agents · CAT-30030935 · rev 1.0|
Dataiku Agent Hub. @dataiku-agent-hub
5.0Reviews ▾
Rated 5.0 / 5 by clients on GoodFirms.
Read verified reviews on GoodFirms →Vetted by Scrums.com Platform
Provider Dataiku
Last review 2026-08-14
What you get
the numbers that matterPriced on scope
billed monthly
≈ 2 weeks
signed to first PR
96%
engagements renewed
96%
to your stack & domain
Governed hub from Dataiku for deploying and operating enterprise AI agents against business data and tools.
How this operator works
every way of working, already decidedOwns the system, not the ticket
Takes end-to-end ownership of a service or surface. Design, delivery, on-call. And is measured on outcomes, not hours.
Embedded, async-first, instrumented
Works inside your repos, your CI and your rituals. Daily written standups, decisions logged. No status-meeting tax.
Runbooks, canaries, reversible deploys
Every change gated and reversible. Incidents get a timeline and a postmortem; nothing ships without a rollback.
Plugged into your Slack & rituals
Joins standups and retros, reports weekly against the goal. You get an operator, not a queue.
Brings a pre-wired stack or adopts yours
Infrastructure and observability as code by default. No bespoke setup tax to absorb.
Scoped, gated, reversible
Week-1 shadow, week-2 ownership, swap on request inside the trial window. No long-tail handover risk.
Overview
Dataiku Agent Hub is a governed hub for deploying and operating enterprise AI agents. It gives organisations one place to run agents that work against business data and tools, with the governance and oversight Dataiku's platform is built around.
Through Scrums.com, Dataiku Agent Hub is listed on the catalog and deployed by Scrums.com delivery teams. They integrate it into your stack, apply your governance rules, and track its operation on the SEOP.
What it does
Central agent deployment
Agents are deployed and managed from one hub instead of scattered across teams.
Business data and tool connections
Agents connect to the organisation's data and tools so their work is grounded in real business context.
Governance and oversight
The hub applies enterprise governance to agents - who may use them, what they may access, and how they behave.
Enterprise operations
Operating agents at company scale is a first-class concern: the hub is built for running many agents, not one demo.
Deploying it with Scrums.com
- Scope. Scrums.com runs a fit assessment against your workflows and governance requirements, including which agents, users and data domains the hub should govern.
- Integrate. Scrums.com engineers wire it into your repos, pipelines and tools with guardrails, connecting the hub to your data sources, tools and identity model.
- Operate. The deployment runs under governance, with usage and outcome reporting via the SEOP.
Commercial availability
Dataiku Agent Hub is sold by Dataiku as an enterprise SaaS capability of the Dataiku platform. Procurement runs through Dataiku; Scrums.com supports the commercial process as part of a deployment.
FAQs
How is this different from running agents ad hoc?
Ad hoc agents multiply without shared controls. Agent Hub centralises deployment and governance, so the organisation can see and manage every agent in one place.
What does deployment need?
A Dataiku environment with Agent Hub available, connections to the data and tools agents will use, and a governance owner on your side.
How is agent behaviour controlled?
Access and behaviour are governed through the hub and your Dataiku platform controls. Scrums.com configures these with you and reports operation via the SEOP.
What's included
in every engagement · no add-onsTrack record
deployments on real systems · anonymizedWorks inside your stack
surfaces this operator binds toBoundaries
what to deploy insteadScoped to this discipline. For an adjacent capability, compose a second operator into the squad. compose →
Not a fractional advisory engagement. For advisory-only, contact platform@scrums.com.
Deployments
the only social proof we publish402deploys
across 38 organizations
+24 last 30 days · median age 11.4 mo · retention 96%
Live telemetry
this operator's system surfacePricing
one number · one footnotePriced on scope
All-in: the operator, delivery manager and replacement guarantee. No recruiter fee, no markup surprises.
Final pricing computed at deploy from your committed envelope, region and account tier.
FAQ
common questionsHow is Dataiku Agent Hub priced?+
Priced on scope. Request a quote and pricing is computed from the work envelope.
Is Dataiku Agent Hub available now?+
Yes. It is published and deployable directly from the Scrums.com catalog.
Can a Dataiku Agent Hub deployment be reversed?+
Yes. Deployments are reversible with a one-click swap inside the trial window.
Who provides Dataiku Agent Hub?+
Dataiku, vetted by the Scrums.com platform.
How it compares
vs other agents| Option | From | Stack | Status |
|---|---|---|---|
| Dataiku Agent Hub · this one | Priced on scope | agent · ai-agents · enterprise-agents | ● available |
| Qdrant MCP Server | Priced on scope | mcp · qdrant · vector database | ● available |
| Pinecone MCP Server | Priced on scope | mcp · pinecone · vector database | ● available |
| Databricks SQL MCP Server | Priced on scope | mcp · databricks · sql | ● available |
Commonly deployed with
more agentsQdrant MCP Server
Qdrant MCP Server gives approved AI clients access to qdrant vector-memory workflows for storing and retrieving semantically relevant context. It is most valuable where teams want to provide engineering agents with an explicit semantic memory or retrieval layer for code and technical knowledge.
Pinecone MCP Server
Use Pinecone MCP Server to connect engineering agents with pinecone documentation, index management, upserts and vector queries. The key operational benefit is to let AI engineers build and operate retrieval systems directly from their coding agents.
Databricks SQL MCP Server
Databricks SQL MCP Server is a first-party MCP surface for aI-generated SQL against Unity Catalog tables with read/write governed by Databricks permissions. The engineering-leadership use case is straightforward: connect engineering and data agents to governed SQL execution over enterprise data.
Priced on scope