Your full-stack data team

10–20×

cheaper than the equivalent DIY stack — and fixed and predictable, rather than warehouse spend that moves with your workloads.*

Days vs. Months

to go live. A self-assembled stack needs months of setup before it answers its first question.

Zero

data engineers for you to hire. Datachef runs the platform, staffed by engineers who already know your source systems.

* Against an estimated $500,000 of software plus salary for an equivalent in-house stack. Most GenAI and analytics programmes that stall do so on data hygiene, governance and infrastructure rather than on ambition — NTT DATA puts the failure rate at 70–85%.

What is Datachef?

Datachef is an end-to-end data platform for business teams. It connects, explores, models, visualizes and orchestrates data from Salesforce, Marketo, HubSpot and other business platforms and databases — ETL, data lake, modeling, visualization, reverse ETL and AI-assisted analytics in a single managed platform. There is no stack to assemble, no data engineers to hire and no infrastructure to run.

How do I know if I need Datachef?

If any of the following are true:

• Your standard reports are insufficient
• You understand that some queries are impossible in source systems (see "Overcoming the limits of SOQL")
• Data is scattered across multiple platforms
• You do not have a dedicated data engineering team, or your data engineering team does not have enough capacity to support your needs.

Datachef helps you overcome reporting limits, combine data from multiple sources, and operationalize core data models and analytical pipelines.

How is this different from building a modern data stack myself?

A DIY stack means buying four or five tools — a warehouse like Snowflake or Databricks, plus dbt, Fivetran, Looker or Tableau, Airflow, Census — and stitching them together. It needs dedicated data engineers to build and maintain, takes months before the first question gets answered, and is built for IT and engineering teams, with analysts waiting in the queue.

Datachef is one managed platform doing the same jobs, run for you by engineers who already know your systems, live in days or weeks, at roughly 5–10% of the DIY cost — and built for business teams rather than for the people who maintain the pipeline.

Do I need to know SQL to use Datachef?

No. Ask questions in natural language and Datachef writes the SQL, shows you the assumptions it made, and charts the result. If you do know SQL, the editor is a real one with autocomplete over everything you have synced — and there are none of the basic-reporting limits your source systems impose. Either way, your dedicated solution engineer is there to help.

Can Datachef push data back into my systems?

Yes — that is the Integrate step. Modeled data flows back into Salesforce, Marketo and HubSpot, so lead scores, advanced segments and meaningful events land in the systems your team already works in rather than in a dashboard nobody opens. Reverse ETL is included on the Enterprise and Custom plans.

How can I share the models and reports I build?

Share models across the org so every query, report and QBR deck tells the same story. Work lives in named tabs that stay private until you publish them to your workspace, and permissions control who can view or edit each model and report. A published chart travels with its analysis, so a reader sees the chart its author built rather than a bare table.

How much does Datachef cost?

Datachef is sold as an annual platform license: $11,988 for Professional, $29,988 for Enterprise, and from $120,000 for Custom. Plans differ by workspaces, AI token allowance, support level, reverse ETL and private cloud deployment — the full breakdown is in pricing. Additional consulting hours with your solution engineer are $225 per hour, and a free trial is available before you commit.

Can Datachef run in our own cloud?

Yes. Private cloud deployment into your own AWS, Google Cloud or Azure account is available on the Custom plan. Professional and Enterprise run on the managed Datachef platform.

How does Datachef secure my data?

Datachef is SOC 2 compliant, and the security controls and supporting documentation can be provided on request. Data stored on the platform is always encrypted at rest, and leading technology, cybersecurity and financial services firms trust Datachef to process customer and prospect PII.