News

AWS data warehousing and analytics

• October 12, 2018 12 Oct'18

  MarkLogic Data Hub Service aims to ease cloud use of NoSQL DBMS

  MarkLogic rolled out a cloud-service version of its NoSQL database management system, a move designed to make the technology more cost-effective for cloud users.

• December 01, 2017 01 Dec'17

  AWS graph database Amazon Neptune sets sail at re:Invent 2017

  After Cyber Monday, Amazon Web Services techies headed for re:Invent 2017. There, among a deluge of cloud product announcements by AWS, the Amazon Neptune graph database surfaced.

• October 30, 2017 30 Oct'17

  Connectedness is king, as Neo4j graph database ports to Spark

  The Neo4j graph database emphasizes easy relationship mapping for diverse data points. Now, its related Cypher query language is hooking into Apache Spark.

• October 05, 2017 05 Oct'17

  Big data systems up ante on data quality measures for users

  At the Strata conference in New York, IT managers detailed steps they're taking to improve data quality in their big data environments in order to help ensure analytics accuracy.

• June 23, 2017 23 Jun'17

  MongoDB Atlas footprint grows bigger with Azure, Google cloud support

  MongoDB has expanded cloud coverage for its Atlas hosted database service, with Azure and Google versions joining an initial AWS-based offering to give users a choice on cloud platforms.

• May 12, 2017 12 May'17

  Startup Confluent makes Kafka cloud play to ease streaming deployment

  Kafka is a linchpin in many on-premises big data pipelines. Now, software vendor Confluent is offering a Kafka cloud service to ease use of the messaging and data streaming system in the cloud.

• April 20, 2017 20 Apr'17

  Spark processing engine more at home in cloud, Databricks CEO says

  Corporate users are becoming more open to deploying big data systems with Apache Spark in the cloud, Databricks CEO Ali Ghodsi says in a Q&A on the open source processing platform.

• March 31, 2017 31 Mar'17

  AWS data lake pumps up Beachbody's analytics architecture

  Fitness company Beachbody set up a data lake system in the AWS cloud to support big data analytics applications after deciding that an on-premises deployment would be too complicated.

• December 02, 2016 02 Dec'16

  Amazon ushers in pay-by-query pricing with Athena data engine

  Amazon's Athena data engine brings interactive SQL queries to S3 data sets and lets users pay as they go. It's based on an open source framework called Presto that Teradata and others also employ.

• September 30, 2016 30 Sep'16

  Vendors move to make Hadoop cloud deployments simpler, less costly

  Users increasingly are eyeing the cloud for big data management and analytics applications, and IT vendors are moving to ease the process -- and the price -- of running Hadoop in the cloud.

• August 30, 2016 30 Aug'16

  Snowflake cloud data warehouse targets gaps big clouds overlook

  Cloud data warehouse offerings from smaller vendors seek to address functionality gaps that bigger players may miss. Newcomer Snowflake Computing targets concurrent queries, for example.

• June 24, 2016 24 Jun'16

  DataStax gets graph DB and Titan gets rewrite

  DataStax Enterprise 5.0 couples a Cassandra column-family data store with a rewritten version of the open source Titan graph database. The goal is fast analytics closely tied to fast transactions.

• March 16, 2016 16 Mar'16

  Social media startup uses NoSQL Redis Cloud to 'scale to infinity'

  Because of growing data demands, and the need to nimbly scale up and down, a startup social networking platform chose a Redis Labs NoSQL database management system running on AWS.

• August 31, 2015 31 Aug'15

  IBM pushes MPP engine to boost cloud database services line

  IBM has added massively parallel processing and R language support to its dashDB software -- important steps for a data warehouse database tailored for distributed cloud computing.

• November 14, 2014 14 Nov'14

  Startup Cazena talks up big data in the cloud at AWS re:Invent

  Cazena, a stealth-mode startup founded by former Netezza executives, is looking to solve the pain points that many enterprises have with managing and analyzing big data in the cloud.