We bypass the JVM and use a custom columnar storage engine written in Rust. By indexing data at the ingest layer and using hardware-accelerated filtering, we eliminate the need for heavy full-text search clusters.

No. Orbital is a fully managed cloud service. We handle the ingestion pipelines, storage tiering, and query compute nodes so you can focus on debugging.

You define retention per stream. Data can be stored in high-performance NVMe tiers for immediate access or moved to cold object storage for long-term compliance without losing searchability.

We charge based on compressed data ingested and query compute hours. Unlike legacy providers, we do not charge per-seat or apply a 'tax' on high-cardinality metadata.

Yes. We provide native OTLP endpoints. You can point your existing collectors to Orbital without changing your application code or instrumentation logic.