Evaluate

Evaluate

Weigh the pros and cons of technologies, products and projects you are considering.

• FaunaDB distributed cloud database hunts transactional NoSQL

  Startup Fauna has built a "relational NoSQL" database for distributed transaction processing. Data consistency and speedy builds attracted early user ShiftX. Continue Reading

• Don't let blockchain complexity bog down business applications

  Enterprise blockchain applications that run in a controlled environment don't require some of the components of cryptocurrency networks, explains expert David Teich. Continue Reading

• 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. Continue Reading

• What is the difference between DBMS and RDBMS?

  A relational database management system is the most popular type of database management system for business uses. Find out how RDBMS software differs from DBMS technology in general. Continue Reading

• Trifacta data prep tool helps blend disparate data sources

  Handling diverse data sources usually consumes precious developer time. That led healthcare CRM company SymphonyRM to hand the data prep task to business analysts. Continue Reading

• Neo4j graph database targets AI use cases, performance

  The Neo4j graph database is poised for use in AI applications, in which understanding data can stymie efforts. Recent updates target AI needs and performance issues.Continue Reading

• Cloud buoys data microservices -- for on-premises systems, too

  Data in a microservices architecture is percolating anew. This news analysis looks at IBM Cloud Private for Data and other means to harmonize data in public and private locations.Continue Reading

• Cloudera-Hortonworks merger narrows Hadoop users' options

  Hadoop users will have fewer choices as big data rivals Cloudera and Hortonworks unite. But the new company may be more competitive with AWS and Google.Continue Reading

• 5 trends driving the big data evolution

  The speedy evolution of big data technologies is connected to five trends, including practical applications of machine learning and cheap, abundantly available compute resources.Continue Reading

• Open source database software finally gets down to business

  Once used primarily in web applications, open source databases are finding a place in more mission-critical business systems -- a development explored in this handbook.Continue Reading

• Open source RDBMS uses spurred by lower costs, cloud options

  Open source technologies have become more capable alternatives to mainstream relational databases for cost-conscious users -- and the cloud makes them more accessible.Continue Reading

• Beyond the RDBMS: Data warehouse vs. data lake vs. data mart

  There are many ways to store big data, but the choice of data warehouse vs. data lake vs. data mart comes down to who uses the data and how. Use this cheat sheet to compare.Continue Reading

• Open source DBMS software gains foothold in enterprise IT

  Open source databases are increasingly making their way into corporate IT environments, says Gartner analyst Merv Adrian in a Q&A. But some care is required.Continue Reading

• eHarmony hooks up with Redis NoSQL database for hot storage

  The Redis key-value store finds use in a system to match would-be romantic partners on dating site eHarmony, which employs a variety of NoSQL databases to make love click online.Continue Reading

• Four first steps for customer data management

  Forrester's Mike Gualtieri details how to develop a unified plan to manage customer data that gives business users what they need to manage CRM programs.Continue Reading