Anomalo
An AI-powered data quality platform that autonomously monitors, investigates, and resolves data issues without manual effort
- Also known as
- anomalo
Available worldwide · Popular in: US, GB
What is Anomalo?
Anomalo uses AI agents to continuously monitor data for quality issues, automatically investigate root causes, and take action through existing workflows. It detects anomalies in data freshness, volume, and schema, eliminating the need for manual data quality rules or constant human oversight.
Anomalo pricing
We don't have Anomalo's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.
What Anomalo does
The capabilities that matter for data observability, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Freshness monitoring
- ✓
- Volume monitoring
- ✓
- Schema change detection
- ✓
- Data quality rules
- ✓
- ML anomaly detection
- ✓
- Lineage impact analysis
- ✓
- Root cause analysis
- ✓
- Incident management workflow
- ✓
- Dbt native
- ✗
- Streaming support
- ✗
- Deployment model
- Managed SaaS
- Open source
- ✗
- Pricing model
- Contact sales
Platform & deployment
Independently observed- Web
- Cloud / SaaS
Integrations (8)
Independently observed- Opsgenie
- ServiceNow
- JIRA
- Slack
- Notion
- Microsoft Teams
- Databricks
- Snowflake
Anomalo alternatives
Other data observability we track, ranked by the same independent score.
- BigeyeEnterprise platform for real-time data quality monitoring and AI governancelow · 3%
- DatafoldAn AI-powered platform that automates data migration, modernization, and validation for data engineering teamslow · 29%
- ElementaryA unified platform that combines data quality monitoring, lineage tracking, governance enforcement, and metadata discovery with AI-powered automationlow · 42%
- SodaAI-powered data quality monitoring and anomaly detectionlow · 8%
- Great ExpectationsA validation and monitoring system that helps organizations maintain confidence in their data through automated testing and quality trackinglow · 26%
- AcceldataAI-powered platform for autonomous data management and governance across hybrid cloud environmentslow · 47%
Compare Anomalo
Side by side against other data observability, attribute by attribute, with a source on every value.
The Vioscale score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Anomalo, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Capabilities | 92 | 0.05 | 4.5 | ✓ |
| Security posture | 55 | 0.07 | 4.0 | ✓ |
| Integrations | 27 | 0.04 | 1.1 | ✓ |
| Price level | 0 | 0.05 | 0.0 | - |
| Reliability | 0 | 0.07 | 0.0 | - |
| Pricing transparency | 0 | 0.08 | 0.0 | ✓ |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Dbt native: No · Open source: No · Pricing model: contact-sales · Deployment model: managed-SaaS · Streaming support: No · Volume monitoring: Yes | mediumsource · 2026-08-25 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 8 | mediumsource · 2026-08-25 · 60% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-08-25 · 75% |