Apache Spark · Lifecycle Status

Apache Spark End of Life (EOL) Dates & Support Timeline

Complete end-of-life dates, support windows, and security status for all Apache Spark versions. Data sourced from endoflife.date and official vendor documentation. Updated at every deploy.

Apache Spark 3.5.8 is actively supported. Next EOL: version 4.0 on November 23, 2026.
Latest Active
3.5.8
3.5 series
Next EOL
4.0
Nov 23, 2026
Active Versions
3
of 20 total
EOL Versions
17
no longer patched
Release Cycle Timeline
EOL   Warning   Active   Today
Release cycle timeline 201520162017201820192020202120222023202420252026202720281.01.11.21.31.41.51.62.02.12.22.32.43.03.13.23.33.43.54.04.1TODAY
All Versions
VersionLatest ReleaseRelease DateEOL DateDaysStatus
1.0 1.0.2 May 26, 2014 Sep 3, 2014 4266 days past EOL EOL
1.1 1.1.1 Sep 3, 2014 Dec 10, 2014 4168 days past EOL EOL
1.2 1.2.2 Dec 10, 2014 Apr 5, 2015 4052 days past EOL EOL
1.3 1.3.1 Mar 5, 2015 Jun 2, 2015 3994 days past EOL EOL
1.4 1.4.1 Jun 2, 2015 Sep 8, 2015 3896 days past EOL EOL
1.5 1.5.2 Sep 8, 2015 Dec 21, 2015 3792 days past EOL EOL
1.6 1.6.3 Dec 21, 2015 Jul 19, 2016 3581 days past EOL EOL
2.0 2.0.2 Jul 19, 2016 Dec 15, 2016 3432 days past EOL EOL
2.1 2.1.3 Dec 15, 2016 Jun 26, 2018 2874 days past EOL EOL
2.2 2.2.3 Jun 30, 2017 Jan 30, 2019 2656 days past EOL EOL
2.3 2.3.4 Feb 22, 2018 Aug 25, 2019 2449 days past EOL EOL
2.4 LTS 2.4.8 Oct 29, 2018 May 9, 2021 1826 days past EOL EOL
3.0 3.0.3 Jun 6, 2020 Dec 6, 2021 1615 days past EOL EOL
3.1 3.1.3 Feb 22, 2021 Aug 22, 2022 1356 days past EOL EOL
3.2 3.2.4 Oct 6, 2021 Apr 9, 2023 1126 days past EOL EOL
3.3 3.3.4 Jun 9, 2022 Dec 9, 2023 882 days past EOL EOL
3.4 3.4.4 Apr 7, 2023 Oct 21, 2024 565 days past EOL EOL
3.5 LTS 3.5.8 Sep 9, 2023 Nov 30, 2027 570 days remaining Active
4.0 4.0.2 May 19, 2025 Nov 23, 2026 198 days remaining Active
4.1 4.1.1 Dec 11, 2025 Jun 11, 2027 398 days remaining Active

What does Apache Spark end of life mean for your organization?

When a Apache Spark version reaches end of life, the maintainers stop issuing security patches. Vulnerabilities discovered after this date are publicly disclosed on the National Vulnerability Database, exploit code appears on GitHub, and your systems remain permanently exposed.

The CVE blind spot: Most vulnerability scanners check for known CVEs but do not flag the accumulation of unpatched vulnerabilities in EOL software. With a zero-day, nobody knows about the vulnerability. With EOL software, the vulnerability is public — listed, rated, and often weaponized — but no patch will ever exist. This is the most dangerous gap in enterprise security posture.

Organizations running EOL Apache Spark should treat it as a vulnerability class in their risk register, apply compensating controls (network segmentation, enhanced monitoring, access restriction), and prioritize migration to a supported version.

Check your full stack for EOL risk

Upload requirements.txt, package.json, or Gemfile — full EOL report instantly.

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Frequently Asked Questions
What is the end-of-life date for Apache Spark?
The next Apache Spark version reaching EOL is 4.0 on November 23, 2026. See the full table above for all version EOL dates.
What is the latest supported version of Apache Spark?
The latest active version of Apache Spark is 3.5.8. Always verify against the table above as support windows can change.
What happens when Apache Spark reaches end of life?
When Apache Spark reaches end of life, the vendor stops issuing security patches. Any CVEs disclosed after the EOL date accumulate indefinitely with no patch path — creating an ever-growing attack surface that most vulnerability scanners do not flag.
How do I check if I'm running an EOL version of Apache Spark?
Check your current version against the table above. If your version's EOL date has passed, you are running unsupported software. You can also use the endoflife.ai Stack Scanner to check your entire dependency file at once.
Is there extended support available for EOL Apache Spark versions?
Some vendors offer extended support for EOL software. Contact the original vendor or check with enterprise support providers for options.

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Data from endoflife.date API · endoflife.date · Generated at build time · How we source data →