Alternatives to Microsoft Azure Machine Learning

A unified data analytics and AI platform built on the lakehouse architecture.

Enterprise AI platform automating the end-to-end machine learning lifecycle for faster, scalable AI deployment.

An open-source AI and machine learning platform for enterprises.

A suite of services for building, deploying, and managing machine learning models on Google Cloud.

Creates a unified, searchable data glossary for businesses to trust their analytics.

Enterprise large language models and developer platform for custom AI applications.

Data observability platform for data reliability and quality.

Agentic Data Intelligence Platform for scaling AI and data initiatives with trusted data.

Explorium is a leading data company that uses GenAI technology to build the world’s largest and highest quality collection of premium external data, empowering businesses to make accurate go-to-market decisions.

Cloud data warehouse for building next-gen analytics experiences with sub-second performance, designed for engineers and AI agents.

A meta machine learning platform for tracking, comparing, and optimizing ML experiments.

Open-source, end-to-end MLOps platform for enterprise AI development and deployment.

Cohere offers a secure, all-in-one enterprise AI platform with cutting-edge multilingual models, advanced retrieval, and an AI workspace, enabling businesses to build high-impact applications grounded in proprietary data.

The de facto public leaderboard for frontier LLMs.

Business intelligence and big data analytics platform.

ModelOp's Enterprise AI Command Center unifies every AI asset, automating delivery and maximizing ROI for ML, GenAI, and agentic AI in production.

Pyramid Analytics offers a decision intelligence platform that empowers users with AI-augmented, automated, and collaborative insights for data-driven decision-making.

Virtualizes expensive AI hardware to enable efficient pooling, sharing, and allocation of resources.

Provides expert-quality code data for training and evaluating frontier LLMs.

Sponsors of OpenWALDO, a community-driven initiative for open-source AI training data, and provider of enterprise Linux, HPC, and AI infrastructure software.

Open-source Python library for validating ML models and data, ensuring reliability and quality.

MLOps platform for tracking, visualizing, and collaborating on machine learning experiments.

Indian subsidiary of Domino Data Lab, an enterprise AI platform for building and operating AI at scale.

Open-source data lake management platform for engineers and data scientists.

Unified DataOps platform for data ingestion, observability, catalog, and reverse ETL.

Observability for Spark-heavy data pipelines, proactively preventing bad data.

Streaming data processing hub for building, deploying, and monitoring contextual data pipelines.

Databand.ai provides a data observability platform for data engineers to monitor data pipelines and ensure data quality.

Automates data management and analytics for businesses, simplifying data modeling, cleanup, and infrastructure.

K2View provides a Data Product Platform that delivers a trusted, holistic, and real-time view of enterprise data.

Varada leverages indexing and advanced storage/networking to provide fast data lake query performance.

Upsolver provides a data ingestion and preparation platform for data developers to move and transform data at scale.

Automated data lake platform for enterprises deploying AI agents.

Track experiments, validate models, and collaborate with confidence using Skore, the methodology layer for AI coding tools.

A suite of cloud computing services offered by Google, providing infrastructure, data analytics, and machine learning.

Open-source platform for ML experiment tracking and data versioning.

End-to-end platform for organizing and accelerating data science projects.

Data observability and reliability platform for modern data teams, ensuring quality of business-critical data.

DataCebo generates high-quality synthetic enterprise data using generative AI for testing, training, and simulation.

Euno provides a dynamic governance solution for data teams, enabling scalable self-service analytics and AI.

Empowers data analysts to transform and model data using SQL with software development best practices.

A data catalog and governance platform for modern data teams.

Impala AI provides an inference engine for enterprises to scale AI efficiently and affordably.

Comet provides an MLOps platform for tracking, comparing, and optimizing machine learning models and experiments.

An open-source orchestration platform for unifying data pipelines, AI workflows, and business processes.

Trainloop AI provides a platform for post-training intelligence, enabling businesses to analyze and improve their AI models after deployment.

Industrial DataOps software enabling manufacturers to securely connect, model, and flow industrial data.

Kubernetes-native feature store for MLOps, simplifying feature management and deployment.

Neptune provides a data platform for businesses to manage and analyze their data.

Artemis Data builds software to make the data cleaning process fast and efficient for AI development.

Provides an end-to-end platform for data analytics, blending data preparation, blending, and advanced analytics.

dbt-native data observability solution for data engineers, monitoring data pipelines.

Code-native platform for versioned data and AI pipelines on object storage.

Continuously fine-tunes enterprise AI models using production data.

Abacus Insights is a healthcare technology company that provides a data integration and management platform designed to curate, organize, and standardize healthcare data for payers.

No-code data transformation platform for business users to prepare data for analytics.

Accelerates test data management for DevOps, R&D, and QA teams.