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Databricks Launches Delta To Combine the Best of Data Lakes, Data Warehouses and Streaming Systems

Databricks, provider of the leading Unified Analytics Platform and founded by the team who created Apache Spark™, announced Databricks Delta, the first unified data management system that provides the scale and cost-efficiency of a data lake, the query performance of a data warehouse, and the low latency of a streaming ingest system. Databricks Delta, a […]

Apache Spark Expands With Cypher, Neo4j’s ‘SQL For Graphs,’ Adds Declarative Graph Querying

Neo4j, a leader in connected data, announced that it has released the preview version of Cypher for Apache Spark (CAPS) language toolkit. This combination allows big data analysts to incorporate graphs and graph algorithms in their work, which will dramatically broaden how they reveal connections in their data.

Impetus Technologies Delivers Visual Spark Studio – A New, Free Development Tool to Accelerate Spark Adoption in Enterprises

Impetus Technologies, a big data software products and services company, announced the immediate availability of Visual Spark StudioTM, a new standalone tool aimed at addressing the increasing demand for Spark-based analytic and data processing solutions in enterprises.

Databricks Secures $140 Million to Accelerate Analytics and Artificial Intelligence in the Enterprise

Databricks, provider of the leading Unified Analytics Platform and founded by the team who created Apache Spark™, announced it has secured $140 million in a Series D funding round led by Andreessen Horowitz. New Enterprise Associates and Battery Ventures also participated.

Interview: Ash Munshi, CEO at Pepperdata

I recently caught up with Ash Munshi, CEO at Pepperdata, to get a rundown on his company, a sense for how big data and DevOps are related, some highlights on new product offerings, and his sense for where Pepperdata is headed in the future.

IBM Combines All-Flash and Storage Software Optimized for Hortonworks

IBM (NYSE: IBM) announced a new all-flash, high-performance data and file management solution for enterprise clients running exabyte-scale big data analytics, cognitive and AI applications. The combined flash and storage software solution has been certified with the Hortonworks Data Platform (HDP) to provide clients with more choice in selecting the right platform for their big data analytics on data processing engines like Hadoop and Spark.

GigaSpaces Launches InsightEdge 2.1 to Accelerate Insight-Driven Transformation

GigaSpaces, a leading provider of in-memory computing (IMC) platforms, has upgraded InsightEdge, a Hybrid Transactional and Analytical Processing platform, to support Apache Spark 2.1. InsightEdge leverages Spark and GigaSpaces’ open source IMC data grid, provides a mission critical distributed RAM/SSD/SCM data store.

Unravel Data Adds Native Support for Impala and Kafka

Unravel Data, the Application Performance Management (APM) platform designed for Big Data, announced that it has integrated support for Cloudera Impala and Apache Kafka into its platform, allowing users to derive the maximum value from those applications. Unravel continues to offer the only full-stack solution that doesn’t just monitor and unify system-level data, but rather tracks, correlates, and interprets performance data across the full-stack in order to optimize, troubleshoot, and analyze from a single pane.

Impetus Technologies Unveils New, TensorFlow-Based Deep Learning Feature on Apache Spark for StreamAnalytix

Impetus Technologies, a big data software products and services company, announced integration of a new, deep learning capability for its StreamAnalytix™ platform. Based on the TensorFlow™ open source software library for machine learning, this new capability demonstration showcases an image recognition application running on an Apache Spark Streaming pipeline on StreamAnalytix.

Databricks Simplifies and Scales Deep Learning with New Apache Spark Library

Databricks, the company founded by the creators of the popular Apache Spark project, announced Deep Learning Pipelines, a new library to integrate and scale out deep learning in Apache Spark.