Splice Machine version 1.0 supports analytic window functions and integration with Hadoop ecosystem. Splice Machine team recently released their Hadoop based RDBMS data management solution that can be used for transactional workloads on Hadoop.
LinkedIn recently open sourced Cubert, its High Performance Computation Engine for Complex Big Data Analytics. Cubert is a framework written for analysts and data scientists in mind.Developed completely in Java and expressed as a scripting language, Cubert is designed for complex joins and aggregations that frequently arise in the reporting world.
At the 2014 QCon San Francisco conference, LinkedIn's Lin Qiao gave a talk on their Gobblin project (also summarized in a blog post) that is a unified data ingestion system for their internal and external data sources.
Stripe, the internet payments infrastructure company recently announced open sourcing a set of internally developed tools based on Apache Hadoop.Timberlake, Brushfire, Sequins and Herringbone all contribute to enriching the available tools for building an Apache Hadoop stack.
Databricks has recently announced a new record in the Daytona GraySort contest using the Spark processing engine. The Daytona GraySort contest is a 3rd party benchmark measuring how fast a system can sort 100 Terabytes of data. Databricks posted a throughput of 4.27 TB/min over a cluster of 206 machines for their official run.
Hortonworks Data Platform (HDP) version 2.2 with features based around Hadoop and YARN has better support for enterprise features such as security, compliance and so on as well.
Microsoft recently announced new machine learning capabilities for Microsoft Azure platform. Developers can also create their own web services and publish them to Azure Marketplace. Microsoft also announced availability of Apache Storm for Azure. Azure Stream Analytics, Data Factory and Event Hubs for Azure were all announced in the past few weeks by Microsoft. In this article we explore moreabout
Hunk is a relatively new product from Splunk for exploring and visualizing Hadoop and other NoSQL data stores. New in this release is support for Amazon’s Elastic MapReduce.
MapR recently announced including Apache Drill in its latest release of MapR distribution. Apache Drill is the open source version of Google’s Dremel. Dremel is the infrastructure on which BigQuery is based upon. Drill is offering a low latency SQL-on-Hadoop interface. While this puts it in the same space as several other technologies around Hadoop, Drill has some unique characteristics setting it
Following on from the Stinger initiative delivered in Apache Hive 0.13, Hortonworks has laid out the Stinger.next roadmap to provide fully ACID transactions, a sub-second query engine, and more complete SQL 2011 analytics support, all driving towards the goal of “enhancing the speed, scale and breadth of SQL support” in Hive.
Cloudera recently released an update over Project Rhino and data at-rest encryption in Apache Hadoop. Project Rhino is an effort of Cloudera, Intel and Hadoop community to bring a comprehensive security framework for data protection. InfoQ recently talked to Steven Ross from Cloudera team to learn more about the project.
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.