Neo Technology, the company behind the graph NoSQL database Neo4j, recently released version 2.3 of the database. They also announced openCypher initiative to help with creating a standard graph query language. InfoQ spoke with Philip Rathle, VP of Products at Neo Technology, about the new features in the latest release of Neo4j and openCypher announcement.
In this article, author Dan Macklin discusses the transition to Riak NoSQL and Erlang based architecture coupled with Convergent Replicated Data Types (CRDTs) and lessons learned with the transition.
ColumnarStore can offer performance improvements over traditional tables, but aren’t always faster. Aleksandr Shavlyuga explores the power, and limitations of SQL Server’s ColumnStore Indexes.
Author Lenley Hensarling discusses Foreign Data Wrapper (FDW) feature in Postgres database. FDW provides a SQL interface for accessing data from disparate sources like NoSQL databases.
An interview with Google's William Vambenepe, who's lead product manager for Big Data services, to ask him about the shift from products to services when working with Big Data.
NoSQL for Mere Mortals introduces the major types of databases that fall under the NoSQL umbrella and explains both their advantages and shortcomings. Review and interview with the author.
DevOps is the industrialization of IT, says Nati Shalom. Organizations that wish to optimize for speed and cost cannot afford silos anymore."Doing DevOps" is not adding new features to existing tools.
Graph NoSQL databases support data models with connected data. In this article, author discusses security implications of graph databases in use cases like graph discovery and knowledge management.
When building a web application there are lot of choices for the database. In this article, author discusses why Neo4j is a good choice if data model contains lot of connected data and relationships.
In this article, Basho Sr. Software Engineer Chris Meiklejohn explores the basic building blocks for crafting deterministic applications that guarantee convergence of data without synchronization. 1
Apache Spark is an open source big data framework built around speed, ease of use, and sophisticated analytics. In this article, Srini Penchikala discusses how Spark helps with big data processing. 3
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