Snowflake Inc.
Acquisitions
5
Major Deals Covered
$800M
Disclosed Deal Value
Snowflake's largest disclosed acquisition here is Streamlit for $800M in 2022. This page covers 5 major deals from 2022 to 2026, each with its price where disclosed and the reason behind it.
| Company | Year | Price | Purpose |
|---|---|---|---|
| Streamlit | 2022 | $800.0M | To rapidly integrate a best-in-class, open-source application framework that allows data scientists to quickly build and deploy interactive data applications and machine learning models directly on top of the Snowflake platform. |
| Neeva | 2023 | Undisclosed | To acquire a team of expert search engineers and integrate their advanced search and discovery technologies into the Snowflake platform, enhancing the ability of customers to find, understand, and govern their data assets. |
| Observe | 2026 | Undisclosed | To add AI-powered observability for logs, metrics and traces built on Snowflake's data platform. |
| Natoma | 2026 | Undisclosed | To provide an enterprise Model Context Protocol (MCP) gateway so AI agents can connect to business applications with governance and security. |
| TensorStax | 2026 | Undisclosed | To bring agentic AI to data engineering and reduce manual pipeline work. |
2026
To add AI-powered observability for logs, metrics and traces built on Snowflake's data platform.
Extends Snowflake into the IT observability market, where telemetry data volumes create large consumption workloads.
Announced January 8, 2026 and closed in May 2026. Snowflake did not disclose the price; The Information reported about $1B.
2026
To provide an enterprise Model Context Protocol (MCP) gateway so AI agents can connect to business applications with governance and security.
Lets Cortex Agents securely act across the enterprise applications customers already use.
Definitive agreement announced May 27, 2026; terms not disclosed.
2026
To bring agentic AI to data engineering and reduce manual pipeline work.
Adds AI agents that help data teams build and maintain pipelines inside Snowflake.
Acquisition announced in June 2026; terms not disclosed.
2023
To acquire a team of expert search engineers and integrate their advanced search and discovery technologies into the Snowflake platform, enhancing the ability of customers to find, understand, and govern their data assets.
The acquisition accelerated the development of Snowflake's data governance and discovery features, providing customers with a more intuitive, AI-driven search experience that improves data literacy and drives higher utilization of the platform.
Neeva's technology and engineering team were integrated into Snowflake's core platform development efforts, contributing to the enhancement of the company's data catalog, search capabilities, and overall user experience.
2022
$800M
To rapidly integrate a best-in-class, open-source application framework that allows data scientists to quickly build and deploy interactive data applications and machine learning models directly on top of the Snowflake platform.
The acquisition significantly enhanced Snowflake's ability to capture the rapidly growing market for data application development, providing a smooth, native experience for data scientists to create custom dashboards and analytical tools without leaving the Snowflake environment.
Streamlit runs natively inside Snowflake as Streamlit in Snowflake, letting customers build data and AI apps directly against governed data. The roughly $800M price was reported at the time of the March 2022 announcement.
Under CEO Sridhar Ramaswamy, Snowflake is positioning itself as the data layer for enterprise AI agents. It is adding AI services (Cortex AI, Cortex Agents and Snowflake Intelligence), developer tools (Snowpark, Streamlit, Snowflake Postgres) and open-format support (Apache Iceberg). In 2026 it bought Observe for AI-powered observability, agreed to acquire Natoma for governed agent connectivity via the Model Context Protocol, and acquired TensorStax for agentic data engineering. The raised FY2027 product revenue target of $6.07B (+36%) reflects this push.
Snowflake runs a consumption-based cloud data platform on top of AWS, Microsoft Azure and Google Cloud. Customers are billed for compute (virtual warehouses, Snowpark, Cortex AI and other services, metered in credits), for storage per terabyte per month, and for data transfer. Most large customers sign multi-year capacity commitments and draw them down as they use the platform; revenue is recognized on consumption, not on contract signing. Professional services and training are a small share of revenue. The Snowflake Marketplace and secure data sharing let customers exchange live data without copying it, which adds workloads and keeps data on the platform.
In March 2022, Snowflake acquired open-source Python data application framework Streamlit for $800 million in stock and cash, empowering millions of data scientists to build interactive web data applications running natively on Snowflake.
In May 2023, Snowflake acquired AI-powered search startup Neeva. The acquisition brought cutting-edge generative search and conversational retrieval technology, forming the foundation of Snowflake Cortex AI and bringing Sridhar Ramaswamy to Snowflake, who became CEO in 2024.
In early 2026, Snowflake acquired AI-powered observability and telemetry platform Observe, allowing enterprise IT teams to ingest and troubleshoot logs, metrics, and traces directly inside the Snowflake Data Cloud at massive cost savings over legacy APM vendors.
In September 2022, Snowflake acquired Warsaw-based document AI startup Applica, integrating its proprietary multimodal Deep Learning models to extract structured insights from unstructured enterprise documents (PDFs, invoices, contracts).
In October 2023, Snowflake acquired Python data science startup Ponder (creators of Modin), enabling data scientists to run standard Pandas code directly inside Snowflake's data engine without data movement.
In February 2023, Snowflake acquired differential privacy platform LeapYear Technologies, enabling healthcare and financial institutions to compute statistical insights and train machine learning models on sensitive data while mathematically preventing identity re-identification.
In January 2023, Snowflake acquired AI-powered time series forecasting platform Myst AI, embedding automated forecasting algorithms for supply chains, electricity demand, and financial markets into Snowflake Cortex.
In mid-2026, Snowflake acquired TensorStax for agentic data pipeline engineering and Natoma for governed Model Context Protocol (MCP) connectivity, allowing autonomous enterprise AI agents to discover, query, and act on corporate data.
In 2020, Snowflake completed an early acqui-hire of digital health platform Datu Health, bringing senior cloud infrastructure engineering talent to build out Snowflake's specialized Healthcare and Life Sciences Data Cloud.
Snowflake Ventures makes strategic equity investments in high-growth startups building on or integrating with the Snowflake Data Cloud, including investments in dbt Labs, Alation, ThoughtSpot, Hex, and Dataiku.
Snowflake focuses on acquiring specialized teams and intellectual property in generative AI, agentic workflow automation, observability, and open table formats (Apache Iceberg) that accelerate customer compute consumption.
Unlike legacy conglomerates that keep acquired software isolated, Snowflake completely rebuilds acquired tools (like Streamlit, Neeva, and Applica) to run natively within its single, unified ANSI SQL security and governance engine.
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