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In-depth vendor comparison: PostgreSQL vs. SQL Server

Open source databases like PostgreSQL are offering strong competition to established players like Microsoft’s SQL Server, and businesses are unsure as to which relational database they should choose.

The reality is that each one has different use cases, advantages, and drawbacks, and without careful examination of these it can be hard to make the right database choice.

Access this detailed vendor comparison to see how these two leading relational databases, PostgreSQL and SQL Server, stack up against each other when it comes to licensing and costs, ease of use, extra features, security, and more.

These are also closely related to: "Toad™ for Oracle Xpert Trial"

  • The Expert’s Guide To Integrating Postgresql®

    As PostgreSQL has become the database of choice for many ecommerce transactions, reporting systems, and systems of engagement, it’s increasingly necessary for DBAs to master their ability to flawlessly integrate these DBs within their wider data ecosystem.

    That’s why this guide is something you shouldn’t miss.

    Download this white paper to learn the skills you need to become an expert in PostgreSQL database integration in a variety of use cases, including applications that create and consume data, development tools for app developers and DB developers, security environments, and more.

  • Jargon buster guide to database management

    Database management roles have long been a rich career seam for IT professionals. However, there has been, in recent years, a “Cambrian explosion” in the previously steady but sleepy world of databases.

    The relational database model, breaking the traditional dependency between data storage and applications, held sway in enterprise IT for decades, from the time of its serious commercialisation by Oracle in the mid-7os. Also hegemonic has been the language implementation of the relational model, SQL – Structured Query Language; which is of the same mid-70s vintage.

    But, in recent years, with the rise of the big data technologies of the Hadoop stack and the NoSQL databases, the data store and database scene has become more complex.

    And when it comes to the Oracle database, its creator announced it to be “autonomous” at Oracle Open World in San Francisco October 2017. What does this mean for database administrators (DBAs)? Does it mean the opening up of new roles of higher intellectual interest and value? Or does it mean redundancy and early retirement?

    As always with IT, the technology is only one-third of the story – the others being process and, crucially, people. What are the operational and organisational design problems to be solved in this more heterogenous database management landscape?

    This Jargon Buster e-guide to contemporary database management is an aid to stepping back and thinking afresh about an area of enterprise IT that has many decades of heritage. Or, as many sometimes (arguably rudely) put it, legacy.

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    Traditional relational databases are no longer cutting it when it comes to providing a flexible, powerful, and universal data repository. Read on to learn more about document databases, which are based on JSON-like files, and why they are becoming a more adaptive alternative to support analytical workloads.

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  • Your guide to mastering cloud DBs—and cloud data management

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  • Infographic: Ransomware timeline

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