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Comparison · Analytics

Tinybird vs Deepnote

Side-by-side trajectory, velocity, and editorial themes.

T
Tinybird
ANALYTICS
5.0

Tinybird's Forward platform matures through steady weekly connector, query, and ops upgrades.

◆ Current state

Tinybird is a managed real-time analytics platform built on ClickHouse, shipping on a tight weekly changelog cadence. The current focus is hardening its next-generation "Forward" architecture: lightweight deletes just entered beta, Tinybird Local now runs natively on arm64, and the engine moved from ClickHouse 25.3 to 25.8.

◆ Where it's heading

The throughline is migrating users off "Classic" onto Forward while widening the data-ingress and query surface — new connectors (DynamoDB, Kafka pause visibility), query features (PREWHERE, on-demand copy-job compute), and operational controls (workspace cluster selection, explicit flags for destructive schema changes, quarantine auto-cleanup). A migrate-to-forward CLI and vector search show the platform closing gaps to make Forward the default.

◆ Prediction

Expect continued weekly increments on Forward — more connectors, ClickHouse version tracking, and migration tooling — with lightweight deletes the likely candidate to graduate from beta toward general availability.

D
Deepnote
ANALYTICS
6.3

Deepnote reshapes the data notebook into agent-operable infrastructure.

◆ Current state

Deepnote, a collaborative data-science notebook, is steadily making itself agent-native: MCP tools now let AI agents create and wire integrations end-to-end, and OpenAI's Codex connects natively to a Deepnote workspace's notebooks, schedules, and data. Underneath, it keeps shipping solid workflow features — run snapshots, Git and GitLab sync, Polars, PDF export.

◆ Where it's heading

Two tracks are converging: reproducibility and engineering rigor (immutable run snapshots, Git sync, notebook interoperability) and agent-operability (MCP tools, Codex context). Deepnote is positioning the workspace as the trusted context layer that AI agents act through, not just a place humans write notebooks.

◆ Prediction

Expect more MCP tooling that lets agents operate Deepnote projects autonomously, plus deeper native hooks for external coding agents — the workspace-as-agent-context bet will likely expand beyond Codex.

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