Cloudbreak, a new open-source and cloud-agnostic Hadoop as a Service API, is now open for beta access to application developers and enterprises. SequenceIQ, Cloudbreak's maker, claims that its freely available product will make it easier to manage and monitor on-demand Hadoop clusters while also abstracting their provisioning.
Hadoop distributor Cloudera pursued its strategy of securing the Hadoop ecosystem by acquiring last month the big data encryption and key management startup Gazzang. The deal will strengthen Cloudera's security offering and lead to the creation of a center of excellence for Hadoop security that will initially be fueled by Gazzang’s engineering team.
Hortonworks recently acquired the data security company XA Secure to help the organization in providing comprehensive security to Hortonworks Data Platform (HDP). Security features would be available across all Hadoop workloads from batch, interactive SQL and real–time.
Hadoop Summit Day Two report covers the important trends and changes from last year's summit. It also covers the important announcements of the day in relation to this year's trending topics. This report shares an analysis of the Hadoop market by leading analysts, competing benchmarks by vendors and platform specific innovations and announcements.
Hadoop Summit Day One report covers the important trends and changes from last year's summit. It also covers the important announcements of the day in relation to this year's trending topics. This report focuses on the platform specific innovations and announcements and not the broader partner ecosystem, which will be covered in the next few days.
DataTorrent is a real-time streaming and analyzing platform that can process over 1B real-time events/sec.
This year's ApacheCON North America conference saw key speakers focus on open source and its community. With more than 400 attendees, over 70 projects represented and 180 conference sessions it covered as many diverse topics as diverse the Apache Software Foundation projects are.
Twitter Engineering has released details about Manhattan, its real-time, multi-tenant distributed database.
Hortonworks announced the release of Hive 0.13 which marks the completion of the Stinger initiative. The new release also includes performance improvements as well as some new SQL features. Hive is an open source SQL Engine written on top of Hadoop that lets users query big data warehouses by writing SQL queries instead of MapReduce jobs.
Microsoft has announced their implementation of the Apache Avro wire protocol. Avro is described a “compact binary data serialization format similar to Thrift or Protocol Buffers” with additional features needed for distributed processing environments such as Hadoop.
The recently released open source scan report by Coverity mainly detected and fixed Resource Leaks, Null Pointer and Control Flow issues besides several other issues. It also scanned the source code of Linux and fixed several bugs.
Starting from the premise that today “80 percent of enterprise data is unstructured and growing at twice the rate of structured data”, Cloudera and MongoDB have announced a “strategic” partnership meant to provide customers the option to combine Cloudera’s Apache-based Big Data platform with MongoDB’s NoSQL solution.
Cloudera recently released the latest version of its software distribution, CDH5. Almost 20 months after the last major version, CDH4 seems like ages in the Big Data world. We take a look at new features this release brings and the future direction of Cloudera after the latest round of investment from Intel and Google Ventures.
Hadoop 2.4.0 was recently released with several enhancements to both HDFS and YARN. This includes support for Access Control Lists, Native support for Rolling upgrades, Full HTTPS support for HDFS, Automatic failover of YARN and other operational improvements
The social-networking company AddThis open-sourced Hydra under the Apache version 2.0 License in a recent announcement. Hydra grew from an in-house platform created to process semi-structured social data as live streams and do efficient query processing on those data sets.