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Highlight vs TimescaleDB

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

Highlight vs TimescaleDB: at a glance

FeatureHighlightTimescaleDB
SectorAnalyticsAnalytics
Velocity score0.05.0
Sparks · 30d00
Top themesobservability, session replay, opentelemetry, sql analyticstime-series, columnstore, compression, query-planner
Last editorial update1h ago5d ago
WebsiteVisit →Visit →

What is Highlight?

Highlight grew from session replay into SQL-driven observability, then went quiet in August 2025.

Highlight is an open-source observability stack covering session replay, errors, logs, traces and metrics. Its last tagged self-hosted release, docker-v0.5.6, shipped in August 2025 with session-replay performance fixes and session restarts. Nothing has been tagged since.

Read the full Highlight trajectory →

What is TimescaleDB?

TimescaleDB 2.31 speeds columnstore UPDATE/DELETE and previews a new integer compressor.

TimescaleDB ships on a steady biweekly cadence where most releases are bug-fix patches for the columnstore, SkipScan and continuous aggregates. Feature releases have chipped at the cost of big hypertables: 2.30.0 made last-point LIMIT queries independent of chunk count, and 2.31.0 vectorizes UPDATE and DELETE on compressed data, adds non-blocking move_to_columnstore(), and previews an Adaptive Integer Compressor claiming up to 20% better integer compression. The 2.30.x patches fixed duplicate rows and crashes from the previous release's new planner node.

Read the full TimescaleDB trajectory →

Highlight vs TimescaleDB: editorial side-by-side

H
Highlight
ANALYTICS
0.0

Highlight grew from session replay into SQL-driven observability, then went quiet in August 2025.

◆ Current state

Highlight is an open-source observability stack covering session replay, errors, logs, traces and metrics. Its last tagged self-hosted release, docker-v0.5.6, shipped in August 2025 with session-replay performance fixes and session restarts. Nothing has been tagged since.

◆ Where it's heading

Through 2025 the releases added OpenTelemetry metrics ingest, a SQL editor and builder for graphs, SQL alerts and dashboards created from log and trace views. That pushed Highlight from a replay tool toward a general telemetry platform. The cadence then slowed from roughly monthly to a two-month gap before stopping.

◆ Prediction

The entries show no release in more than a year, so the self-hosted line's future is unclear. Any new tag would most likely be maintenance on session replay and OTel ingestion.

T
TimescaleDB
ANALYTICS
5.0

TimescaleDB 2.31 speeds columnstore UPDATE/DELETE and previews a new integer compressor.

◆ Current state

TimescaleDB ships on a steady biweekly cadence where most releases are bug-fix patches for the columnstore, SkipScan and continuous aggregates. Feature releases have chipped at the cost of big hypertables: 2.30.0 made last-point LIMIT queries independent of chunk count, and 2.31.0 vectorizes UPDATE and DELETE on compressed data, adds non-blocking move_to_columnstore(), and previews an Adaptive Integer Compressor claiming up to 20% better integer compression. The 2.30.x patches fixed duplicate rows and crashes from the previous release's new planner node.

◆ Where it's heading

The columnstore is being made a place where data can be changed, not just queried: chunk-level locking for DML in 2.29, vectorized DML and non-blocking compression in 2.31. Granular continuous-aggregate refresh is maturing alongside with APIs, views and refresh statistics. Each minor release is still followed by correctness patches.

◆ Prediction

2.32.0 will enable the Adaptive Integer Compressor by default, as the 2.31 notes state. Expect a couple of 2.31.x patches for the new DML and compression paths first.

Alternatives to Highlight and TimescaleDB

Other Analytics 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 Highlight or TimescaleDB.

See all Highlight alternatives → · See all TimescaleDB alternatives →

Recent activity from Highlight and TimescaleDB

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

  1. 5d agoTimescaleDB2.31.0: faster columnstore DML, adaptive integer compression preview
  2. 26d agoTimescaleDB2.30.2: chunk-merge crash fixes and renamed cagg refresh options
  3. 1mo agoTimescaleDB2.30.1: fixes duplicate rows from the new DeferredChunkAppend
  4. 1mo agoTimescaleDB2.30.0: last-point LIMIT queries no longer scale with chunk count
  5. 2mo agoTimescaleDB2.29.2: SkipScan and sparse-index wrong-result fixes
  6. 2mo agoTimescaleDB2.29.1: security fixes for compressed-data handling
  7. 1y agoHighlightdocker-v0.5.6: session replay performance and session restarts
  8. 1y agoHighlightdocker-v0.5.5: SQL alerts, log downloads, video in replays
  9. 1y agoHighlightdocker-v0.5.4: SQL joins and graphed error metrics
  10. 1y agoHighlightdocker-v0.5.3: dashboards and alerts from logs and traces
  11. 1y agoHighlightdocker-v0.5.2: OTel metrics in the web SDK
  12. 1y agoHighlightdocker-v0.5.1: SQL editor for graphs and OTel metrics export ⚡

Frequently asked questions

What is the difference between Highlight and TimescaleDB?

They serve adjacent needs but don't currently overlap on shipped themes. TimescaleDB is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 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 Highlight better than TimescaleDB?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. TimescaleDB is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to Highlight?

Top Highlight alternatives in Analytics are ranked by recent ship velocity. Browse the "Highlight alternatives" section above for the current picks, or visit /alternatives/highlight for the full list with editorial commentary on each.

What are the best alternatives to TimescaleDB?

Top TimescaleDB alternatives in Analytics are ranked by recent ship velocity. Browse the "TimescaleDB alternatives" section above for the current picks, or visit /alternatives/timescaledb for the full list with editorial commentary on each.