoSQL Cassandra database, has appointed database industry veteran Billy Bosworth as its new CEO.
DataStax, the commercial leader in Apache Cassandra, today released Brisk, a second-generation open source Hadoop distribution that the company says eliminates the key operational complexities with deploying and running Hadoop and Hive in production.
After launching its base product back in February 2011, Apache Cassandra focused company DataStax has announced a free version of its OpsCenter platform for the Cassandra open-source distributed database management system.