Buyer's guide

Best Data Observability software for Startup (1-50)

3 data observability tools that fit Startup (1-50), ranked. Compare fit and pricing, or start from the full data observability guide.

3 matching toolsStartup (1-50)

We feature a ranked guide for this segment once at least 8 matching tools have complete profiles. For now, see the broader best data observability software list.

1
Axiom
Log Management
Axiom is a log management and observability platform offering unlimited data ingest, fast querying, and real-time dashboards at a fraction of the cost of traditional log analytics tools.
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2
Dagster
Data Observability
Dagster is an open-source data orchestration platform for building, testing, and maintaining data pipelines with integrated lineage, observability, and asset-based workflows.
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3
Metaplane
Data Observability
Metaplane provides ML-based data observability with automated anomaly detection and lineage tracking, now part of Datadog's broader observability suite.
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4
Galileo
Data Quality
ML data intelligence platform for finding and fixing data errors to improve model quality and reduce costs.
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5
Orchestra
Data Pipeline Orchestration
Modern data orchestration platform combining lineage, alerting, and pipeline management in a single control plane.
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6
Superwise
AI Observability
ML observability platform for monitoring model performance and data integrity with customizable metrics.
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7
Lenses.io
Data Pipeline Orchestration
Data operations platform for Apache Kafka with workflow automation for data pipeline management and monitoring.
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Frequently asked

What is the best data observability software for Startup (1-50)?

The list above ranks 3 data observability tools that fit Startup (1-50), ordered so the most complete, vendor-maintained profiles surface first. Open any profile for pricing and fit detail.