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.
| Version | Latest Release | Release Date | EOL Date | Days | Status |
|---|---|---|---|---|---|
| 1.0 | 1.0.2 | May 26, 2014 | Sep 3, 2014 | 4311 days past EOL | EOL |
| 1.1 | 1.1.1 | Sep 3, 2014 | Dec 10, 2014 | 4213 days past EOL | EOL |
| 1.2 | 1.2.2 | Dec 10, 2014 | Apr 5, 2015 | 4097 days past EOL | EOL |
| 1.3 | 1.3.1 | Mar 5, 2015 | Jun 2, 2015 | 4039 days past EOL | EOL |
| 1.4 | 1.4.1 | Jun 2, 2015 | Sep 8, 2015 | 3941 days past EOL | EOL |
| 1.5 | 1.5.2 | Sep 8, 2015 | Dec 21, 2015 | 3837 days past EOL | EOL |
| 1.6 | 1.6.3 | Dec 21, 2015 | Jul 19, 2016 | 3626 days past EOL | EOL |
| 2.0 | 2.0.2 | Jul 19, 2016 | Dec 15, 2016 | 3477 days past EOL | EOL |
| 2.1 | 2.1.3 | Dec 15, 2016 | Jun 26, 2018 | 2919 days past EOL | EOL |
| 2.2 | 2.2.3 | Jun 30, 2017 | Jan 30, 2019 | 2701 days past EOL | EOL |
| 2.3 | 2.3.4 | Feb 22, 2018 | Aug 25, 2019 | 2494 days past EOL | EOL |
| 2.4 LTS | 2.4.8 | Oct 29, 2018 | May 9, 2021 | 1871 days past EOL | EOL |
| 3.0 | 3.0.3 | Jun 6, 2020 | Dec 6, 2021 | 1660 days past EOL | EOL |
| 3.1 | 3.1.3 | Feb 22, 2021 | Aug 22, 2022 | 1401 days past EOL | EOL |
| 3.2 | 3.2.4 | Oct 6, 2021 | Apr 9, 2023 | 1171 days past EOL | EOL |
| 3.3 | 3.3.4 | Jun 9, 2022 | Dec 9, 2023 | 927 days past EOL | EOL |
| 3.4 | 3.4.4 | Apr 7, 2023 | Oct 21, 2024 | 610 days past EOL | EOL |
| 3.5 LTS | 3.5.8 | Sep 9, 2023 | Nov 30, 2027 | 525 days remaining | Active |
| 4.0 | 4.0.3 | May 19, 2025 | Nov 23, 2026 | 153 days remaining | Warning |
| 4.1 | 4.1.2 | Dec 11, 2025 | Jun 11, 2027 | 353 days remaining | Active |
What does Apache Spark end of life mean for your organization?
When a version of Apache Spark 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.
Extended Support Options
If you cannot migrate immediately, extended support vendors provide continued security patches for EOL Apache Spark versions. This is a bridge, not a permanent solution — plan your migration in parallel.
We work with vetted extended support vendors. Tell us what you need and we'll connect you with the right provider.
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