Build Accelerated, Data-Grounded AI Applications
Spice AI partners with NetApp to help organizations build real-time, data-driven applications and AI agents. By combining Spice.ai data engines with NetApp ONTAP S3 Lakehouse and Azure NetApp Files, enterprises can connect diverse data sources, accelerate queries locally, and build modern, performant, and cost-efficient architectures for AI workloads.
With Spice AI + NetApp, Enterprises can:
Build high-performance, data-grounded AI applications with unified access to your NetApp storage infrastructure
Federate Data Across Storage Protocols
Execute fast, low-latency SQL queries across NetApp ONTAP S3, NFS, SMB, and Azure NetApp Files with Spice.ai's unified query engine - no data movement required.
Accelerate Queries Locally
Cache frequently accessed data alongside your application for sub-second latency. Eliminate network round-trips and reduce load on primary storage systems.
Build Modern Data Lakehouses
Combine NetApp ONTAP S3 Lakehouse with Dremio and PostgreSQL for a composable data platform that supports real-time analytics and AI workloads.
Integrate LLMs with Your Data
Connect foundation models like GPT-4 to your NetApp data sources. Use natural language queries with spice chat to get answers grounded in your enterprise data.
Native Storage Protocol Integrations
Spice AI connects to NetApp storage through multiple protocols, enabling unified SQL access across your entire data infrastructure:
NetApp ONTAP S3
Query Parquet, CSV, and JSON files from ONTAP S3 buckets. Build data lakehouses with native Apache Iceberg support.
NFS File Shares
Access data on NFS exports from NetApp volumes directly. Query files from network-attached storage with the NFS Data Connector.
SMB/CIFS Shares
Connect to SMB file shares for Windows-based workflows. Federate data from CIFS-mounted NetApp storage.
FTP/SFTP Access
Query files from FTP and SFTP servers. Supports Parquet, CSV, and JSON formats with secure transfer.
Azure NetApp Files
Connect to Azure NetApp Files by Instaclustr for cloud-native enterprise file storage with high performance.
Local File Systems
Query any locally accessible filesystem including mounted network shares. Supports automatic refresh on file changes.
What Our Partners Say
Healthcare Analytics and Patient Experience
"Partnering with Spice AI has transformed how NRC Health delivers AI-driven insights. We reduced time-to-market from months to weeks - or even days - and empowered our developers to build dependable, patient-centric tools. Spice isn't just solving our data and AI challenges, it's redefining what's possible in personalized healthcare."
Enterprise Data Infrastructure
"By combining Spice.ai, Dremio, PostgreSQL, and NetApp ONTAP S3 Lakehouse, you can build a modern data platform that supports real-time analytics and AI workloads. This architecture is not only performant and scalable but also cost-efficient."
FAQs
Common questions about querying NetApp storage with Spice.
Spice queries ONTAP S3 buckets with its S3 data connector. Set the s3_endpoint parameter to the ONTAP S3 endpoint URL instead of an AWS region endpoint. The connector reads Parquet, CSV, and JSON files, and Spice queries them with standard SQL.
Yes. The NFS connector reads files from NFS exports with an nfs://host/export-path URI, and it is part of Spice Enterprise. The SMB connector reads files from SMB 3.1.1 shares with an smb://host/share/path URI. Both connectors are read-only and have alpha status.
By default, Spice queries NetApp data in place, and the source files stay on NetApp storage. When you configure acceleration for a dataset, Spice keeps a local copy of that dataset next to the application. The local copy makes queries faster and reduces read load on the storage system. See data acceleration for how refresh works.
Yes. Spice connects NetApp datasets to an LLM, and the model queries them with SQL tools during a conversation. The spice chat command sends natural-language questions to that model from the command line. See LLM tool calling for how the model uses these tools.
About Spice AI
Spice AI helps enterprises build fast, accurate, and scalable AI applications and agents with its portable, open-source data and AI compute engine. It connects data from disparate sources including NetApp storage systems, simplifies application development, and supports workloads across cloud, edge, and on-premises systems.
Learn More About the Partnership
Discover how Spice AI and NetApp work together to build accelerated, data-grounded AI applications with modern data lakehouse architecture.
Read the Tech ONTAP Blog (opens in a new tab)