INFRA · APIS
Auth0 is rebuilding identity around actors that operate on someone else's behalf.
Alternatives · developer tools
Databricks alternatives
The best Databricks alternatives in developer tools, ranked by Sparkpulse's velocity_score.
Updated Aug 11, 2026
Looking for the best alternatives to Databricks? Sparkpulse tracks and ranks 12 alternatives in developer tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, Databricks shipped 0 meaningful updates in the last 30 days and carries a velocity score of 5.0 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.
About Databricks
Databricks lands DBR 18.2 GA on Spark 4.1; the 18.x line is the active story, older LTS pages are mostly doc refreshes.
The substantive shipping event in the window is Databricks Runtime 18.2 GA on May 4, the latest minor in a fast 18.x cadence on Spark 4.1.0 (18.0 in January, 18.1 in March, 18.2 Beta on April 8, GA on May 4). The rest of the recent feed is an April 13 documentation refresh that updated release notes for older LTS versions — 14.3, 15.4, 16.4, 17.3, 13.3 — without new shipping behind them.
Velocity 5.0 · Last update 3mo ago
Top 12 alternatives to Databricks
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
DEVOPS
GitHub is building the accounting layer for its agent platform, not just more agents.
INFRA · APIS
mod_auth_openidc audited itself, found eight holes, and broke every session on the way out
INFRA · APIS
Grype's entire roadmap is false positives — and it just went code-aware to cut them.
INFRA · APIS
Depot is expanding from faster builds into the whole CI stack — tests, source control, and its own metal.
INFRA · APIS
Ably is building an agent transport layer on its realtime core, shipping AI SDK versions every ten days.
INFRA · APIS
Four channels, one fix stream — werf's releases are mostly concurrency repairs.
INFRA · APIS
PAM and PKI now take up most of the lines in Infisical's release notes.
INFRA · APIS
Biome's patch train keeps adding rules — and is quietly growing a Markdown linter.
INFRA · APIS
DNSControl is rewriting its record internals in public, one release candidate at a time
INFRA · APIS
Casdoor ships a version bump per commit, and the recent run is all tenancy hardening.
INFRA · APIS
Timely is grinding down the friction between tracked time and the tools it has to reconcile with.
Databricks vs alternatives — shipping velocity at a glance
Velocity score (0–10) and meaningful releases shipped in the last 30 days, from official changelogs. Higher = shipping faster.
| Product | Velocity | Sparks · 30d | Focus areas | Latest release |
|---|---|---|---|---|
| Databricks (baseline) | 5.0 | 0 | data-platformspark-4databricks-runtime | — |
| Auth0 | 10.0 | 2 | agent-identitydelegationtoken-exchange | Custom Token Exchange - Session Delegation is now available in Open Early Access |
| GitHub | 10.0 | 0 | copilotagentsenterprise-governance | — |
| mod_auth_openidc | 6.3 | 1 | oidcapachesecurity-audit | Internal audit turns up eight security issues, including an identity-header bypass |
| Grype | 6.3 | 1 | vulnerability-scanningfalse-positivesreachability | Reachability analysis lands to cut Go false positives |
| Depot | 6.3 | 1 | ci-cdbuild-accelerationtest-analytics | Test results are now generally available |
| Ably | 6.3 | 1 | realtime-infrastructureai-agentsdurable-execution | AI Transport JS SDK v0.7.0: OpenAI Responses codec |
| werf | 5.0 | 0 | multi-channel-releasesbuildahconcurrency-fixes | — |
| Infisical | 5.0 | 0 | pampkisecret-rotation | — |
| Biome | 5.0 | 0 | lint-rulesmarkdown-supportframework-coverage | — |
| DNSControl | 5.0 | 0 | dnsinfrastructure-as-coderefactor | — |
| Casdoor | 5.0 | 0 | identitymulti-tenancyaccess-control | — |
| Timely | 5.0 | 0 | time-trackingautosheetintegrations | — |
The 12 best Databricks alternatives, in depth
1. Auth0 · velocity 10.0
Auth0 is rebuilding identity around actors that operate on someone else's behalf.
Over the last 30 days Auth0 shipped 2 meaningful updates vs Databricks's 0, most recently “Custom Token Exchange - Session Delegation is now available in Open Early Access”. Its velocity score of 10.0/10 blends that with longer-term release cadence.
Where Databricks leans on data platform, spark 4 and databricks runtime, Auth0 focuses on agent identity, delegation and token exchange.
Over the last 30 days Auth0 has been shipping faster than Databricks — a point in its favour if release momentum matters to you.
2. GitHub · velocity 10.0
GitHub is building the accounting layer for its agent platform, not just more agents.
Its velocity score of 10.0/10 reflects longer-term release cadence.
Where Databricks leans on data platform, spark 4 and databricks runtime, GitHub focuses on copilot, agents and enterprise governance.
GitHub and Databricks have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
3. mod_auth_openidc · velocity 6.3
Mod_auth_openidc audited itself, found eight holes, and broke every session on the way out.
Over the last 30 days mod_auth_openidc shipped 1 meaningful update vs Databricks's 0, most recently “Internal audit turns up eight security issues, including an identity-header bypass”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where Databricks leans on data platform, spark 4 and databricks runtime, mod_auth_openidc focuses on oidc, apache and security audit.
Over the last 30 days mod_auth_openidc has been shipping faster than Databricks — a point in its favour if release momentum matters to you.
Full mod_auth_openidc trajectory → · Compare Databricks vs mod_auth_openidc →
4. Grype · velocity 6.3
Grype's entire roadmap is false positives — and it just went code-aware to cut them.
Over the last 30 days Grype shipped 1 meaningful update vs Databricks's 0, most recently “Reachability analysis lands to cut Go false positives”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where Databricks leans on data platform, spark 4 and databricks runtime, Grype focuses on vulnerability scanning, false positives and reachability.
Over the last 30 days Grype has been shipping faster than Databricks — a point in its favour if release momentum matters to you.
5. Depot · velocity 6.3
Depot is expanding from faster builds into the whole CI stack — tests, source control, and its own metal.
Over the last 30 days Depot shipped 1 meaningful update vs Databricks's 0, most recently “Test results are now generally available”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where Databricks leans on data platform, spark 4 and databricks runtime, Depot focuses on ci cd, build acceleration and test analytics.
Over the last 30 days Depot has been shipping faster than Databricks — a point in its favour if release momentum matters to you.
6. Ably · velocity 6.3
Ably is building an agent transport layer on its realtime core, shipping AI SDK versions every ten days.
Over the last 30 days Ably shipped 1 meaningful update vs Databricks's 0, most recently “AI Transport JS SDK v0.7.0: OpenAI Responses codec”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where Databricks leans on data platform, spark 4 and databricks runtime, Ably focuses on realtime infrastructure, ai agents and durable execution.
Over the last 30 days Ably has been shipping faster than Databricks — a point in its favour if release momentum matters to you.
7. werf · velocity 5.0
Four channels, one fix stream — werf's releases are mostly concurrency repairs.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where Databricks leans on data platform, spark 4 and databricks runtime, werf focuses on multi channel releases, buildah and concurrency fixes.
werf and Databricks have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
8. Infisical · velocity 5.0
PAM and PKI now take up most of the lines in Infisical's release notes.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where Databricks leans on data platform, spark 4 and databricks runtime, Infisical focuses on pam, pki and secret rotation.
Infisical and Databricks have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full Infisical trajectory → · Compare Databricks vs Infisical →
9. Biome · velocity 5.0
Biome's patch train keeps adding rules — and is quietly growing a Markdown linter.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where Databricks leans on data platform, spark 4 and databricks runtime, Biome focuses on lint rules, markdown support and framework coverage.
Biome and Databricks have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
10. DNSControl · velocity 5.0
DNSControl is rewriting its record internals in public, one release candidate at a time.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where Databricks leans on data platform, spark 4 and databricks runtime, DNSControl focuses on dns, infrastructure as code and refactor.
DNSControl and Databricks have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full DNSControl trajectory → · Compare Databricks vs DNSControl →
11. Casdoor · velocity 5.0
Casdoor ships a version bump per commit, and the recent run is all tenancy hardening.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where Databricks leans on data platform, spark 4 and databricks runtime, Casdoor focuses on identity, multi tenancy and access control.
Casdoor and Databricks have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
12. Timely · velocity 5.0
Timely is grinding down the friction between tracked time and the tools it has to reconcile with.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where Databricks leans on data platform, spark 4 and databricks runtime, Timely focuses on time tracking, autosheet and integrations.
Timely and Databricks have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Frequently asked questions
What are the best alternatives to Databricks?
The top Databricks alternatives we currently track in developer tools are Auth0, GitHub, mod_auth_openidc, Grype, Depot, ranked by recent ship velocity.
How is this list of Databricks alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare Databricks directly with one of these alternatives?
Yes — every card has a "Compare with Databricks" link to a side-by-side /compare page.