BigML Alternatives in 2026

DataRobot

DataRobot delivers an industry-leading AI platform designed to unify complex enterprise environments and maximize impact while minimizing risk. It enables the creation of purpose-built agents for various business needs, ensuring reliable performance and compliance.

DataRobot

DataRobot delivers an industry-leading AI platform designed to unify complex enterprise environments and maximize impact while minimizing risk. It provides customizable blueprints and built-in integrations to build purpose-built agents for various business needs.

H2O.ai

Open-source machine learning and predictive analytics platform.

IBM Watson Studio

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DataRobot

DataRobot delivers the industry-leading AI applications and platform that maximize impact and minimize risk for your business.

Databricks

Databricks offers a unified platform for data, analytics, and AI, simplifying ETL, data warehousing, governance, and AI. It enables organizations to discover insights and build generative AI applications while maintaining data privacy and control.

Databricks

Databricks offers a unified platform for data, analytics, and AI, enabling organizations to build better AI through a data-centric approach while simplifying ETL, data warehousing, governance, and AI on the Data Intelligence Platform.

Dataiku

Dataiku is The Universal AI Platform™ that enables users to build, deploy, and manage data, analytics, and AI projects. It combines human expertise with AI reasoning to facilitate trusted intelligence at scale.

Power BI

Microsoft's business analytics platform with AI features.

Trifacta

AI-powered data wrangling and preparation platform.

KNIME

KNIME is a free and open-source platform that provides data analysis tools, enabling users to create data science solutions through a visual workflow builder and implement them in enterprise settings.

Unsloth AI

Unsloth AI offers open-source fine-tuning and reinforcement learning for various LLMs, achieving training speeds up to 30x faster than Flash Attention 2. It is beginner-friendly and supports multiple GPU systems while being portable across different hardware.

Alteryx

Analytics automation and predictive analytics platform.

Vervoe

Skills assessment platform with AI grading.

Veryfi

OCR API for data extraction, mobile SDK for document capture, and toolkits to liberate trapped data in your unstructured documents like invoices, bills, purchase orders, checks (cheques) and receipts in real-time.

RapidMiner

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Anaplan

Anaplan is an AI-driven platform designed for scenario planning and analysis, enabling businesses to optimize decision-making and align strategic, financial, and operational plans. It provides actionable insights to enhance collaboration and performance across various functions.

Mosaic

Mosaic is a financial planning software that enables accurate planning, team alignment, and growth. It integrates headcount planning, forecasting, and analytics to help Finance and HR teams control costs and drive success.

Domino Data Lab

Domino Data Lab empowers enterprises to accelerate AI research and model deployment through a unified platform that fosters collaboration, ensures governance, and integrates workflows across various environments, enhancing innovation and efficiency.

SAS Analytics

SAS is the leader in analytics, providing innovative software and services that transform data into better decisions. Their solutions leverage advanced analytics and AI to enhance operational performance and reduce risks.

Ataccama

Ataccama accelerates business initiatives with trusted, high-quality data, featuring embedded intelligence and automation for enterprise-scale data quality. Their platform enhances collaboration among data teams, enabling smarter, faster decision-making across departments.

Yellowfin BI

Business intelligence with automated insights.

Koru

AI-powered predictive hiring platform.

Informatica Data Quality

Informatica Data Quality provides tools to ensure accurate, trusted data at scale, enabling businesses to identify and resolve data issues. It streamlines the data lifecycle and integrates various data quality processes for improved reliability.