Instaclustr Launches Managed Open Source-as-a-Service Platform
The platform provides managed and integrated Apache Cassandra, Apache Spark, Elasticsearch, Kibana, Lucene, and Zeppelin as 100% open source, zero lock-in solutions
Snowflake Sparkles With Native Apache(TM) Spark Connector
Snowflake Data Source for Spark Provides Fully Managed, Governed, and Secure Elastic Cloud Data Warehouse for Apache Spark Data
Platfora Further Democratizes Big Data Discovery, Broadening Accessibility to Its Platform to Any User via Any BI Tool
Newest Release Integrates Directly With Tableau and Makes Valuable Data Accessible to All With Lens-Accelerated SQL(TM) Powered by Apache Spark(TM)
Redis Accelerates Spark by Over 100 Times
MOUNTAIN VIEW, CA — (Marketwired) — 02/02/16 — Redis Labs, the home of Redis, today announced its integration with Spark SQL and the release of the package. Redis Labs– using time-series data show that running Spark on Redis as a data store results in 135 times faster processing compared to Spark using HDFS and 45 times faster processing compared to Spark using Tachyon as an off-heap data store or Spark storing the data on-heap.The Spark-Redis connector package is open source and provides
Kafka Summit 2016 Early Bird Registration Now Open
Confluent to Host Inaugural Conference for the Apache Kafka Community in San Francisco on April 26, 2016
Impetus to Showcase Real-Time Streaming Analytics Capabilities at Spark Summit
LOS GATOS, CA — (Marketwired) — 03/19/15 — Impetus Technologies, a Big Data thought leader, software services and solutions company, today announced its participation as a sponsor and exhibitor at the to be held at in New York during March 18-19, 2015.Today, large enterprises with their Big Data projects are indicating a growing interest in real-time streaming data analytics. Apache Spark Streaming is one of the prime technologies which addresses this need. Impetus offers consulting and im
Glassbeam Unveils Machine Learning and Real Time Analytics Capabilities
Glassbeam SCALAR Platform Addresses the Needs of IoT and Big Data Analytics, Integrating Apache Spark for Lightning-Fast Processing of Complex Machine Data
Trifacta Teams With Databricks to Extend Trifacta–s Data Transformation Platform to Spark
Trifacta Data Transformation Platform v2 Includes Execution Through Spark as a Data Processing Engine for Hadoop Data Transformation