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

Products and providers

Open a product profile for its catalogue details, or use the provider link for the company profile. Claimed listings appear first, then by name. Payment never changes the order.

  • By Anaconda

    Anaconda's AI platform page now leads to Anaconda Core, its foundation for secure, governed Python and AI development. It provides 4,000+ vetted, signed packages and curated models

  • By 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 AI is Cloudera's platform, from Clou

  • By Databricks

    Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data + AI Pl

  • By Datasparq

    Datasparq is a UK data and AI consultancy covering practical strategy through implementation. Public marketing also emphasises strategy-to-implementation UK data/AI boutique. It is

  • By Deepnote

    Deepnote is a collaborative analytics and data-science notebook for Python/SQL exploration, teamwork, and sharing insights. Public marketing also emphasises collaborative notebooks

  • By Digiterre

    Digiterre is a software and data engineering consultancy with 25 years of building custom, real-time and big data platforms for global organisations, best known in financial servic

  • By 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

  • By 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 Cloud is H2O.ai's platfor

  • By Microsoft

    Azure Machine Learning is Microsoft's enterprise service for the end-to-end machine learning lifecycle. Data scientists and engineers use it to prepare data, train, evaluate, deplo

  • By Oracle

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

  • By 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

  • By SAS

    SAS Viya is SAS's platform, from SAS Institute Inc. Published at sas.com/en_us/software/viya.html. Directory filing: Data science platforms. Vendor legal name on this product recor

  • By Snowflake

    Snowflake enables organizations to collaborate, build AI-powered data apps, and unlock data insights—all within a secure and scalable AI Data Cloud. Snowflake ML is Snowflake's pla

  • By Tecton

    Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data + AI Pl

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.