Welcome to Spice.ai

Welcome to the Spice.ai Cloud Platform documentation!

The Spice.ai Cloud Platform is a data and AI application platform; an AI-backend-as-a-service comprising of composable, ready-to-use data and AI building blocks including federated SQL query, machine learning, and cloud-scale, managed Spice.ai OSS.

This is the Spice.ai Cloud Platform documentation. If you are looking for the Spice.ai OSS project documentation please visit docs.spiceai.org.

Operating data and AI infrastructure can be painful.

😓 Query data from many sources and backends.

😓 Maintain expensive and often error prone ETL, data, query, and ML infrastructure.

😓 Constantly monitor data, training, and inferencing for errors, correctness, changes, and bottlenecks.

😓 Comply with governance, compliance, and privacy concerns.

Spice.ai makes it easy.

With Spice.ai, you can:

  • Query real-time and historical data using SQL in seconds and fetch results in JSON or Apache Arrow for use with applications, ML, or libraries like NumPy and Pandas.

  • Collaborate on datasets and ML models in one place through the new community-centric developer hub.

  • Create, fork, and curate your own hosted datasets and ML models to share and build with the community indexed by the Spice.ai package manager, spicerack.org.

  • Define and manage custom datasets in GitHub along with your application code.

  • Bring and federate your own data or leverage 100TB+ of preloaded community data.

Spice.ai is preloaded with community data from ecosystems including Ethereum, Bitcoin, and EigenLayer along with enriched datasets for NFTs, DeFi, DEXs, ENS, Asset Prices, and more. Most datasets are open-source and available at github.com/spiceai/datasets.

Building blocks available in the Spice.ai platform today include:

Take it for a spin by starting with the getting started guide.

Feel free to ask any questions or queries to the team in Discord.

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