Polars
A deprecation sweep and hive-partition join rewrites, shipped on two trains at once.
Comparison · Analytics
Lightdash vs Feedly
A side-by-side editorial comparison of Lightdash and Feedly — release velocity, themes, recent moves, and the top alternatives to consider.
Lightdash vs Feedly: at a glance
| Feature | Lightdash | Feedly |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 8.8 | 5.0 |
| Sparks · 30d | 2 | 0 |
| Top themes | bi, data-apps, agent-native, mcp | threat-intelligence, ai-agents, vulnerability-management, detection-rules |
| Last editorial update | 1d ago | 13h ago |
| Website | — | — |
What is Lightdash?
Lightdash is turning BI into an app platform its users' coding agents can build against.
Lightdash's centre of gravity has moved from charts to Data Apps. In the last month apps gained the ability to call third-party HTTP APIs through a credential-injecting proxy, a generator that builds reusable chart types from a prompt, query-inspection tooling, and now a local workflow: scaffold an app with the CLI, iterate on it in your own IDE against live data, and upload the source for Lightdash to build on your instance. Around that, content as code expanded to cover dashboards, permissions, AI agents, automations and org roles, and verified content was unified with AI agents so the MCP serves one trusted source.
What is Feedly?
Feedly's reader roots recede as threat-intel agents take over the changelog
Feedly's changelog is now almost entirely a cyber threat intelligence product log. The last three months added models tuned for insider threats and threat actor campaigns, Suricata rule extraction, SPL queries alongside KQL, GreyNoise and VirusTotal enrichment, and a Vulnerability Agent. The August release extends Custom Intel Agents with Analyze and Research actions and adds a Censys lookup to IP cards.
Lightdash vs Feedly: editorial side-by-side
Lightdash
8.8ANALYTICS
Lightdash is turning BI into an app platform its users' coding agents can build against.
◆ Current state
Lightdash's centre of gravity has moved from charts to Data Apps. In the last month apps gained the ability to call third-party HTTP APIs through a credential-injecting proxy, a generator that builds reusable chart types from a prompt, query-inspection tooling, and now a local workflow: scaffold an app with the CLI, iterate on it in your own IDE against live data, and upload the source for Lightdash to build on your instance. Around that, content as code expanded to cover dashboards, permissions, AI agents, automations and org roles, and verified content was unified with AI agents so the MCP serves one trusted source.
◆ Where it's heading
Two threads are converging. One makes the semantic layer legible to agents - verified content and AI-verified answers share a single source of truth that the Lightdash MCP and outside assistants read from. The other makes the platform something agents can write to, with apps scaffolded locally, built by whatever coding agent the developer prefers, then shipped into a governed instance. The governance framing is carrying real weight in both, since the pitch is that data and metrics stay controlled while authoring moves outside the product.
◆ Prediction
Expect the local app workflow and content as code to fuse, so agent-driven changes to dashboards, permissions and apps arrive as pull requests against a Lightdash instance. The pieces are shipped; what these entries do not settle is how agent-authored apps get reviewed or approved before viewers see them.
Feedly
5.0ANALYTICS
Feedly's reader roots recede as threat-intel agents take over the changelog
◆ Current state
Feedly's changelog is now almost entirely a cyber threat intelligence product log. The last three months added models tuned for insider threats and threat actor campaigns, Suricata rule extraction, SPL queries alongside KQL, GreyNoise and VirusTotal enrichment, and a Vulnerability Agent. The August release extends Custom Intel Agents with Analyze and Research actions and adds a Censys lookup to IP cards.
◆ Where it's heading
The arc runs from retrieval toward analysis: earlier releases broadened what Feedly could collect, recent ones give analysts agents that reason over it and emit artifacts their existing tools accept. Report Builder citations that trace a claim to its source passage target the trust problem gating generated intelligence in a SOC. Coverage has become table stakes; the contest is over whether analysts accept the machine's conclusions.
◆ Prediction
Expect the agent surface to keep gaining verbs rather than new data sources, with more export formats aimed at the SIEM and detection tooling analysts already run.
Alternatives to Lightdash and Feedly
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 Lightdash or Feedly.
Pinpoint
ServerMap rebuilt and application names finally long enough to describe a service.
Apache SeaTunnel
SeaTunnel can finally split one large file across readers — and hasn't shipped since March.
Parseable
Parseable is bolting real auth onto a log store — API keys, dataset permissions, Kafka IAM.
ntopng
ntopng grew from traffic monitor into asset inventory and vulnerability scanner — one major at a time
Apache SkyWalking
SkyWalking is rebuilding its own foundations — its own database, its own runtime, and now GenAI traces
See all Lightdash alternatives → · See all Feedly alternatives →
Recent activity from Lightdash and Feedly
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoFeedlyCustom Intel Agents gain Analyze and Research actions
- 2d agoLightdash🤖 Build data apps locally with your favorite agent ⚡
- 6d agoLightdash📦 More content as code
- 6d agoLightdashSQL Runner: Big Number
- 10d agoLightdash🎯 Ask for one filter, not every filter
- 15d agoFeedlyHunt threat actor campaigns and run SPL queries alongside KQL
- 24d agoLightdash🌍 Timezones that just work
- 28d agoLightdash🔌 Data apps can now talk to APIs ⚡
- 29d agoFeedlyFaster exploit triage, smarter Org Profiles, and more transparency across your Report Builder
- 1mo agoFeedlySuricata detection rules, Ask AI Research Playground, and more
- 1mo agoFeedlyTrack exploit types, Oracle and Atlassian advisories, and more
- 2mo agoFeedlySmarter insider threat detection, broader search coverage, and more
Frequently asked questions
What is the difference between Lightdash and Feedly?
They serve adjacent needs but don't currently overlap on shipped themes. Lightdash is currently shipping more aggressively (velocity 8.8 vs 5.0), with 2 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 Lightdash better than Feedly?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Lightdash is currently shipping more aggressively (velocity 8.8 vs 5.0), with 2 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 Lightdash?
Top Lightdash alternatives in Analytics are ranked by recent ship velocity. Browse the "Lightdash alternatives" section above for the current picks, or visit /alternatives/lightdash for the full list with editorial commentary on each.
What are the best alternatives to Feedly?
Top Feedly alternatives in Analytics are ranked by recent ship velocity. Browse the "Feedly alternatives" section above for the current picks, or visit /alternatives/feedly for the full list with editorial commentary on each.