Snowflake Reportedly Seeking to Acquire Observability Startup Observe for $1B

Why It Matters

The acquisition would embed advanced monitoring into Snowflake’s data platform, enhancing its value proposition for enterprise customers and intensifying competition in the observability market.

Key Takeaways

• Snowflake eyes $1B acquisition of Observe.
• Observe's OPAL query language enhances time‑aware analysis.
• Deal would make Snowflake a direct competitor to Splunk.
• Observe's revenue tripled, customers doubled last year.
• Integration leverages Snowflake’s data platform for telemetry storage.

Pulse Analysis

Snowflake’s pursuit of Observe underscores a broader shift among cloud data platforms toward end‑to‑end data operations. By adding observability directly into its ecosystem, Snowflake can offer customers a unified environment where data storage, processing, and performance monitoring coexist. This strategy mirrors recent moves by rivals to lock in workloads and reduce reliance on third‑party tools, reinforcing Snowflake’s ambition to become the default backbone for modern analytics workloads.

Observe differentiates itself with OPAL, a custom query language that treats time as a first‑class dimension, enabling precise interval‑based analyses that traditional SQL‑based observability tools struggle with. The platform’s chatbot interface streamlines incident investigation, allowing engineers to pose natural‑language queries that translate into complex telemetry searches. Built on Snowflake’s own data warehouse, Observe already stores massive telemetry datasets efficiently, creating a seamless data pipeline that reduces latency and operational overhead for customers monitoring both Snowflake and external environments.

If the $1 billion deal closes, Snowflake will directly challenge incumbents like Splunk and Cisco’s observability suite, potentially reshaping market dynamics. Existing Snowflake customers stand to benefit from tighter integration, lower costs, and simplified monitoring of data pipelines, containerized workloads, and security events. For the broader industry, the acquisition signals that data platforms are no longer passive storage layers but active, observability‑enabled hubs, accelerating the convergence of data engineering, security, and operational intelligence.