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Comparison · Analytics
Keboola vs Omni
A side-by-side editorial comparison of Keboola and Omni — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:data-platformai-agentsmcp
Keboola vs Omni: at a glance
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.
What is Omni?
Omni's Apps reach general availability, completing its embedded analytics platform pitch.
Omni is operating on three fronts in parallel: a governed BI workspace for analysts, an AI agent layer including Omni Agent and AI Routines connected via MCP, and an embedded analytics platform for product teams. The AI semantic model generation hitting GA in July and embedded Apps hitting GA in August represent the two most significant capability milestones in recent months — both cross the line from preview to production-ready commitment.
Keboola vs Omni: editorial side-by-side
Keboola
7.5ANALYTICS
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.
Omni
6.3ANALYTICS
Omni's Apps reach general availability, completing its embedded analytics platform pitch.
◆ Current state
Omni is operating on three fronts in parallel: a governed BI workspace for analysts, an AI agent layer including Omni Agent and AI Routines connected via MCP, and an embedded analytics platform for product teams. The AI semantic model generation hitting GA in July and embedded Apps hitting GA in August represent the two most significant capability milestones in recent months — both cross the line from preview to production-ready commitment.
◆ Where it's heading
The product is converging on a stack that spans the full data workflow: governed modeling, AI-assisted analysis, agentic automation (Routines, MCP tools), and embedded delivery (Apps). Each surface is advancing simultaneously, which points to a deliberate platform strategy rather than feature prioritization. Omni is positioning the integrated stack — governed data with AI on top, deployable anywhere — as its competitive wedge against both traditional BI tools and AI-native data startups.
◆ Prediction
AI Routines and MCP tools will likely expand toward write operations or workflow triggers, moving from query-and-report toward agentic data operations. The embedded Apps surface will add white-labeling and more deep customization options as enterprise product teams push on it post-GA.
Alternatives to Keboola and Omni
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 Omni.
OpenHouse
OpenHouse breaks ground on Iceberg views while tightening storage lifecycle and authorization
Lightdash
Lightdash is cutting its dbt dependency and building AI-powered authoring into every layer of its BI stack.
Fulcrum
Fulcrum launches MCP + AI Toolkit in Labs, giving AI assistants the ability to build and query Fulcrum forms directly.
Holistics
Holistics is weaving AI governance and proactive alerting into its analytics semantic layer.
OpenCTI
OpenCTI ships FIPS-validated base images and a new vulnerability data model, targeting enterprise and government deployments.
See all Keboola alternatives → · See all Omni alternatives →
Recent activity from Keboola and Omni
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoKeboolaKai is Now Generally Available (Multi-Tenant, Contracted Customers) ⚡
- 1d agoOmniSkills API, Composite Topics API, and Undo/Redo Navigation
- 6d agoKeboolaMigrate Snowflake Workspaces from Password to Key Pair Auth
- 6d agoOmniApps Reach General Availability; Dashboard PNG Exports via MCP ⚡
- 14d agoOmniOmni Agent Dashboard Editing, AI Chat Memory, CLI v1.2
- 21d agoOmniEmbedded Apps Preview, Databricks Query Tagging, Forecasting Controls
- 22d agoKeboolaKeboola MCP: Log In Once, Work Across Every Project ⚡
- 27d agoKeboolaPython 3.10 Deprecation for Streamlit Apps (September 2026)
- 28d agoOmniDefault Filters on Composite Topics, Dashboard Query Stopping
- 1mo agoOmniFull-Screen Presentation Mode, searchDashboards MCP Tool
- 1mo agoKeboolaFlows: New Condition Operators and Run Selected Tasks
- 1mo agoKeboolaBranched Storage on BigQuery
Frequently asked questions
What is the difference between Keboola and Omni?
Both compete on the same themes — data-platform, ai-agents, 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 Omni?
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 Omni?
Top Omni alternatives in Analytics are ranked by recent ship velocity. Browse the "Omni alternatives" section above for the current picks, or visit /alternatives/omni for the full list with editorial commentary on each.