Lightup Data Observability
Lightup Data Observability: Lightup combines profiling, reconciliation, and AI anomaly checks for data teams. Ranked #23 of 39 in Data Observability Tools by our editors (7.0/10); pricing: Pricing on request; best for teams wanting profiling and reconciliation.
At a glance
- Editor score7.0 / 10
- PricingPricing on request
- Best forTeams wanting profiling and reconciliation
- Free planNo
- Facts checked4 Oct 2026
Where it wins
- Zero-configuration profiling with automated metrics
- Rule-based and AI anomaly detection with SQL checks
- Table reconciliation and failing-record summaries
Where it doesn't
- Pricing requires contacting sales
- Cloud plan support is community-based
- Hybrid deployment is provided as an on-prem managed service
Our verdict on Lightup Data Observability
Lightup Data Observability monitors structured and unstructured data used in analytics and AI workloads. It is aimed at mid-market and enterprise data teams that need automated checks for data volume, activity, update delays, quality rules, and anomalies. Teams can define checks through a no-code rule builder or custom SQL, review incidents and failing records, and revalidate issues after remediation. Deployment options include cloud and a hybrid model with the data plane in the customer’s environment.
Lightup uses contact-sales pricing and offers Cloud and Enterprise plans. Cloud provides cloud deployment, data quality indicators, rule-based and AI-based anomaly detection, community support, and a sandbox or free trial. Enterprise adds cloud or hybrid deployment, custom scale, and custom support. The product connects alerts and workflows with Slack, email, Microsoft Teams, Jira, PagerDuty, ServiceNow, and Opsgenie, while catalog integrations include Alation, Atlan, and Collibra. A REST API and Python SDK support programmatic access.
Its strongest depth is in profiling and investigation: zero-configuration auto metrics, metadata checks, SQL and rule-based quality checks, AI anomaly detection on monitored metrics, table comparison and reconciliation, incident management, reporting, and summaries of failing records. The documented data sources are Databricks, Snowflake, Redshift, BigQuery, Postgres, and Athena. Lightup suits teams that prioritize profiling, reconciliation, and incident workflows across cloud or managed hybrid deployments. Organizations needing a broader source footprint or a fully self-managed hybrid environment should evaluate alternatives.
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Lightup Data Observability pricing
All 2 Lightup Data Observability plans and prices →
Lightup Data Observability fact sheet
| Free plan | No |
|---|---|
| Paid from | Not verified |
| Pipeline monitoring | Not verified |
| Freshness monitoring | Yes |
| Schema change detection | Not verified |
| Anomaly detection | Not verified |
| Data lineage | Not verified |
| Deployment | Not verified |
| Deployment | Cloud, Self-hosted |
| Platforms | Web |
| Support | Community, Email, Docs |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 10 integrations: Slack, Email, Microsoft Teams, Jira, PagerDuty, ServiceNow … |
| Pricing | Pricing on request (source) |
| Website | lightup.ai |
| Facts checked | 4 Oct 2026 |
Lightup Data Observability integrations
Lightup Data Observability lists 10 integrations on its own site.
- Slack
- Microsoft Teams
- Jira
- PagerDuty
- ServiceNow
- Opsgenie
- Alation
- Atlan
- Collibra
Alternatives to Lightup Data Observability
- Datadog Data ObservabilityA Datadog-native view of data quality, lineage, pipeline jobs, and costs.9.3
- IBM Data Observability by DatabandPipeline-focused observability with lineage, quality alerts, and Airflow integrations.9.1
- Actian Data ObservabilityWarehouse-native monitoring with custom SQL metrics, incident history, and lineage.9.0
See all Lightup Data Observability alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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