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Comparison · Infra & APIs

Apache Pinot vs Apache ShenYu

A side-by-side editorial comparison of Apache Pinot and Apache ShenYu — release velocity, themes, recent moves, and the top alternatives to consider.

Apache Pinot vs Apache ShenYu: at a glance

FeatureApache PinotApache ShenYu
SectorInfra & APIs, AnalyticsInfra & APIs
Velocity score6.35.0
Sparks · 30d10
Top themesreal-time-olap, sql-ddl, vector-search, materialized-viewsapi-gateway, ai-proxy, mcp, token-limiting
Last editorial update3h ago56m ago
WebsiteVisit →Visit →

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.

Read the full Apache Pinot trajectory →

What is Apache ShenYu?

ShenYu's AI gateway plugins are back in motion, with 2.7.2 candidate tags in October.

Apache ShenYu's feed resumed on 28 October with two 2.7.2 release-candidate tags that carry only Maven plugin messages. GitHub shows a 2.7.1 release on 8 July that the feed missed, with MCP server URL fixes, test-determinism fixes and gateway refactors. The release history also shows a set of AI plugins growing alongside the traditional gateway ones: an AI proxy, a token-based limiter, a request transformer and an MCP server plugin.

Read the full Apache ShenYu trajectory →

Apache Pinot vs Apache ShenYu: editorial side-by-side

Apache Pinot logo
Apache Pinot
INFRA · APISANALYTICS
6.3

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.

A
Apache ShenYu
INFRA · APIS
5.0

ShenYu's AI gateway plugins are back in motion, with 2.7.2 candidate tags in October.

◆ Current state

Apache ShenYu's feed resumed on 28 October with two 2.7.2 release-candidate tags that carry only Maven plugin messages. GitHub shows a 2.7.1 release on 8 July that the feed missed, with MCP server URL fixes, test-determinism fixes and gateway refactors. The release history also shows a set of AI plugins growing alongside the traditional gateway ones: an AI proxy, a token-based limiter, a request transformer and an MCP server plugin.

◆ Where it's heading

ShenYu is positioning as a gateway for model traffic as well as service traffic. The AI plugins appear first as features and then as bug reports a release later, which is what real use looks like, and token-based rate limiting matches how LLM providers bill. The apparent eight-month silence was a feed gap, not a stall.

◆ Prediction

Expect 2.7.2 final soon after the candidate tags, likely with more MCP server plugin fixes. The tags carry no notes, so its contents can't be judged yet.

Alternatives to Apache Pinot and Apache ShenYu

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 Apache ShenYu.

See all Apache Pinot alternatives → · See all Apache ShenYu alternatives →

Recent activity from Apache Pinot and Apache ShenYu

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 4d agoApache PinotPinot 1.6.0: SQL DDL, IVF vector search, Java 25 requirement ⚡
  2. 4d agoApache ShenYu2.7.2 release-candidate tag (no notes)
  3. 4d agoApache ShenYuEarlier 2.7.2 candidate tag (no notes)
  4. 10d agoApache PinotPinot 1.6.0 rc1 tag, no release notes
  5. 16d agoApache PinotPinot 1.6.0 RC0: first candidate with the 1.6 highlights
  6. 4mo agoApache PinotApache Pinot 1.5.1
  7. 6mo agoApache PinotApache Pinot Release 1.5.0 ⚡
  8. 11mo agoApache ShenYuMCP server plugin fixes and Nacos sync cache corrections
  9. 1y agoApache PinotApache Pinot Release 1.4.0
  10. 1y agoApache ShenYuAI request transformer plugin joins the proxy and token limiter
  11. 1y agoApache ShenYuJWT SPI extension and Dubbo method configuration land

Frequently asked questions

What is the difference between Apache Pinot and Apache ShenYu?

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 Apache ShenYu?

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 Apache ShenYu?

Top Apache ShenYu alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Apache ShenYu alternatives" section above for the current picks, or visit /alternatives/shenyu for the full list with editorial commentary on each.