Database

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  • Review: Neo4j supercharges graph analytics
    by Martin Heller on February 19, 2018 at 11:00 am

    Neo4j is both the original graph database and the continued leader in the graph database market. Designed to store entities and relationships, and optimized to perform graph operations such as traversals, clustering, and shortest-path calculations, Neo4j shines at exploring data that consists of […]

  • MongoDB will support multidocument ACID transactions
    by Paul Krill on February 16, 2018 at 7:30 pm

    MongoDB will add multidocument ACID transactions support to its NoSQL database of the same name. Multidocument ACID transactions support has been the most-requested feature sought for MongoDB, said Seong Park, MongoDB’s vice president of strategy and product marketing.Multidocument […]

  • How to work with LiteDB in C#
    by Joydip Kanjilal on February 12, 2018 at 11:00 am

    LiteDB is a fast, simple, zero-configuration, embedded NoSQL database for .Net. It is a good choice for simple applications (web, mobile, or desktop) where you may need one data file per user but don’t need to support many concurrent write operations. This article presents an overview on how […]

  • Oracle’s cloud bravado masks its database despair
    by Matt Asay on February 5, 2018 at 11:00 am

    Oracle isn’t normally one to expose its fetishes, but the company’s fixation on Amazon Web Services has become glaringly, disturbingly obvious. Whether at OpenWorld, in analyst briefings, or on Twitter, Oracle can’t seem to talk about anything else. Two years ago Oracle peddled […]

  • Why you should use a graph database
    by Jeff Carpenter on January 31, 2018 at 11:00 am

    Jeff Carpenter is a technical evangelist at DataStax.There has been a lot of hype recently about graph databases. While graph databases such as DataStax Enterprise Graph (based on Titan DB), Neo4, and IBM Graph have been around for several years, recent announcements of managed cloud services like […]

  • NoSQL standouts: The best document databases
    by Serdar Yegulalp on January 24, 2018 at 11:00 am

    “The right tool for the right job.” If such wisdom holds true anywhere, it certainly holds true with the choice of database a developer picks for a given application. Document databases, one of the family of data products collectively referred to as “NoSQL,” are for […]

  • SQL unleashed: 17 ways to speed your SQL queries
    by Sean McCown on January 15, 2018 at 11:00 am

    SQL developers on every platform are struggling, seemingly stuck in a DO WHILE loop that makes them repeat the same mistakes again and again. That’s because the database field is still relatively immature. Sure, vendors are making some strides, but they continue to grapple with the bigger […]

  • An intro to Studio 3T, a MongoDB IDE
    by Andrew C. Oliver on January 11, 2018 at 11:00 am

    A good indication of whether a technology is in the plateau of productivity in Gartner’s hype cycle is when someone asks ”Is MongoDB dead?” on that bastion of, um, sane discussion, Quora. A second good indication is when there are productivity tools and at least a nascent […]

  • IDG Contributor Network: Data democratization: finally living up to the name
    by Harald Smith on January 10, 2018 at 6:02 pm

    Data democratization is the idea that digital information should be accessible and understandable to the average end user as a basis for decision-making. Data democratization has been promoted as a competitive advantage in the global economy and a desirable, egalitarian end-state where all […]

  • Why Microsoft’s Cosmos DB may displace AWS’s cloud databases
    by Matt Asay on January 8, 2018 at 11:00 am

    You might have gone into an alcohol-induced hibernation over the holidays, but cloud databases did not. More specifically, the cumbersomely named Microsoft Azure Cosmos DB did not, rocketing past AWS Redshift, as Begin founder Brian Leroux first noticed. While everything was “as you […]

  • CockroachDB review: A scale-out SQL database built for survival
    by Martin Heller on January 4, 2018 at 11:00 am

    Until very recently, when you shopped for a database you had to choose: Scalability or consistency? SQL databases such as MySQL guarantee strong consistency, but don’t scale well horizontally. (Manual sharding for scalability is no one’s idea of fun.) NoSQL databases such as MongoDB […]

  • The right technology strategy for modern retail
    by Andrew C. Oliver on December 25, 2017 at 11:00 am

    It is the end of the year. The holiday season. The moment of truth for many retailers and the technologists that work for them or have them as customers. Black Friday is over, the last-minute shopping is over. Now it is time to judge if you made book or not and plan for next year.As a customer, I […]

  • Top 5 open source tools for MySQL administrators
    by Michael Coburn on December 13, 2017 at 11:00 am

    Michael Coburn is a product manager at Percona. For database administrators (DBAs), keeping databases running at peak performance can be a little like spinning plates: It takes agility, concentration, quick reactions, a cool head, and an occasional call out from a helpful onlooker. Databases […]

  • IDG Contributor Network: The trifecta for your next-generation database: cloud, platform-as-a-service, and open source
    by David Yahalom on December 7, 2017 at 4:26 pm

    2017 has been a pivotal year for the database technologies market, with several massive paradigm shifts that shows no signs of stopping anytime soon. Companies are pivoting away from the traditional monolithic database architectures which, for decades, powered generations after generations of […]

  • Why old-school PostgreSQL is so hip again
    by Matt Asay on December 7, 2017 at 11:00 am

    PostgreSQL (aka Postgres) is old as dirt, yet over the past five years it has panned out as pure gold. MongoDB got the billion-dollar IPO and AWS launched the mind-bendingly cool Aurora Serverless, but it’s PostgreSQL that keeps having its moment—again and again and again.Now the […]

  • What is NoSQL? NoSQL databases explained
    by Serdar Yegulalp on December 7, 2017 at 11:00 am

    One of the most fundamental choices to make when developing an application is whether to use a SQL or NoSQL database to store the data. Conventional SQL (i.e. relational) databases are the product of decades of technology evolution, good practice, and real-world stress testing. They are designed […]

  • IDG Contributor Network: Are you treating your data as an asset?
    by Paul Stringfellow on November 30, 2017 at 6:05 pm

    It’s a phrase we constantly hear, isn’t it? Data is a crucial business asset from which we can extract value and gain competitive advantage. Those who use data well will be the success stories of the future.This got me thinking: If data is such a major asset, why do we hear so many […]

  • Azure Databricks: Fast analytics in the cloud with Apache Spark
    by Simon Bisson on November 28, 2017 at 11:00 am

    We’re living in a world of big data. The current generation of line-of-business computer systems generate terabytes of data every year, tracking sales and production through CRM and ERP. It’s a flood of data that’s only going to get bigger as we add the sensors of the industrial […]

  • IDG Contributor Network: Use the cloud to create open, connected data lakes for AI, not data swamps
    by David Taieb on November 27, 2017 at 7:28 pm

    Produced by every single organization, data is the common denominator across industries as we look to advance how cloud and AI are incorporated into our operations and daily lives. Before the potential of cloud-powered data science and AI is fully realized, however, we first face the challenge of […]

  • Real-time machine learning with TensorFlow, Kafka, and MemSQL
    by Gary Orenstein on November 15, 2017 at 11:00 am

    TensorFlow has emerged as one of the leading machine learning libraries, and when combined with an operational database, it provides the foundation for quickly building sophisticated machine learning workflows.In this post, we will explore a machine learning workflow using a speed dating dataset. […]

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