Data estates are expansive. Organizations in all business verticals are operating data stacks that run on a mixture of legacy technologies that work effectively but aren’t always easy to move or ...
Relational SQL databases, which have been around since the 1980s, historically ran on mainframes or single servers—that’s all we had. If you wanted the database to handle more data and run faster, you ...
pgEdge Distributed PostgreSQL offers low latency and ultra high availability for applications running at or near the network edge and across cloud regions For application developers and database ...
A database that maintains a set of separate, related files (tables), but combines data elements from the files for queries and reports when required. The concept was developed in 1970 by Edgar Codd, ...
From monolithic database servers to no database servers at all. Can the serverless computing paradigm change the landscape for relational databases technologies as well? Serverless computing, a ...
Google today announced the launch of AlloyDB, a new fully managed PostgreSQL-compatible database service that the company claims to be twice as fast for transactional workloads as AWS’s comparable ...
Relational databases and the software that access them can be invaluable tools to businesses. Popular relational database management systems include Microsoft SQL Server, Oracle Database, as well as ...
Amazon Web Services (AWS) has announced a fully-managed document database service, building the Amazon DocumentDB (with MongoDB compatibility) to support existing MongoDB workloads. The cloud giant ...
If you want to know what’s what in Big Data analytics today, you’ve got to know the basics of NoSQL databases, and how appropriate NoSQL databases facilitate Big Data analytics. What are the most ...
Even with all the hype around NoSQL, traditional relational databases still make sense for enterprise applications. Here are four reasons why. In 2010, the talk about a "big data" trend has reached a ...
Most database startups avoid building relational databases, since that market is dominated by a few goliaths. Oracle, MySQL and Microsoft SQL Server have embedded themselves into the technical fabric ...