Koordinates ranks first here for Government agencies and engineering teams, and provisions REST APIs and Esri REST endpoints for every dataset.
Qubole is built for Data engineers and analysts, and automates installation and maintenance of multiple open source engines with near zero administration.
Cloudera serves global enterprises requiring sovereign AI control, and converges public cloud with enterprise data centres for a unified experience.
The ranking, in detail
01

One place for spatial data with self-service for everyone.
Koordinates is a comprehensive spatial data platform designed for storing, browsing, and sharing geospatial information. It provides self-service capabilities for teams to manage authoritative datasets without requiring specialist GIS skills.
Best for Government agencies and engineering teams
94.0
02

The cost efficient data lake platform
Qubole is an open and secure data lake platform for machine learning, streaming, and ad-hoc analytics. It provides end-to-end services that reduce the time and effort required to run workloads on any cloud.
Best for Data engineers and analysts
92.0
03

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.
Best for Large global enterprises requiring sovereign AI control
90.0
04

Warehouse-native customer data platform
RudderStack is an agentic customer data platform designed for collaborative human and agent workflows. It enables teams to collect, unify, and activate customer data efficiently.
Best for Data engineering teams using modern data stacks
90.0
05

A powerful open data platform making data FAIR.
DKAN is a community-driven open data platform built as a Drupal module. It creates modern, API-first catalogues for government and nonprofit organisations.
Best for Government agencies
86.0
06

The science data cloud
Earthmover is a full stack for multidimensional scientific data. It combines storage, governance, and compute services into one platform.
Best for scientific AI teams
86.0
07

The complete OpenLineage solution for data lineage
Marquez enables consuming, storing, and visualising OpenLineage metadata from across an organisation. It serves use cases including data governance, quality monitoring, and performance analytics.
Best for Data engineering teams
86.0
08

The context platform for AI agents
DataHub is an AI and data context management platform.
Best for enterprise data teams building agentic AI
84.0
09

A federated, AI-enhanced data catalogue for all your data
Magda provides a single place where an organisation’s data can be catalogued, enriched, searched, tracked and prioritised.
Best for Data analysts, scientists and engineers
78.0
10

Easily manage your research data
OpenAtlas is an open source database software developed especially to acquire, edit and manage research data from various fields of humanities like history, archaeology and cultural heritage as well as related scientific data.
Best for researchers in the humanities
72.0
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?
Koordinates says it is built for Government agencies and engineering teams, and Qubole for Data engineers and analysts. Cloudera says it is built for global enterprises requiring sovereign AI control, and RudderStack for Data and engineering teams.
What should a buyer check before signing up?
OpenAtlas states that OpenAtlas is not a stand-alone application but meant to be installed on a Linux web server. Those are the limits each product publishes itself, not a full account of any plan.
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