Apache Iceberg + InfluxDB

Why InfluxDB and Iceberg for your time series data in Snowflake?

Your data lakehouse, powered by Snowflake, is the central hub for AI, ML, and advanced analytics. But time series data, with its relentless volume and velocity, often becomes a bottleneck. Traditional approaches force you into costly ETL processes and data duplication, delaying critical insights. InfluxDB 3, with its native Apache Iceberg integration, shatters this barrier. We’ve engineered a seamless bridge that allows you to access your high-fidelity time series data directly from Snowflake.

Adding InfluxDB delivers:

• Zero-ETL Simplicity: Access InfluxDB data directly from Snowflake without complex transformations.
• Reduced TCO: Eliminate data duplication and streamline your data architecture.
• Unified Analytics: Combine real-time time series data with historical datasets in Snowflake.
• Enhanced AI/ML: Fuel your models with high-resolution, up-to-date time series data.

Train smarter, predict more accurately

Stop relying on stale or aggregated time series data. With InfluxDB and Iceberg, your data scientists can now directly access granular, real-time data within their familiar Snowflake environment. This means more precise AI models, earlier anomaly detection, and a significant competitive edge.

Say goodbye to costly and complex pipelines

Building and maintaining ETL pipelines to move time series data into your data lakehouse is a drain on resources and time. Our Iceberg integration eliminates this burden. Your data in InfluxDB is instantly accessible in Snowflake’s Iceberg format, freeing up your data engineers to focus on higher-value tasks.

Lower TCO with a purpose-built tool

Managing separate operational and analytical systems for time series data is inefficient and expensive. By unifying these workloads with InfluxDB and Snowflake, you simplify your data architecture, reduce infrastructure costs, and streamline your operations.

Real-time insights at your fingertips

No more waiting for data to be replicated or transformed. Query and analyze your time series data in Snowflake as soon as it’s ingested into InfluxDB. This accelerates your AI and analytics workflows, allowing you to react faster to changing conditions and make more informed decisions.