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Comparison · Analytics
Shynet vs TimescaleDB
A side-by-side editorial comparison of Shynet and TimescaleDB — release velocity, themes, recent moves, and the top alternatives to consider.
Shynet vs TimescaleDB: at a glance
What is Shynet?
Shynet went silent for two and a half years and a security audit is what woke it up.
Shynet's most recent release closes two externally reported vulnerabilities: a wildcard ALLOWED_HOSTS default enabling password reset poisoning, and stored XSS in two template filters, both credited to an outside security firm. It arrived after a gap of roughly two and a half years, and the release before it was a temporary dependency install workaround. The dashboard features people associate with the project — the annotated world map, the map-versus-table toggle — all date from 2021.
What is TimescaleDB?
TimescaleDB trades new features for lock contention wins and a security patch
TimescaleDB is on a steady point-release cadence, and the most recent build is a security release: 2.29.1 fixes three vulnerabilities with an accompanying advisory and a recommendation to upgrade promptly. The two feature-bearing releases in this window are both performance work on the compression layer. 2.29.0 added chunk exclusion for DML so UPDATE and DELETE acquire row exclusive locks only on the chunks they touch, and 2.28.0 made first() and last() read straight from columnstore batch metadata without decompressing batches.
Shynet vs TimescaleDB: editorial side-by-side
Shynet
0.0ANALYTICS
Shynet went silent for two and a half years and a security audit is what woke it up.
◆ Current state
Shynet's most recent release closes two externally reported vulnerabilities: a wildcard ALLOWED_HOSTS default enabling password reset poisoning, and stored XSS in two template filters, both credited to an outside security firm. It arrived after a gap of roughly two and a half years, and the release before it was a temporary dependency install workaround. The dashboard features people associate with the project — the annotated world map, the map-versus-table toggle — all date from 2021.
◆ Where it's heading
The arc is a project that had real community momentum and then stopped. In 2021 releases were arriving monthly and were, by the maintainer's own note, driven entirely by contributors; by 2023 the content was dependabot bumps and build workarounds; after that, nothing until a security report forced a response. Nothing in the recent entry suggests development resumed more broadly — it is a targeted fix release, not a return to cadence.
◆ Prediction
These entries give no basis for expecting feature work to resume; the realistic expectation is that the next release, whenever it comes, is again driven by an external security report or a dependency that stops installing.
TimescaleDB
5.0ANALYTICS
TimescaleDB trades new features for lock contention wins and a security patch
◆ Current state
TimescaleDB is on a steady point-release cadence, and the most recent build is a security release: 2.29.1 fixes three vulnerabilities with an accompanying advisory and a recommendation to upgrade promptly. The two feature-bearing releases in this window are both performance work on the compression layer. 2.29.0 added chunk exclusion for DML so UPDATE and DELETE acquire row exclusive locks only on the chunks they touch, and 2.28.0 made first() and last() read straight from columnstore batch metadata without decompressing batches.
◆ Where it's heading
Nearly all the engineering visible here targets the columnstore and the cost of working around it. The recurring theme is removing work rather than adding capability: skipping decompression for recency queries, skipping whole-hypertable locks for DML, and making continuous aggregate refreshes less disruptive. The patch releases in between are dominated by correctness fixes in the columnar execution pipeline and on compressed chunks, which is the maintenance cost of that same layer.
◆ Prediction
Compression and columnstore performance look set to remain the focus, since that is where both the features and the bug fixes concentrate. The immediate expectation is a follow-up patch release, as every minor in this window has drawn at least one.
Alternatives to Shynet 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 Shynet or TimescaleDB.
Power BI
Power BI's monthly grind: authoring defaults, DAX documentation, and cleaner axes.
BigQuery
BigQuery is making itself agent-callable and pulling inference inside the SQL boundary.
Plotly
The desktop app builder is pre-1.0, but Plotly Cloud quietly turned into a Dash hosting platform.
Lightdash
Lightdash is turning BI into an app platform its users' coding agents can build against.
Neo4j
Neo4j is wiring Aura for agents that query the graph directly, not for humans writing Cypher.
See all Shynet alternatives → · See all TimescaleDB alternatives →
Recent activity from Shynet and TimescaleDB
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoTimescaleDB2.29.1: security fixes plus compression bugfixes
- 6d agoTimescaleDB2.29.0: chunk exclusion speeds up UPDATE and DELETE
- 20d agoTimescaleDB2.28.3: columnar pipeline correctness fixes
- 1mo agoTimescaleDB2.28.2: upgrade-path fixes for 2.28.1
- 1mo agoTimescaleDB2.28.1: compressed-table crash and constraint fixes
- 1mo agoTimescaleDB2.28.0: first/last read from columnstore metadata
- 4mo agoShynetSecurity and dependency updates
- 3y agoShynetFix Cython/crypto build issues
- 3y agoShynetStability and performance improvements
- 4y agoShynetBug fixes and reliability improvements
- 5y agoShynetDashboard improvements, bug fixes, and upstream security improvements
- 5y agoShynetDeploy using GitHub actions
Frequently asked questions
What is the difference between Shynet 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 Shynet 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 Shynet?
Top Shynet alternatives in Analytics are ranked by recent ship velocity. Browse the "Shynet alternatives" section above for the current picks, or visit /alternatives/shynet 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.