If you need a single platform to house your data, applications and AI work to fuel business growth and decision making, Snowflake is a top contender. Snowflake is a cloud-based collaboration platform for data-driven application development and for running a variety of workloads in an AI Data Cloud. It integrates data, applications and AI into a single system for higher productivity and data-driven decision making.
Another top contender is Databricks, a data intelligence platform that uses generative AI to integrate data, analytics and governance. It lets customers build, deploy and operate AI applications directly on their data while keeping control and privacy. The platform offers AI-infused data intelligence, democratized insights through natural language and cost-effective operations through unified approaches. It supports a variety of tools and integrations, including ETL, data ingestion, business intelligence and governance.
Informatica offers a cloud-based, AI-powered data management platform that integrates, governs and unifies data across multi-cloud and hybrid environments. With its CLAIRE AI engine, Informatica automates data integration tasks and offers features such as cloud connectivity, modern data architecture and secure data management. It supports a variety of industries and offers solutions for specific roles, so it's a good fit for companies looking to modernize data management and make their data more AI-ready.
For a hybrid data platform, check out Cloudera. Cloudera's platform securely ingests, processes and analyzes data across cloud and on-premise environments. It integrates massive amounts of data from many sources into a single trusted source for insights and AI model training. The platform includes a broad range of data services and offers real-time insights, automated data pipelines, large-scale data analytics and accelerated machine learning, making it a good fit for industries like financial services, manufacturing and healthcare.