Mid-market data teams (100-2,000 employees) on Snowflake or Databricks who value pushdown architecture (lower data movement cost) and ML-driven detection at mid-market pricing.
Large enterprises wanting maximum lineage and BI breadth (Monte Carlo broader), SMBs (Soda cheaper), or buyers requiring deep custom rule libraries.
Is Lightup a trustworthy vendor?
- 2021-09-23$9M seed round
- 2022-10-19$20M Series A led by Anthos CapitalRound positioned Lightup for the 2024-2026 cycle; funding runway requires monitoring versus better-funded peers.
- 2024-05-21Lightup AI Insights (beta)AI-driven incident summarization; production value uneven on legacy stacks.
What 32 reviews actually say
Synthesized from G2, Capterra, Reddit, Trustpilot. Patterns >15% prevalence shown.
Praise patterns
- Pushdown query architecture reduces data movement and cost87% →
- ML-driven anomaly detection is credible at mid-market71% →
- Mid-market pricing below Monte Carlo and Anomalo64% →
- Strong Snowflake and Databricks integration47% →
Complaint patterns
- Smaller customer reference base than Monte Carlo and Bigeye78% →
- BI lineage less mature than Monte Carlo64% ↓
- 2022 Series A funding runway requires monitoring51% ↑
- Modern-stack mindshare trails Bigeye and Anomalo41% →
What buyers actually pay
24 anonymized deal disclosures · last updated 2026-05-01
| Company size | Median annual |
|---|---|
| 100-500 employees | $36,000 |
| 500-2,000 employees | $84,000 |
| 2,000+ employees | $180,000 |
Auto-verified certifications
Editorial: Strengths
- Pushdown query architecture (checks inside warehouse, lower cost)
- ML-driven anomaly detection is credible
- Strong Snowflake and Databricks integration
- Slack and PagerDuty incident routing
- Faster query execution than data-pull peers on large tables
- Mid-market pricing typically below Monte Carlo and Anomalo
Editorial: Weaknesses
- Smaller customer reference base than Monte Carlo and Bigeye
- BI lineage less mature than Monte Carlo
- 2022 Series A funding runway requires monitoring
- Modern-stack mindshare trails Bigeye and Anomalo
- Pricing opaque; no published guidance
Key features & integrations
- +Pushdown query architecture (checks inside warehouse)
- +ML-driven anomaly detection
- +Freshness, volume, schema, distribution monitoring
- +Snowflake and Databricks deep integration
- +Slack and PagerDuty incident routing
- +Custom SQL rules
- +Lineage across warehouse and dbt
- +API and webhook integrations
Read our full ranking of Data Observability Software
Lightup ranks #8 in our editorial review of 10 data observability software platforms. The deep-dive covers methodology, comparison tables, decision matrix, migration scoring, and FAQs.
Read the full rankingClosest alternatives in Data Observability Software
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