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Comparison · Infra & APIs

Apache Pinot vs GLAuth

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

Apache Pinot vs GLAuth: at a glance

FeatureApache PinotGLAuth
SectorInfra & APIs, AnalyticsInfra & APIs
Velocity score6.30.0
Sparks · 30d10
Top themesreal-time-olap, sql-ddl, vector-search, materialized-viewsldap, authentication, security, maintenance
Last editorial update17h ago57m 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 GLAuth?

GLAuth's September releases are security dependency updates and build fixes.

GLAuth's 2.5.0 in April was the substantial release, adding OpenTelemetry tracing, embedded plugins and RISC-V builds. Since then releases have been corrective: disabled users rejected on all backends in 2.5.1, a release-time plugin check in 2.5.2, a port-handling fix in 2.5.3, and 2.5.4 on September 13 updating all dependencies to safe versions.

Read the full GLAuth trajectory →

Apache Pinot vs GLAuth: 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.

G
GLAuth
INFRA · APIS
0.0

GLAuth's September releases are security dependency updates and build fixes.

◆ Current state

GLAuth's 2.5.0 in April was the substantial release, adding OpenTelemetry tracing, embedded plugins and RISC-V builds. Since then releases have been corrective: disabled users rejected on all backends in 2.5.1, a release-time plugin check in 2.5.2, a port-handling fix in 2.5.3, and 2.5.4 on September 13 updating all dependencies to safe versions.

◆ Where it's heading

GLAuth is in maintenance after 2.5.0, with occasional security and build releases. No new features have shipped since April.

◆ Prediction

Expect occasional 2.5.x security updates; the entries give no sign of the next feature release.

Alternatives to Apache Pinot and GLAuth

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 GLAuth.

See all Apache Pinot alternatives → · See all GLAuth alternatives →

Recent activity from Apache Pinot and GLAuth

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. 10d agoApache PinotPinot 1.6.0 rc1 tag, no release notes
  3. 16d agoApache PinotPinot 1.6.0 RC0: first candidate with the 1.6 highlights
  4. 1mo agoGLAuthGLAuth 2.5.4 updates all dependencies for security
  5. 1mo agoGLAuthGLAuth 2.5.3 restores arbitrary port in tests
  6. 3mo agoGLAuthv2.5.2 checks plugin compatibility at release time
  7. 3mo agoGLAuthv2.5.1 rejects disabled users on every backend during Bind
  8. 4mo agoApache PinotApache Pinot 1.5.1
  9. 6mo agoApache PinotApache Pinot Release 1.5.0 ⚡
  10. 6mo agoGLAuthv2.5.0 wires OpenTelemetry tracing through GLAuth end to end ⚡
  11. 1y agoApache PinotApache Pinot Release 1.4.0

Frequently asked questions

What is the difference between Apache Pinot and GLAuth?

They serve adjacent needs but don't currently overlap on shipped themes. Apache Pinot is currently shipping more aggressively (velocity 6.3 vs 0.0), 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 GLAuth?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Apache Pinot is currently shipping more aggressively (velocity 6.3 vs 0.0), 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 GLAuth?

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