Built for modern Lakehouse environments, the Scalor Engine natively supports open data formats and unlocks high-performance operations — including background compaction and incremental clustering. It helps teams reduce I/O overhead, speed up pipelines, and deliver fresher insights — all while using efficient cloud object storage without vendor lock-in.
By taking advantage of modern table formats, Scalor optimizes I/O with features like background compaction, row-level updates, and smart filtering — all tailored for fast, scalable Lakehouse analytics.
System decay not only degrades performance — it makes the system unpredictable and increasingly unstable, posing a direct threat to business SLAs.
Scalor.AI prevents this silently. It performs asynchronous, essential maintenance tasks like compaction and clustering — without interrupting streaming pipelines — to keep your system fast, predictable, and healthy.
No workloads when no data is detected. Scalor.AI intelligently suspends compute when idle — eliminating waste.
Elastic compute when needed. It automatically scales up or down based on workload patterns, including data ingestion spikes, merge and compaction pressure, and aggregation intensity — ensuring performance only when it matters.
Scalor.AI’s engine is cloud-native and seamlessly integrates with leading public cloud providers. With its modular architecture and open data formats, your data remains fully interoperable — enabling your existing tools, pipelines, and analytics systems to work without disruption. No lock-in. No rewrites.