ZoneMinder
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Comparison · Infra & APIs
Apache Pinot vs Dashy
A side-by-side editorial comparison of Apache Pinot and Dashy — release velocity, themes, recent moves, and the top alternatives to consider.
Apache Pinot vs Dashy: at a glance
What is Apache Pinot?
Pinot 1.6 adds SQL DDL and vector backends, and now needs Java 25 to run its services.
1.6.0 on 29 October lets operators manage tables through CREATE, DROP and SHOW statements, gives materialized views DDL and single-stage query rewrite, and adds GROUPING SETS, ROLLUP and CUBE to both query engines. Vector search gains IVF_FLAT, IVF_PQ and IVF_ON_DISK backends alongside HNSW. The release also removes legacy pieces: native text and FST indexes, Spark 2 and Presto integrations, and APIs deprecated through 1.3.0.
What is Dashy?
Dashy shipped ten releases in five days; one fixes how auth headers trust origins
Dashy ships one release per merged PR. From October 26 to 31 that meant ten releases: six were Dependabot bumps, and the rest were fixes, including accepting IPv6 connections by default, a workspace header and search fix, an icon color fix, and a security fix for auth headers used with lookalike origins.
Apache Pinot vs Dashy: editorial side-by-side
Apache Pinot
6.3INFRA · APISANALYTICS
Pinot 1.6 adds SQL DDL and vector backends, and now needs Java 25 to run its services.
◆ Current state
1.6.0 on 29 October lets operators manage tables through CREATE, DROP and SHOW statements, gives materialized views DDL and single-stage query rewrite, and adds GROUPING SETS, ROLLUP and CUBE to both query engines. Vector search gains IVF_FLAT, IVF_PQ and IVF_ON_DISK backends alongside HNSW. The release also removes legacy pieces: native text and FST indexes, Spark 2 and Presto integrations, and APIs deprecated through 1.3.0.
◆ Where it's heading
Pinot is moving toward being operated like a SQL database. The multi-stage engine's SQL coverage has grown release by release, and table lifecycle now joins it, while vector backends pull retrieval workloads into the same store. The upgrade cost is real: Java 25 for services, Scala 2.13 for Spark artifacts, and mixed-version limits around SMART aggregation. Federation, the headline of 1.5, doesn't feature in the 1.6 highlights.
◆ Prediction
Expect materialized-view rewrite to reach the multi-stage engine, since it is single-stage only today. A security patch on 1.6 would match what followed 1.5.0.
Dashy
5.0INFRA · APIS
Dashy shipped ten releases in five days; one fixes how auth headers trust origins
◆ Current state
Dashy ships one release per merged PR. From October 26 to 31 that meant ten releases: six were Dependabot bumps, and the rest were fixes, including accepting IPv6 connections by default, a workspace header and search fix, an icon color fix, and a security fix for auth headers used with lookalike origins.
◆ Where it's heading
The cadence stays automated and small-grained, with the maintainer's own fixes interleaved with dependency updates.
◆ Prediction
More single-PR releases will follow; the entries give no sign of a larger feature release.
Alternatives to Apache Pinot and Dashy
Other Infra & APIs products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Apache Pinot or Dashy.
CRI-O
CRI-O ships patch releases across three branches with empty change notes
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Certbot keeps tidying correctness bugs around renewals and hooks
Routinator
Routinator 0.16 will validate ASPA and BGPsec, and run strict, by default
Buildkite
Buildkite drops long-lived GitHub credentials from self-hosted agents
AIReiter
AIReiter adds ByteDance's Seedream 5.0 Flash for fast, low-cost image generation and editing
See all Apache Pinot alternatives → · See all Dashy alternatives →
Recent activity from Apache Pinot and Dashy
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoDashyDashy 4.9.12 fixes auth-header trust of lookalike origins
- 2d agoDashyDashy 4.9.11 bumps brace-expansion for security
- 2d agoDashyDashy 4.9.10 fixes icon color bleeding into text
- 3d agoDashyDashy 4.9.9 bundles three dependency updates
- 4d agoApache PinotPinot 1.6.0: SQL DDL, IVF vector search, Java 25 requirement ⚡
- 6d agoDashyDashy 4.9.8 fixes workspace header and search
- 6d agoDashyDashy 4.9.7 bundles three dependency updates
- 10d agoApache PinotPinot 1.6.0 rc1 tag, no release notes
- 16d agoApache PinotPinot 1.6.0 RC0: first candidate with the 1.6 highlights
- 4mo agoApache PinotApache Pinot 1.5.1
- 6mo agoApache PinotApache Pinot Release 1.5.0 ⚡
- 1y agoApache PinotApache Pinot Release 1.4.0
Frequently asked questions
What is the difference between Apache Pinot and Dashy?
They serve adjacent needs but don't currently overlap on shipped themes. Apache Pinot is currently shipping more aggressively (velocity 6.3 vs 5.0), with 1 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is Apache Pinot better than Dashy?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Apache Pinot is currently shipping more aggressively (velocity 6.3 vs 5.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
What are the best alternatives to Apache Pinot?
Top Apache Pinot alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Apache Pinot alternatives" section above for the current picks, or visit /alternatives/apache-pinot for the full list with editorial commentary on each.
What are the best alternatives to Dashy?
Top Dashy alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Dashy alternatives" section above for the current picks, or visit /alternatives/dashy for the full list with editorial commentary on each.