Splice Machine’s New OLAP Engine Adds Columnar Storage and In-Memory Caching to its Hybrid Relational Data Platform

Splice Machine, provider of the open-source SQL RDBMS powered by Apache Hadoop® and Apache Spark™, announced the release of version 2.5 of its industry-leading data platform for intelligent applications. The new version strengthens its ability to concurrently run enterprise-scale transactional and analytical workloads, frequently referred to as HTAP (Hybrid Transactional and Analytical Processing).

Hortonworks Advances Cloud Strategy with Availability of Hortonworks Data Cloud for Amazon Web Services

Hortonworks, Inc. ® (NASDAQ: HDP), a leading innovator of open and connected data platforms, announced the availability of Hortonworks Data Cloud on the Amazon Web Services (AWS) Cloud. Hortonworks Data Cloud for AWS enables users to harness the agility and elasticity of Apache® Hadoop™ and Apache® Spark™ in the cloud for powering new workloads and analytic applications. The new cloud service, powered by open source, delivers the most popular enterprise-grade capabilities of Hortonworks Data Platform (HDP®) with both hourly and annual billing options available on the AWS Marketplace.

AtScale 5.0 – Modern Business Intelligence Platform, Enables BI on Hadoop, On Premises and Cloud

AtScale, the company to provide enterprises with a fast and secure self-service BI platform for Big Data, announced a significant expansion of its services, from BI on Hadoop to BI on Big Data. With this announcement, the company introduces a Modern BI Platform that enables businesses to work seamlessly across all of Big Data, on premise and in the Cloud. In addition to Hadoop, the AtScale platform now supports Teradata data warehouses and Google Dataproc and BigQuery. This expands on the company’s existing support for Microsoft Azure and HDInsight.

ODPi Publishes Operations Specification Providing Developers Consistency Across Application Management Tools

ODPi, a nonprofit organization accelerating the open ecosystem of big data solutions, announced the availability of ODPi 2.0, which includes the first release of the ODPi Operations Specification and the Runtime Specification 2.0, to standardize the development model for big data solution and application providers and help enterprises improve installation and management of Hadoop-based applications.

MapR Event Recap: It’s All About Digital Transformation

Last week saw two compelling local big data events here in So Cal, both sponsored by MapR. I thought I’d provide a short recap of the events for those who were unable to attend. I was on a panel for the first event, “Digital Transformation in Big Data” and the discussion revolved around MapR’s unique vision for the “3 Keys to Digital Transformation.” For a detailed discussion, these points are well described in a recent blog post.

MapR Expands Big Data Innovations with New MapR Ecosystem Pack

MapR Technologies, Inc., provider of the industry’s Converged Data Platform, announced the next major release of the MapR Ecosystem Pack program, a broad set of open source ecosystem projects that enable big data applications running on the MapR Converged Data Platform while ensuring inter-project compatibility. These latest enhancements also add flexible access and provide new capabilities for streaming applications.

Big Data Events by MapR Coming to So Cal

MapR, the company behind the Converged Data Platform, is hosting two very timely upcoming big data events in Southern California. If you find yourself in Los Angeles, specifically Newport Beach in Orange County, and/or Santa Monica, please consider registering now.

New Business Intelligence Performance Benchmark Reveals Strong Innovation Amongst Open-Source projects

AtScale, the company providing business users with speed, security and simplicity for BI on Hadoop, released the results of its reference performance study: The Business Intelligence Benchmark for SQL-on-Hadoop engines.

Singapore Startup Develops Ultra-Fast Big Data Unification Technology by Avoiding MapReduce

Singapore-based startup, Percipient, has developed a way to sidestep a common Hadoop big data function, thereby shortening query processing time by more than 15 times.

3 Reasons In-Cluster Analytics is a Big Deal

In this special technology white paper, 3 Reasons In-Cluster Analytics is a Big Deal, you’ll learn about how recent technology advances within the Apache Hadoop ecosystem have provided a big boost to Hadoop’s viability as an analytics environment—above and beyond just being a good place to store data.