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 ThingsBoard and Keboola — release velocity, themes, recent moves, and the top alternatives to consider.
ThingsBoard patches aggressively across two release lines while quietly adding IoT Hub and AI model support.
ThingsBoard is in sustained patch mode across 4.2.x (LTS) and 4.3.x (current), resolving dozens of CVEs per release cycle. Beneath the security churn, the 4.3.x line has accumulated real additions since spring: IoT Hub integration, AI model structured output support for multiple providers, LZ4 Kafka compression, automatic SSL cert reload without restarts, and an HTML container widget. The dual-track model shows an enterprise customer base that demands long-term stability alongside continuous development.
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.
ThingsBoard is in sustained patch mode across 4.2.x (LTS) and 4.3.x (current), resolving dozens of CVEs per release cycle. Beneath the security churn, the 4.3.x line has accumulated real additions since spring: IoT Hub integration, AI model structured output support for multiple providers, LZ4 Kafka compression, automatic SSL cert reload without restarts, and an HTML container widget. The dual-track model shows an enterprise customer base that demands long-term stability alongside continuous development.
The parallel LTS and current release trains signal a maturing platform with paying enterprise customers who cannot absorb breaking changes. The AI model integration thread — structured outputs, Vertex AI location routing — suggests ThingsBoard is building a rule-engine layer that can route telemetry decisions through LLMs, not just static rules. This points toward an edge-to-AI data fabric positioning rather than dashboarding alone.
The next substantive release will likely deepen the AI rule-engine integration with more providers or an agent-style action node. The IoT Hub connector introduced in 4.3.1.3 will likely be backported to 4.2.x once stabilized. Security patch cadence will continue regardless.
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.
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 ThingsBoard or Keboola.
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 ThingsBoard alternatives → · See all Keboola 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 5.0), 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 5.0), 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 ThingsBoard alternatives in Analytics are ranked by recent ship velocity. Browse the "ThingsBoard alternatives" section above for the current picks, or visit /alternatives/thingsboard for the full list with editorial commentary on each.
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.