TROY, MI, Apr 16, 2025 – Altair has partnered with Databricks, the data and AI company, to empower joint customers with next-generation capabilities for data unification, graph-powered intelligence, and enterprise-grade artificial intelligence (AI).
This partnership integrates the Altair RapidMiner platform with the Databricks data intelligence platform. It enables customers to access and analyze data in Databricks while using Altair’s tools for decision-making, AI development, and data operations.
“We are thrilled to partner with Databricks to empower our customers to stay ahead of the competition by achieving faster, smarter, and more efficient outcomes,” said Sam Mahalingam, chief technology officer, Altair. “Through this collaboration, we are helping customers not just analyze their data but truly activate it – transforming fragmented data into intelligent systems that can learn, reason, and act. Together, Altair and Databricks are redefining the future of data science and analytics.”
Customers can leverage Altair RapidMiner’s data preparation, machine learning, and deployment capabilities to extract insights from their data in Databricks. This collaboration helps businesses use AI and machine learning in ways that are easy to access and expand. It supports growth through innovation and by helping companies make better use of their data over time.
“We’ve been impressed by Altair’s innovative approach to data preparation and machine learning,” said Ariel Amster, director of strategic technology partners, Databricks. “Our partnership will leverage the benefits of Altair RapidMiner and the Databricks Data Intelligence Platform to help customers explore, analyze and take action on data at scale.”
Enabling Enterprise Modernization with Altair RapidMiner and Databricks
Customers can use Altair RapidMiner to access, prepare, and analyze data in Databricks without data duplication. The platform’s full-stack AI capabilities – from low-code AutoML to MLOps, agent frameworks, and high-speed visualization – empower organizations to prototype, deploy, and scale AI applications using data stored in Databricks.
Altair RapidMiner also offers native support for SAS language execution – one of only two platforms in the world with this capability – allowing customers to preserve and extend the value of their existing analytics investments while modernizing their workflows. This unique capability, especially when linked with Databricks, combines past and present into a single enterprise strategy.
Powering Knowledge Graphs and Data Fabrics with Databricks Data
A key differentiator is Altair RapidMiner’s massively parallel processing (MPP) knowledge graph technology – purpose-built to support knowledge graph creation, data fabrics, and ontology modeling at enterprise scale.
By integrating with Databricks, customers can use the Altair RapidMiner knowledge graph engine to connect, contextualize, and activate all types of data – structured, unstructured, and streaming. These graph-powered fabrics form the foundation for a new generation of intelligent systems, enabling generative AI models and autonomous agents to navigate the complexity of an organization’s digital operations.
Source: Altair
About Altair
Altair Engineering Inc., founded in 1985 and headquartered in Troy, MI, is a computational science and AI leader. The company offers software and cloud solutions across various domains, including product development, high-performance computing (HPC), simulation, AI, and data analytics. Altair’s comprehensive, open-architecture platforms empower organizations to design efficient and sustainable products and processes. Altair has established itself as a key player in engineering and enterprise analytics, serving the automotive, aerospace, and manufacturing industries.
About Databricks
Databricks, founded in 2013 by the creators of Apache Spark, is a San Francisco-based company specializing in data analytics and AI. Its cloud-based Data Intelligence Platform integrates data engineering, machine learning, and business analytics, enabling organizations to manage and analyze large-scale data efficiently. Serving over 12,000 customers across sectors like finance, healthcare, manufacturing, and media, Databricks supports more than 60% of Fortune 500 companies. As of late 2024, the company reported an annual revenue run rate of $3 billion. Databricks employs approximately 8,000 people in 23 countries . In 2025, it relocated its headquarters to One Sansome Street in San Francisco, occupying a 150,000-square-foot space to accommodate its expanding team and operations.