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Comparison · Analytics

Keboola vs OpenMetadata

A side-by-side editorial comparison of Keboola and OpenMetadata — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:mcp

Keboola vs OpenMetadata: at a glance

FeatureKeboolaOpenMetadata
SectorAnalyticsAnalytics
Velocity score7.56.3
Sparks · 30d21
Top themesdata-platform, ai-agents, mcp, etldata-catalog, data-quality, metadata, observability
Last editorial update10h ago10d ago
WebsiteVisit →Visit →

What is Keboola?

Keboola's Kai AI assistant hits GA, completing the pivot from data platform to AI-native pipeline orchestration layer.

Keboola's Kai AI assistant is now generally available for multi-tenant contracted customers, marking the formal transition from experimental feature to production-ready product. The platform is simultaneously navigating Snowflake's forced password authentication deprecation — a platform-level forcing function requiring customer migrations before September 7. Recent work also includes the MCP server gaining unified cross-project authentication, which enables AI coding assistants to act as first-class operators across a full Keboola stack.

Read the full Keboola trajectory →

What is OpenMetadata?

OpenMetadata 2.0.0 ships Dynamic Sampling by default and a full Data Quality overhaul.

OpenMetadata has shipped its 2.0.0 GA alongside continued 1.13.x maintenance. The headline change in 2.0.0 is defaulting to Dynamic Sampling in the Profiler — 100% table scans are out, which meaningfully reduces compute cost on large tables. Cardinality metrics are no longer collected by default. MCP is now a first-class service entity with OAuth, SAML SSO, and usage analytics. The 1.13.x branch remains active for teams not yet migrating.

Read the full OpenMetadata trajectory →

Keboola vs OpenMetadata: editorial side-by-side

K
Keboola
ANALYTICS
7.5

Keboola's Kai AI assistant hits GA, completing the pivot from data platform to AI-native pipeline orchestration layer.

◆ Current state

Keboola's Kai AI assistant is now generally available for multi-tenant contracted customers, marking the formal transition from experimental feature to production-ready product. The platform is simultaneously navigating Snowflake's forced password authentication deprecation — a platform-level forcing function requiring customer migrations before September 7. Recent work also includes the MCP server gaining unified cross-project authentication, which enables AI coding assistants to act as first-class operators across a full Keboola stack.

◆ Where it's heading

Keboola is building toward a model where AI agents can autonomously manage the data pipeline lifecycle. The MCP server's unified auth is a signal: the target is a world where a developer's coding assistant can browse, create, and modify Keboola pipelines without a human navigating the UI. Kai GA and the MCP expansion are the same thesis from two directions — AI as interface, not AI as feature. Branched storage expansion to BigQuery and Flows improvements in the background are the operational stability layer those agents will depend on.

◆ Prediction

Kai gaining the ability to create and modify Flows, and the MCP server expanding its coverage to transformation and workspace management, are the two most visible next moves. The Branched Storage on BigQuery release is a prerequisite for Branches 2.0 approval workflows, which would give Kai a way to propose and commit pipeline changes with human review gates.

O
OpenMetadata
ANALYTICS
6.3

OpenMetadata 2.0.0 ships Dynamic Sampling by default and a full Data Quality overhaul.

◆ Current state

OpenMetadata has shipped its 2.0.0 GA alongside continued 1.13.x maintenance. The headline change in 2.0.0 is defaulting to Dynamic Sampling in the Profiler — 100% table scans are out, which meaningfully reduces compute cost on large tables. Cardinality metrics are no longer collected by default. MCP is now a first-class service entity with OAuth, SAML SSO, and usage analytics. The 1.13.x branch remains active for teams not yet migrating.

◆ Where it's heading

OpenMetadata 2.0.0 shifts the platform toward cost-aware data quality by default — this is a philosophical change, not just a feature: the assumption is no longer that you scan everything. MCP as a first-class service category signals intent to be the metadata and observability layer for AI pipelines, not just traditional BI/warehouse workflows.

◆ Prediction

Post-2.0.0 development will focus on the MCP service layer and AI pipeline observability. Expect deeper integration between the Profiler's Dynamic Sampling and cost estimation, and broader MCP adapter coverage. The 1.13.x branch will likely enter long-term-support status within one or two more maintenance releases.

Alternatives to Keboola and OpenMetadata

Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Keboola or OpenMetadata.

See all Keboola alternatives → · See all OpenMetadata alternatives →

Recent activity from Keboola and OpenMetadata

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 20h agoKeboolaKai is Now Generally Available (Multi-Tenant, Contracted Customers)
  2. 5d agoKeboolaMigrate Snowflake Workspaces from Password to Key Pair Auth
  3. 12d agoOpenMetadataOpenMetadata 1.13.5: Connector and Security Maintenance
  4. 13d agoOpenMetadataOpenMetadata 2.0.1: Post-GA Maintenance
  5. 21d agoKeboolaKeboola MCP: Log In Once, Work Across Every Project
  6. 22d agoOpenMetadata2.0.0-release
  7. 22d agoOpenMetadataOpenMetadata 1.13.4: Connector and Security Maintenance
  8. 26d agoKeboolaPython 3.10 Deprecation for Streamlit Apps (September 2026)
  9. 1mo agoOpenMetadataOpenMetadata 2.0.0 RC2 (Dev/Test Only)
  10. 1mo agoKeboolaFlows: New Condition Operators and Run Selected Tasks
  11. 1mo agoKeboolaBranched Storage on BigQuery
  12. 1mo agoOpenMetadataOpenMetadata 1.13.3: Governance and Connector Fixes

Frequently asked questions

What is the difference between Keboola and OpenMetadata?

Both compete on the same themes — mcp — within Analytics. Keboola is currently shipping more aggressively (velocity 7.5 vs 6.3), with 2 editorial sparks in the last 30 days against 1. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is Keboola better than OpenMetadata?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Keboola is currently shipping more aggressively (velocity 7.5 vs 6.3), with 2 editorial sparks in the last 30 days against 1. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to Keboola?

Top Keboola alternatives in Analytics are ranked by recent ship velocity. Browse the "Keboola alternatives" section above for the current picks, or visit /alternatives/keboola for the full list with editorial commentary on each.

What are the best alternatives to OpenMetadata?

Top OpenMetadata alternatives in Analytics are ranked by recent ship velocity. Browse the "OpenMetadata alternatives" section above for the current picks, or visit /alternatives/openmetadata for the full list with editorial commentary on each.