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Comparison · Analytics

Amplitude vs Deequ

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

Amplitude vs Deequ: at a glance

FeatureAmplitudeDeequ
SectorAnalytics, Infra & APIsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesagentic analytics, mcp, ai visibility, session replaydata-quality, spark, dqdl, jvm-library
Last editorial update3mo ago11h ago
WebsiteVisit →Visit →

What is Amplitude?

Amplitude shipped AI Visibility 2.0 with MCP, agentic onboarding, and a new Premium plan tier.

April's release wave is dominated by an AI Visibility 2.0 expansion (sentiment, recommendations, event data, MCP support, and a new Premium plan tier) and a Wizard CLI for agentic onboarding. Around it, Amplitude added Session Replay capabilities (page-level URL masking, replay insights, bookmarkable replays, sentiment filter), a Global Agent chat sidebar that opens by default, and AI-feedback plumbing (ingestion API, AI Assistant chats fed into feedback). The captured feed includes three near-duplicate March-31 capture variants of the same April digest, plus older monthly digests back to August.

Read the full Amplitude trajectory →

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.

Read the full Deequ trajectory →

Amplitude vs Deequ: editorial side-by-side

Amplitude logo
Amplitude
ANALYTICSINFRA · APIS
0.0

Amplitude shipped AI Visibility 2.0 with MCP, agentic onboarding, and a new Premium plan tier.

◆ Current state

April's release wave is dominated by an AI Visibility 2.0 expansion (sentiment, recommendations, event data, MCP support, and a new Premium plan tier) and a Wizard CLI for agentic onboarding. Around it, Amplitude added Session Replay capabilities (page-level URL masking, replay insights, bookmarkable replays, sentiment filter), a Global Agent chat sidebar that opens by default, and AI-feedback plumbing (ingestion API, AI Assistant chats fed into feedback). The captured feed includes three near-duplicate March-31 capture variants of the same April digest, plus older monthly digests back to August.

◆ Where it's heading

The compounding theme across six months: Amplitude is becoming an agentic analytics platform — Chart Chat in September, Amplitude MCP launched in October, Dashboard Agent in February, External MCP Tools in January, Global Agent and now AI Visibility 2.0 with MCP in April. The Premium plan tier introduced with AI Visibility 2.0 is the monetization step that signals AI is being treated as a separate revenue line, not a free upgrade. Session Replay is on a parallel track maturing into a serious enterprise feature.

◆ Prediction

Watch for the Wizard CLI to evolve into a fuller programmable agentic onboarding flow — likely tied into Amplitude's CDP and customer-data layer. The Premium plan tier will likely accumulate AI-only features (advanced sentiment, agent compute), turning the AI suite into a clean upsell from the analytics base.

D
Deequ
ANALYTICS
0.0

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.

Alternatives to Amplitude and Deequ

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 Amplitude or Deequ.

See all Amplitude alternatives → · See all Deequ alternatives →

Recent activity from Amplitude and Deequ

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

  1. 3mo agoDeequDeequ adds a processRowsTyped API for typed outcome access
  2. 3mo agoDeequDeequ 3.0.1 fixes the publish workflow branch
  3. 3mo agoDeequDeequ 3.0.0 adds a Range analyzer with DQDL rule support
  4. 4mo agoAmplitudeApril digest (variant capture): Global Agent UX + Session Replay URL masking
  5. 4mo agoAmplitude🤖AI Visibility 2.0: Sentiment, Recommendations, Event Data, MCP & Premium planApr 29AI📹Heatmaps ImprovementsApr 29Session Replay💾Data…
  6. 4mo agoAmplitudeApril digest (variant capture): Wizard CLI + data/activation items
  7. 4mo agoDeequDeequ 2.0.15 tag carries only a pom version bump
  8. 5mo agoAmplitudeMarch digest: SDK unification, source ingestion, classifier templates
  9. 6mo agoAmplitudeFebruary digest: agent editing tools, Shareable Agents, Experiment Proxy 1.0
  10. 7mo agoAmplitudeJanuary digest: API Key GA, External MCP Tools, multi-question surveys

Frequently asked questions

What is the difference between Amplitude and Deequ?

They serve adjacent needs but don't currently overlap on shipped themes. Amplitude and Deequ 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 Amplitude better than Deequ?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Amplitude and Deequ 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 Amplitude?

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

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.