Informatica Intelligent Data Management Cloud (IDMC) is a hybrid, cloud-native platform for finding, connecting, and managing data across hybrid and…
Best AI Data Platforms in 2026
Teams use AI data platforms to bring data together, ready it, apply controls and make it searchable for AI projects. This comparison covers no-cost offers, starting paid prices, deployment choices, connectors, governance, preparation, vector search and supported data types. For a Xiaomi, Redmi or POCO phone, check Android support before choosing. These platforms list access through web, API, Linux, self-hosting,…
Starburst Galaxy is a managed, cloud-hosted analytics platform built on Trino.
- 4
Denodo Platform
Denodo Platform is an AI data layer for connecting distributed enterprise data while keeping operational awareness, shared business meaning, and…
Free planWebAPILinuxSelf-hosted6.7Free plan - 5

Qubole
Qubole is a cloud data lake platform for data engineering, data management, streaming analysis, machine learning, data exploration, and ad-hoc analytics.
WebAPI6.3 - 6
Apache Hudi
Apache Hudi is an open-source data lakehouse platform that adds database capabilities to data lakes and supports incremental processing for low-latency analytics.
Free planLinuxSelf-hosted6.0Free plan - 7

Microsoft Fabric Notebooks
Microsoft Fabric Notebooks is a web-based interactive coding environment for Apache Spark jobs and machine learning experiments, intended for data…
WebAPI6.0 - 8

SAS Advanced Analytics
SAS Advanced Analytics refers to SAS Viya, a cloud-native data and AI platform for connecting data, building and governing models, and operationalizing decisions.
APISelf-hosted5.8 - 95.7From $83.30 a month
- 10

Collibra
Collibra is a data platform that connects the people who produce data with those who use it, bringing structured and unstructured sources into a…
WebAPIExtensionSelf-hosted5.6 - 11

Qlik Talend Cloud
Qlik Talend Cloud is a web-based data integration platform with cloud deployment and hybrid options.
Web5.6 - 12
5.5From $0.07 a month - 13

Databricks Data Intelligence Platform
Databricks Data Intelligence Platform is a web platform listing SQL analytics, ACID transactions, streaming ingestion, and a governance catalog.
Web5.0 - 144.7
- 154.6
- 16
Apache Fluss
Linux4.4 - 174.3
Choosing well
Choose a deployment model
Check whether you need a web service, API, Linux software, Windows access, a browser extension or self-hosting. Deployment options affect how the platform fits existing systems and where data is handled.
Confirm the supported access method before committing, especially if you plan to work from a phone or tablet.
Check plans and trials
No-cost plans appear for Apache Fluss, Apache Hudi, Databricks Data Intelligence Platform, Microsoft Fabric Notebooks and Google Cloud Lakehouse for Apache Iceberg. Availability and terms differ by product.
Some products show a starting paid rate, whereas others ask you to request pricing. Trial offers are listed for Databricks, Google Cloud Lakehouse for Apache Iceberg and Microsoft Fabric Notebooks.
Match your data workflow
Check that the available connectors and data-type coverage fit your needs. Review data-preparation tools and vector-search support if your work depends on preparing or retrieving data for AI systems.
Review governance controls
Data-governance features help determine how data is managed and controlled. Compare the governance details with your organisation's requirements before selecting a platform.
Confirm device access
The listed routes include web, API, Linux, self-hosting, Windows and extensions. Android is not shown in the platform facts, so check the vendor's access details if phone use matters.
Questions people ask
Can I start with a free plan?
Apache Fluss, Apache Hudi, Databricks Data Intelligence Platform and Microsoft Fabric Notebooks are among the products with free plans. Check the terms for the product you choose.
Are free trials available?
Trial offers appear for Databricks Data Intelligence Platform, Google Cloud Lakehouse for Apache Iceberg and Microsoft Fabric Notebooks. Trial length and terms vary.
What deployment options should I compare?
Compare access through the web, API, Linux, self-hosting, Windows and browser extensions. Select the option that matches your systems, security needs and device access.
Which data features matter most?
Review connector availability, governance, data preparation, vector search and supported data types. Prioritise the features required by your workflow.


