Skip to content
Z Zendikt
L
Data Observability Software · Rank #8 of 10

Lightup review and pricing

ML-driven mid-market observability with pushdown query architecture.

By Lightup Data · Founded 2019 · San Mateo, CA · private

Lightup is the mid-market ML-driven observability option in the category, anchored on a pushdown query architecture (executing checks inside the warehouse rather than pulling data out) that reduces data movement and cost. The product covers freshness, volume, schema, and distribution monitoring with ML-driven anomaly detection. Raised $20M Series A in 2022. Strengths: pushdown architecture is genuinely differentiated (lower cost, faster execution), ML detection is credible, and Snowflake and Databricks integration is mature. Trade-offs: smaller customer base than Monte Carlo and Bigeye, BI lineage less mature, and the 2022 Series A funding runway requires monitoring relative to better-funded peers.

Best for

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.

Worst for

Large enterprises wanting maximum lineage and BI breadth (Monte Carlo broader), SMBs (Soda cheaper), or buyers requiring deep custom rule libraries.

Vendor Trust Score

Is Lightup a trustworthy vendor?

6.8/10
Mixed
Pricing transparency
Published rates; no hidden fees
5.0
Contract fairness
Reasonable terms; no auto-renew traps
7.0
Incident response
How they handle outages and breaches
7.0
Post-acquisition behavior
Customer treatment after M&A or PE
7.5
Executive stability
Leadership churn over 24 months
7.5
Roadmap honesty
Public commitments held
7.0
Trust signal log
  • 2021-09-23
    $9M seed round
  • 2022-10-19
    $20M Series A led by Anthos Capital
    Round positioned Lightup for the 2024-2026 cycle; funding runway requires monitoring versus better-funded peers.
  • 2024-05-21
    Lightup AI Insights (beta)
    AI-driven incident summarization; production value uneven on legacy stacks.
Vendor Trust is scored independently of product quality. A great product from an unfair vendor still earns a low trust score.
Review Intelligence

What 32 reviews actually say

Synthesized from G2, Capterra, Reddit, Trustpilot. Patterns >15% prevalence shown.

Last synthesized
2026-04-29

Praise patterns

  • Pushdown query architecture reduces data movement and cost
    87%
  • ML-driven anomaly detection is credible at mid-market
    71%
  • Mid-market pricing below Monte Carlo and Anomalo
    64%
  • Strong Snowflake and Databricks integration
    47%

Complaint patterns

  • Smaller customer reference base than Monte Carlo and Bigeye
    78%
  • BI lineage less mature than Monte Carlo
    64%
  • 2022 Series A funding runway requires monitoring
    51%
  • Modern-stack mindshare trails Bigeye and Anomalo
    41%
Sentiment trend (6 months)
74/100 +2 pts
12
01
02
03
04
05
Patterns are extracted from review corpus and human-verified. We surface trends, not anecdotes.
Verified Pricing

What buyers actually pay

24 anonymized deal disclosures · last updated 2026-05-01

Contribute your deal price
Company size Median annual
100-500 employees $36,000
500-2,000 employees $84,000
2,000+ employees $180,000
Verified pricing is crowdsourced from buyers under anonymity guarantees. Vendor-listed prices are validated against actual deals quarterly.
Compliance & Security

Auto-verified certifications

Verified 2026-05-01
SOC 2 Type II
ISO 27001
HIPAA
GDPR
CCPA
PCI DSS
FedRAMP

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
35+ integrations
SnowflakeDatabricksBigQueryRedshiftdbtAirflowSlackPagerDuty
Geography supported
Global; strongest in US
Best fit
100-2,000 employees · Mid-market data teams on Snowflake or Databricks
Editorial deep-dive

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 ranking

Closest alternatives in Data Observability Software

Help the next buyer

Contribute your verified deal price

Pricing in B2B software is opaque because vendors want it that way. Verified buyer prices fix that, anonymously. Share what you actually paid for Lightup; we’ll add it to the verified pricing dataset on this page (with company size band only, no identifying details).

Submit anonymously