Onboard data from S3 data lake or operational systems with rapid batch, incremental or trickle ingestion
Robust query processing stack built to transform TBs of data with SQL
Low latency updates and deletes combined with strong consistency ensures fresh insights are delivered immediately
Leverage popular integrations to automate, orchestrate transformations at scale
Deliver fast time-to-insight with out-of-the-box ingestion speeds of several TBs/hr
Explore datasets in seconds. Rapidly prototype data models with schema inference.
Direct reads from the data lake for exploration
“COPY FROM”
Save time and money with schema inference and fast ingestion
Scale to handle transformations that exceed the bounds of the physical infrastructure
Complex queries are split into tasks and executed with resource awareness leveraging a distributed vectorized run-time.
Seamless data flow with a network efficient shuffle guaranteeing low-latency as your data volume grows.
Memory is a limited resource in any distributed cluster. Firebolt automatically manages memory pressure with spill-to-disk.
Address ELT jobs of different shapes, cost effectively
Deliver efficient ELT with the combination of Firebolt's elastic infrastructure and the simplicity of SQL models on dbt.
Get started with JSON processing on Firebolt.
Learn how Firebolt ingests, organizes and transforms raw data to deliver insights efficiently.
Power mixed workloads, from ELT to high-concurrency serving — all with SQL simplicity.
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