Fulcrum
Fulcrum ships MCP server and AI Toolkit to let AI assistants build and query field data forms
A side-by-side editorial comparison of Keboola and Simple Analytics — release velocity, themes, recent moves, and the top alternatives to consider.
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.
Privacy analytics tightening its API and moving IP blocking off the CDN
The feed stores each change several times — once with the body text captured as the title, once as a clean headline, sometimes a third time with a date prefix. Behind the duplication, three real changes: API v6 with proper interval support while v5 stays unchanged for compatibility, IP blocking moved off the bunny.net CDN so it works on custom domains and applies per site rather than account-wide, and Events Explorer readability work with column truncation, a full-width toggle and collapsible headers.
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.
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.
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.
The feed stores each change several times — once with the body text captured as the title, once as a clean headline, sometimes a third time with a date prefix. Behind the duplication, three real changes: API v6 with proper interval support while v5 stays unchanged for compatibility, IP blocking moved off the bunny.net CDN so it works on custom domains and applies per site rather than account-wide, and Events Explorer readability work with column truncation, a full-width toggle and collapsible headers.
The work is about removing borrowed constraints. IP blocking inherited the CDN's limits and blast radius; moving it in-house made it per-site and custom-domain compatible. API v6 does the same for time handling — hourly data separates day and hour, weeks and months carry explicit start dates — while keeping v5 stable so nobody is forced to migrate. Both are the moves of a product whose users integrate it and stay.
With v6 shipped alongside an unchanged v5, expect a deprecation timeline for v5 to be the next API announcement, though the entries do not name one.
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 Simple Analytics.
Fulcrum ships MCP server and AI Toolkit to let AI assistants build and query field data forms
Holistics builds AI governance and docs-as-analytics in parallel, shipping both weekly
dbt 2.0 enters final RC with beta Snowflake interactive_table materialization and full ClickHouse MV support.
OpenHouse breaks ground on Iceberg views while tightening storage lifecycle and authorization
Lightdash is cutting its dbt dependency and building AI-powered authoring into every layer of its BI stack.
Omni's Apps reach general availability, completing its embedded analytics platform pitch.
See all Keboola alternatives → · See all Simple Analytics alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Keboola is currently shipping more aggressively (velocity 7.5 vs 0.0), with 2 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Keboola is currently shipping more aggressively (velocity 7.5 vs 0.0), with 2 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
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.
Top Simple Analytics alternatives in Analytics are ranked by recent ship velocity. Browse the "Simple Analytics alternatives" section above for the current picks, or visit /alternatives/simple-analytics for the full list with editorial commentary on each.