When did SQL Server 2017 come out?

Microsoft launched SQL Server 2017 on October 2nd, 2017 along with support for Linux.

What version of SQL Server is 2017?

14.0 for SQL Server 2017. 15.0 for SQL Server 2019.

How Long Will SQL Server 2017 be supported?

As with most Microsoft products, Microsoft provides mainstream support for a product for 5 years after its initial release.


Version SQL Server 2017
Release Date 9/29/2017
End of Mainstream Support 10/11/2022
End of Extended Support 10/12/2027

Is SQL Server 2017 stable?

Yes, SQL Server 2017 is stable. … SQL Server 2017 Developer edition is free.

Can SQL Server 2017 run on Windows 10?

Client versions of Windows 10 or 8.1 and Windows Server 2016 or Windows Server 2012 R2 RTM are needed for SQL Server 2017. Windows Server Essentials and Foundation Editions are also supported. However, the SQL Server setup requires a GUI and will not work on Core editions.

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Is SQL Server 2017 free?

Microsoft SQL Server 2017 Express is a free, feature-rich editions of SQL Server that is ideal for learning, developing, powering desktop, web & small server applications, and for redistribution by ISVs.

What is SQL 12?

The major SQL Server version of latest SQL Server Native Client is SQL Server 2012. It’s compatible with SQL Server 2014 and SQL Server 2016. For additional information review Installing SQL Server Native Client.

Is SQL 2005 end of life?

After 10 great years, extended support for all versions of SQL Server 2005 is coming to an end on April 12, 2016.

Which versions of SQL Server are still supported?

Microsoft SQL Server Product and Lifecycle Information

Microsoft SQL Server version Mainstream End Date Extended End Date
2014 09/07/2019 09/07/2024
2016 13/07/2021 14/07/2026
2017 11/10/2022 12/10/2027
2019 07/01/2025 08/01/2030

Is SQL Server dying?

No, SQL isn’t dying. There are many very capable NoSQL stores that do their jobs very well, supporting massive scale out with low costs. However, they don’t replace high-quality SQL-based stores—they complement them.

Should I use SQL Server 2017 or 2019?

You should consider SQL Server 2017 if…

You’re willing to apply patches every 30-60 days – because on newer releases like this, the patches are coming fast and furious, and they fix some pretty significant issues, and it’s going to be a while before 2019 comes out and 2017’s patches slow down.

What is the difference between SQL 2016 and 2017?

Once a major version of SQL Server falls out of Mainstream Support, there are no more Service Packs or Cumulative Updates. Only security updates are released while the major version is in Extended Support. … SQL Server 2017 will be fully supported for about 15 months longer than SQL Server 2016.

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What is the difference between SQL Server 2017 and 2019?

In the SQL Server 2019 version, a new feature for cloud readiness is added. The previous version (i.e. 2016, 2017) was also able to backup and disaster recovery to azure. But this new version of SQL Server supports free asynchronous replication on Azure Virtual Machines for disaster recovery.

Which laptop is best for SQL Server?

I wanted you to see real product prices, so I’ve included links to Amazon in the title.

  1. Acer Aspire 5 Slim. My list starts with one of the most popular laptops on Amazon: the Acer Aspire 5 Slim. …
  2. Acer Swift 3. …
  3. ASUS VivoBook. …
  4. Dell Vostro 15 5590. …
  5. DELL Latitude E7470. …
  6. HP 15s-eq0017nw. …
  7. Lenovo 2020 IdeaPad S340. …
  8. Apple MacBook Pro.

Which SQL Server is best for Windows 10?

Download Sql Server For Windows 10 – Best Software & Apps

  • SQL Server Management Studio Express. …
  • SQL Server 2019 Express Edition. …
  • dbForge SQL Complete Express. …
  • dbForge SQL Complete. …
  • dbForge Query Builder for SQL Server. …
  • Devart ODBC Driver for SQL Server. …
  • SQLTreeo SQL server desired state configuration.

How much memory does a SQL Server need?

SQL Server Maximum

The recommendation for Miscrosoft SQL 2016 Standard and Enterprise editions is that 4 GB memory be available for each SQL instance, with increases in memory as the SQL databases increase in size.