News

AWS data warehousing and analytics

• May 07, 2019 07 May'19

  ProvenDB brings blockchain applications to world of MongoDB

  Blockchain is intriguing technology, but carries with it high system overhead. ProvenDB adds blockchain to MongoDB in an effort to gain acceptable performance.

• February 01, 2019 01 Feb'19

  Open source cloud databases battle software 'strip mining'

  Cloud giants like AWS have adopted open source databases, causing Confluent, MongoDB and others to guard their assets the best way they know how: licensing.

• December 14, 2018 14 Dec'18

  Data companies vie to fill spots in AWS cloud data lineup

  Third-party vendors that offer data platforms to AWS users tout hedges against cloud lock-in. But they must both compete and collaborate with the cloud leader.

• November 30, 2018 30 Nov'18

  Amazon Timestream, QLDB aim to grab more DBMS users for AWS

  Built-for-purpose databases target general ones, especially in the cloud. At re:Invent 2018, AWS added time-series and transaction ledger databases to expand its line.

• 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.