Data science platforms companies, products & suppliers

Workbenches for analysts and data scientists to explore, train and share notebooks. Jobs: hosted notebooks; shared environments; job scheduling from notebooks.

What are Data science platforms?

Workbenches for analysts and data scientists to explore, train and share notebooks. Jobs: hosted notebooks; shared environments; job scheduling from notebooks.

What problems does it solve?

Data science still happens on laptops with unmanaged copies of production tables.

Typical business use cases

  • Hosted notebooks
  • Shared environments
  • Job scheduling from notebooks

Important capabilities

  • Compute
  • Data connectors
  • Collaboration

What buyers should evaluate

  • Data access model
  • Secret handling
  • Promotion to production

Risks and governance considerations

Production extracts sitting in personal notebook storage.

Procurement checklist

  • Access control
  • Egress
  • Environment isolation

Relevant AI Trustmark assurance

AI Trustmark independent findings appear only when an assessment or certificate exists. Category membership does not imply verification.

Methodology · How verification works

Companies and providers

Claimed suppliers appear first so buyers can start with listings the company has taken ownership of. Payment does not buy this order.

  • Anaconda

    Anaconda is the trusted foundation for AI-native development. Secure, orchestrate, and accelerate data and AI at scale, from first experiment to production. Anaconda publishes Meta

  • Cloudera

    Cloudera is the only hybrid data and AI platform company that brings AI to data anywhere: In clouds, in data centers, and at the edge. Cloudera publishes Cloudera AI as named AI pr

  • Databricks

    Mosaic AI on Databricks unifies model building, evaluation, serving, and governance on the lakehouse. Public marketing also emphasises lakehouse-native GenAI/ML. It is presented fo

  • Datasparq

    Datasparq is a UK data and AI consultancy covering practical strategy through implementation. Datasparq publishes Datasparq Data & AI Consultancy as named AI products. Datasparq is

  • Deepnote

    Deepnote is a collaborative analytics and data-science notebook for Python/SQL exploration, teamwork, and sharing insights. Deepnote is used for Data science platforms work. Deepno

  • Digiterre

    Digiterre is a UK data and technology consultancy delivering data platforms and AI solutions for capital markets and enterprise clients. Digiterre publishes Digiterre data & AI con

  • Domino Data Lab

    Domino provides an enterprise data science platform for developing, deploying, and governing models at scale. Public marketing also emphasises enterprise data science workbench. It

  • H2O.ai

    Only H2O.ai provides an end-to-end GenAI platform where you own every part of the stack. Built for airgapped, on-premises or cloud VPC deployments. H2O.ai publishes H2O MLOps, H2O

  • Microsoft

    Microsoft Corporation sells Windows, Azure, Microsoft 365 and Copilot AI products. Public pages cover cloud, productivity and developer APIs used by enterprises and consumers. Micr

  • Oracle

    Oracle sells database, cloud infrastructure and enterprise applications. Public pages cover OCI, database services and AI features inside business applications. Oracle publishes My

  • Posit

    Posit is the enterprise data science platform trusted by 52 of the Fortune 100. Develop, deploy, and govern R and Python workflows and AI-powered applications, with the speed data

  • SAS

    SAS publishes SAS Data Maker, SAS Intelligent Decisioning, and SAS Model Manager as named AI products. SAS is used for Model governance and Data science platforms work. SAS is reco

  • Snowflake

    Snowflake Cortex brings LLM and ML functions into the Snowflake Data Cloud for governed SQL/AI analytics. Public marketing also emphasises aI in-warehouse with Snowflake governance

  • Tecton

    Databricks offers a unified platform for data, analytics and AI. Simplify ETL, data warehousing, governance and AI on the Data + AI Platform. Tecton is used for Feature stores work

Products

Claimed products appear first. Ranking packs and payment do not change this list.

Also used in this category

These products have a different primary category so they do not compete for the same ranking queries. They are listed here because buyers still encounter them in this job.

Related categories

Relevant procurement and assurance guides

Frequently asked questions

What is Data science platforms?

Workbenches for analysts and data scientists to explore, train and share notebooks. Jobs: hosted notebooks; shared environments; job scheduling from notebooks.

What should not be listed as Data science platforms?

Products whose buyer job is AutoML, feature stores, or BI copilots. Those belong on their own category page so search queries are not split.

Has AI Trustmark independently assessed every Data science platforms supplier?

No. A category listing is descriptive. Independent assessment is shown only on company or product pages that carry Trustmark evidence.

What are Data science platforms?

Workbenches for analysts and data scientists to explore, train and share notebooks. Jobs: hosted notebooks; shared environments; job scheduling from notebooks.

What model or provider changes should a buyer insist on being told about?

Material change usually includes a new model family, new region, new subprocessor, new write-capable tool, or a change that affects logging, privacy or human oversight. Those changes should trigger evidence refresh rather than a silent release.

How should buyers verify where AI customer data is processed?

Ask for the named processing locations, cloud regions and any subprocessors that see prompts, files or outputs. A directory listing is not evidence of residency. Independent assessment records the locations that were in scope on the assessment date.

Does a TrustMark on one product cover the rest of the company?

No. Independent assessment is scoped to the named organisation and, where relevant, the named product. Category pages list suppliers as a topic label. They do not imply that every listed company has been assessed.

What incident-handling evidence is useful for AI suppliers?

Buyers should see how AI-specific failures are detected, contained and notified — including unsafe outputs, data leakage and unauthorised agent actions. An incident policy that never mentions models, prompts or tools is incomplete for this class of product.