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Comparison · Analytics
Deequ vs PostHog
A side-by-side editorial comparison of Deequ and PostHog — release velocity, themes, recent moves, and the top alternatives to consider.
Deequ vs PostHog: at a glance
What is Deequ?
Deequ ships GitHub tags whose release notes are one commit message long
Deequ is a data quality library for Spark, and it releases per Spark version — tags carry a -spark-3.5 or -spark-4.0 suffix, so the same code line ships more than once. The release notes are whatever the last commit message said, which here means each entry is a single line. Four releases landed in a month between March and April 2026, and only two of them contain any product change: a Range analyzer with DQDL rule support, and a processRowsTyped API for typed outcome access.
What is PostHog?
PostHog is filling in Logs and the mobile SDKs while quietly growing a support product.
PostHog ships weekly, and this week's batch is spread across four teams rather than concentrated in one product. Logs gets attribute filtering and a React Native capture path; the iOS SDK gains rage-click detection and a session-replay duration floor; Conversations picks up GitHub issues as an inbound support channel. Individually these are small, and the weekly digest bundles them into a single roundup entry.
Deequ vs PostHog: editorial side-by-side
Deequ
0.0ANALYTICS
Deequ ships GitHub tags whose release notes are one commit message long
◆ Current state
Deequ is a data quality library for Spark, and it releases per Spark version — tags carry a -spark-3.5 or -spark-4.0 suffix, so the same code line ships more than once. The release notes are whatever the last commit message said, which here means each entry is a single line. Four releases landed in a month between March and April 2026, and only two of them contain any product change: a Range analyzer with DQDL rule support, and a processRowsTyped API for typed outcome access.
◆ Where it's heading
The visible work points in one direction — making check results programmatically consumable rather than just readable. A typed outcome API and a rule language binding are what you build when Deequ is being called from a pipeline that reacts to the result, not from a notebook where a human reads it. The column-pruning override added alongside the Range analyzer suggests the same attention on the cost side, keeping analyzers from scanning columns they do not reference.
◆ Prediction
The entries are too thin to support a confident read of what comes next; the only clear pattern is that each change will ship separately against Spark 3.5 and Spark 4.0, so the version skew between those branches will keep widening.
PostHog
0.0ANALYTICS
PostHog is filling in Logs and the mobile SDKs while quietly growing a support product.
◆ Current state
PostHog ships weekly, and this week's batch is spread across four teams rather than concentrated in one product. Logs gets attribute filtering and a React Native capture path; the iOS SDK gains rage-click detection and a session-replay duration floor; Conversations picks up GitHub issues as an inbound support channel. Individually these are small, and the weekly digest bundles them into a single roundup entry.
◆ Where it's heading
Two build-outs are running in parallel. The observability side — Logs plus the mobile SDKs — is being brought up to parity with what PostHog already offers on web, which is what makes the platform credible for mobile teams rather than web analytics with an SDK attached. The Conversations work is the more interesting thread: adding support channels moves PostHog past measuring users toward handling them, and it is being built out in the same incremental weekly rhythm as everything else.
◆ Prediction
Expect Logs and the mobile SDKs to keep receiving parity features on the weekly cadence, and expect Conversations to add further inbound channels beyond GitHub issues. The entries do not show whether Conversations is being positioned as a standalone product or a feature of the existing suite.
Alternatives to Deequ and PostHog
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 Deequ or PostHog.
Omni
Omni ships weekly, and almost every week the headline item is an AI feature
OpenDataDiscovery
Four ODD Platform releases in two weeks, and not one of them changes the product
Apache Baremaps
Baremaps got geoparquet and hillshading, then went quiet for eighteen months in incubation
Marquez
Marquez spent 2024 turning a lineage store into a UI, then stopped releasing
Amundsen
Amundsen's last release was a config flag, and the feed has been silent for two years
See all Deequ alternatives → · See all PostHog alternatives →
Recent activity from Deequ and PostHog
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 3mo agoPostHogWeekly roundup: Logs SQL editor, React Native log capture, iOS rage clicks
- 3mo agoPostHogGitHub issues as a support channel
- 3mo agoPostHogLog capture for React Native
- 3mo agoPostHogRage click support in the iOS SDK
- 3mo agoPostHogResend source for data warehouse
- 3mo agoPostHogAzure OpenAI support in LLM analytics
- 3mo agoDeequDeequ adds a processRowsTyped API for typed outcome access
- 3mo agoDeequDeequ 3.0.1 fixes the publish workflow branch
- 3mo agoDeequDeequ 3.0.0 adds a Range analyzer with DQDL rule support
- 4mo agoDeequDeequ 2.0.15 tag carries only a pom version bump
Frequently asked questions
What is the difference between Deequ and PostHog?
They serve adjacent needs but don't currently overlap on shipped themes. Deequ and PostHog are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is Deequ better than PostHog?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Deequ and PostHog are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to Deequ?
Top Deequ alternatives in Analytics are ranked by recent ship velocity. Browse the "Deequ alternatives" section above for the current picks, or visit /alternatives/deequ for the full list with editorial commentary on each.
What are the best alternatives to PostHog?
Top PostHog alternatives in Analytics are ranked by recent ship velocity. Browse the "PostHog alternatives" section above for the current picks, or visit /alternatives/posthog for the full list with editorial commentary on each.