Connect your data to Spice
Spice connects to 30+ databases, warehouses, lakes, APIs, and streams. Federate SQL across your data stack, accelerate working sets, and build fast, intelligent applications.
Connect to 30+ data sources
Spice integrates with the systems modern teams rely on - databases, warehouses, data lakes, streaming systems, APIs, and search indexes. Our data connectors enable you to query data where it already lives using standard SQL, accelerate working sets locally, and integrate operational and analytical datasets into one unified runtime.
ElasticSearch
An open-source, distributed search and analytics engine built on the Apache Lucene library, used for storing, searching, and analyzing large volumes of structured and unstructured data in real time.
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DynamoDB
A fully managed, serverless, NoSQL database service from Amazon Web Services (AWS) that supports key-value and document data structures.
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Kafka
An open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.
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Debezium CDC
Debezium is an open source distributed platform for change data capture. Start it up, point it at your databases, and your apps can start responding to all of the inserts, updates, and deletes that other apps commit to your databases. Debezium is durable and fast, so your apps can respond quickly and never miss an event, even when things go wrong.
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Clickhouse
ClickHouse is the fastest and most resource efficient real-time data warehouse and open-source database.
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Microsoft SharePoint
A web-based collaboration and document management platform that organizations use to create websites, store and share information, and build corporate intranets.
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Oracle
Oracle offers a comprehensive and fully integrated stack of cloud applications and cloud platform services.
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Apache Iceberg
Iceberg is a high-performance format for huge analytic tables. Iceberg brings the reliability and simplicity of SQL tables to big data, while making it possible for engines like Spark, Trino, Flink, Presto, Hive and Impala to safely work with the same tables, at the same time.
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Spark
Apache Spark™ is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.
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ODBC
Open Database Connectivity, is a standard API that allows applications to access data from different databases using a single interface and a common query language like SQL.
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Microsoft SQL Server
Microsoft SQL Server (MSSQL) is a proprietary relational database management system (RDBMS) developed by Microsoft. It is designed to store and retrieve data as requested by other software applications, operating on a client-server model.
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FlightSQL
an open-source protocol built on Apache Arrow Flight for high-performance, columnar data transfer between SQL databases and clients. It aims to provide the ease of use of protocols like JDBC and ODBC but with significant performance gains by using the Arrow in-memory columnar format, avoiding costly row-to-column conversions and serialization.
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GraphQL
GraphQL is an open‑source query language for APIs and a server‑side runtime. It provides a strongly‑typed schema to define relationships between data, making APIs more flexible and predictable. And it isn’t tied to a specific database or storage engine — it works with your existing code and data, making it easier to evolve APIs over time.
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Delta Lake
An open-source storage layer that improves the reliability and performance of data lakes by bringing database-like features such as ACID transactions and schema enforcement.
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spice.ai
Spice is the only data lakehouse purpose-built for operational data use cases, not just analytics. Massively improve performance and eliminate the need for ETL pipelines, caches, and specialized databases - all in a portable 140MB runtime.
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Dremio
AI Capabilities That Drive Business Insights and Innovation. Dremio is designed to make every business user an expert analyst. There is no compromise between simplicity, low costs, and lock-in. Dremio delivers instant insights for every team.
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DuckDB
DuckDB is a fast open-source database system. Query and transform your data anywhere using DuckDB's feature-rich SQL dialect
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mysql
An open-source relational database management system (RDBMS). A relational database organizes data into one or more data tables in which data may be related to each other; these relations help structure the data.
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PostgreSQL
PostgreSQL is a powerful, open source object-relational database system with over 35 years of active development that has earned it a strong reputation for reliability, feature robustness, and performance.
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GitHub
The future of building happens together. Tools and trends evolve, but collaboration endures. With GitHub, developers, agents, and code come together on one platform.
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MongoDB
An open-source, NoSQL database program that stores data in flexible, JSON-like documents instead of the traditional tables and rows of relational databases.
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Snowflake
Your Solution for Data Warehousing, Data Lakes, Data Engineering, Data Science, and More. Test Drive Snowflake and Experience How You Can Drive Your Business Forward with Data.
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Databricks
The Databricks. Data Intelligence Platform. Databricks brings AI to your data to help you bring AI to the world.
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Deployed in production
Teams trust Spice to bring inference closer to their data, enabling low-latency, enterprise-grade AI across industries.
"Partnering with Spice AI has transformed how NRC Health delivers AI-driven insights. By unifying siloed data across systems, we accelerated AI feature development, reducing time-to-market from months to weeks - and sometimes days. With predictable costs and faster innovation, Spice isn't just solving some of our data and AI challenges - it’s helping us redefine personalized healthcare.”
Tim Ottersburg
VP of Technology, NRC Health
“Spice AI grounds AI in our actual data, using SQL queries across all our data. This brings accuracy to probabilistic AI systems, which are very prone to hallucinations.”
Rachel Wong
CTO, Basis Set
Integrations across all of your data sources
Accelerate your data and AI stack with a library of 30+ prebuilt connectors for the most common databases, warehouses, and file stores— - from Databricks and S3 to MySQL and PostgreSQL. Govern AI sandboxes with the same policies as your production data environments.
See Spice in action
Get a guided walkthrough of how development teams use Spice to query, accelerate, and integrate AI for mission-critical workloads.
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