01
Alteryx
Analytics for all
Alteryx is an agentic analytics and automation platform that helps organisations turn complex data into trusted insights. It unifies data, analytics, and AI workflows to accelerate operations and decisions.
96.0
Best data science platforms
10 ranked, with a plain verdict on every entry.
Alteryx comes first on this list: it lowers AI agent token consumption by over ninety percent while delivering accurate answers. Deepnote is built for Data teams requiring collaboration and AI integration, and offers over one hundred integrations with existing data stacks. Cloudera serves global enterprises requiring sovereign AI control, and converges public cloud with enterprise data centres for a unified experience.
RANKENTRYSCORETRENDFROM
1
AlteryxAllows analysts to build governed visual workflows using no-code interfaces without IT requests96.0NEW$5,195 per user per year
4
Knime Analytics PlatformAllows users to interleave visual workflows with code90.0NEWFree (open-source desktop) or Custom (Cloud)
9
H2O.aiAccelerates model development with AutoML capabilities80.0NEWOpen-source free; DriverlessAI from £25,000 per year
CURATED · UPDATED REGULARLY
The ranking, in detail
02
Deepnote
The open data workspace built for humans and agents
Deepnote is a collaborative analytics and data science platform designed for teams. It provides an open workspace where humans and agents can explore data and automate insights.
96.0
03
Cloudera
The industry’s only platform bringing AI to data anywhere
Cloudera is a modular hybrid data and AI platform engineered for the agentic era. It brings artificial intelligence to data anywhere across clouds, data centres, and the edge.
90.0
04
Knime Analytics Platform
Open-source visual workflow platform for data science and analytics
KNIME Analytics Platform is an intuitive tool for data work. It supports ETL, analytics, predictive AI and agent building.
90.0
05
Databricks
The lakehouse platform for data and AI
Databricks is a unified data and AI platform that runs analytical and operational workloads on one open foundation. It enables organisations to build BI and AI applications while streamlining data processes without adding complexity.
88.0
06
mpds.io
Materials platform for data science
The Materials Platform for Data Science provides analysis tools and interactive plots. It offers access to extensive materials data through a graphical interface or API.
86.0
07
Anaconda
Builder freedom with enterprise control
Anaconda provides a trusted foundation for building, securing, and operating AI at scale. It unifies development through production using the models and infrastructure teams already choose.
84.0
08
Dataiku
The platform for everyday AI
Dataiku unifies analytics, models, and AI agents within a single governed system. This ensures enterprise AI operates with orchestration, visibility, and control from the outset.
84.0
09
H2O.ai
Open-source and commercial ML platform for scalable predictions
H2O.ai offers an enterprise platform for secure model development.
80.0
10
Hex
Make everyone a data person
Hex is a connected analytics system that empowers everyone to ask questions and build with data. It provides agentic notebooks and interactive apps to simplify complex workflows.
78.0
Not on this ranking?
Positions 1, 2 and 3 are available to buy for twelve months.
Frequently asked questions
What do the top four say they are built for?
Alteryx says it is built for Business teams automating operations and generating insights, and Deepnote for Data teams requiring collaboration and AI integration. Cloudera says it is built for global enterprises requiring sovereign AI control, and Knime Analytics Platform for Business and domain experts.
What should a buyer check before signing up?
Alteryx states that the Starter Edition is limited to one concurrent workflow execution, and Deepnote that the free plan limits users to only three editors per project. Those are the limits each product publishes itself, not a full account of any plan.