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.
Running an EOL version? Get matched with support options — free ↓| Version | Latest Release | Release Date | EOL Date | Days | Status |
|---|---|---|---|---|---|
| 1.0 | 1.0.2 | May 26, 2014 | Sep 3, 2014 | 4358 days past EOL | EOL |
| 1.1 | 1.1.1 | Sep 3, 2014 | Dec 10, 2014 | 4260 days past EOL | EOL |
| 1.2 | 1.2.2 | Dec 10, 2014 | Apr 5, 2015 | 4144 days past EOL | EOL |
| 1.3 | 1.3.1 | Mar 5, 2015 | Jun 2, 2015 | 4086 days past EOL | EOL |
| 1.4 | 1.4.1 | Jun 2, 2015 | Sep 8, 2015 | 3988 days past EOL | EOL |
| 1.5 | 1.5.2 | Sep 8, 2015 | Dec 21, 2015 | 3884 days past EOL | EOL |
| 1.6 | 1.6.3 | Dec 21, 2015 | Jul 19, 2016 | 3673 days past EOL | EOL |
| 2.0 | 2.0.2 | Jul 19, 2016 | Dec 15, 2016 | 3524 days past EOL | EOL |
| 2.1 | 2.1.3 | Dec 15, 2016 | Jun 26, 2018 | 2966 days past EOL | EOL |
| 2.2 | 2.2.3 | Jun 30, 2017 | Jan 30, 2019 | 2748 days past EOL | EOL |
| 2.3 | 2.3.4 | Feb 22, 2018 | Aug 25, 2019 | 2541 days past EOL | EOL |
| 2.4 LTS | 2.4.8 | Oct 29, 2018 | May 9, 2021 | 1918 days past EOL | EOL |
| 3.0 | 3.0.3 | Jun 6, 2020 | Dec 6, 2021 | 1707 days past EOL | EOL |
| 3.1 | 3.1.3 | Feb 22, 2021 | Aug 22, 2022 | 1448 days past EOL | EOL |
| 3.2 | 3.2.4 | Oct 6, 2021 | Apr 9, 2023 | 1218 days past EOL | EOL |
| 3.3 | 3.3.4 | Jun 9, 2022 | Dec 9, 2023 | 974 days past EOL | EOL |
| 3.4 | 3.4.4 | Apr 7, 2023 | Oct 21, 2024 | 657 days past EOL | EOL |
| 3.5 LTS | 3.5.9 | Sep 9, 2023 | Nov 30, 2027 | 478 days remaining | Active |
| 4.0 | 4.0.4 | May 19, 2025 | Nov 23, 2026 | 106 days remaining | Warning |
| 4.1 | 4.1.3 | Dec 11, 2025 | Jun 11, 2027 | 306 days remaining | Active |
| 4.2 | 4.2.0 | Jul 14, 2026 | Jan 11, 2028 | 520 days remaining | Active |
Live EOL badge for your README — updates automatically at every build.
[](https://endoflife.ai/apache-spark)
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.
Your options when Apache Spark reaches end of life
There are four realistic paths. Which one is right depends far more on how long the system needs to keep running than on the version you are on today.
| Option | Best when | Watch out for |
|---|---|---|
| Move to a supported version | The system will outlive the current version's support window and you can schedule the work | Budget for compatibility testing, not just the upgrade itself — that is where the real cost sits |
| Replace the component | The project is unmaintained, or a better-supported alternative exists | The replacement has its own lifecycle and its own end-of-life date — you are changing vendors, not escaping the problem |
| Buy extended support | Migration is genuinely underway but cannot finish before the deadline, or the workload is frozen by certification or a third-party application | A bridge, not a destination — every year purchased is a year the migration still has to happen |
| Document accepted risk | The system is isolated, short-lived, or scheduled for retirement | Only defensible with real compensating controls and a written decision — auditors treat undocumented end-of-life software as a finding |
How to choose, in one question: how many more years does this system need to run? Under a year, extended support (where it exists) is usually cheaper than an emergency migration. One to three years, migrate — support purchased repeatedly costs more than doing the project once, and the project only gets harder as the version ages. Indefinitely, migrate now and plan the next migration before it surprises you.
Worth saying plainly, because vendors selling extended support rarely will: extended support is often the more expensive choice over a multi-year horizon. It is the right answer when a deadline is genuinely unreachable, not as a default. Compare the annual fee against the one-time cost of migrating before committing to either.
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.
Apache Spark has 17 versions past end of life — security patches have stopped, but CVE disclosures haven't. The good news: extended support for Apache Spark exists — vetted vendors ship security patches for years past the official date. Tell us where to reach you and we'll reply with matched options and pricing guidance.