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Reduce Data Warehouse Costs by 50% with Lakehouse

Legacy data warehouses incur high compute costs from frequent ETL workloads — and these costs escalate rapidly as data volumes grow. Moving these pipelines to an open lakehouse can cut millions in annual compute and storage costs.

Lakehouse Cost Comparison

Proven on hyperscale mission-critical workloads

Achieved a >2× cost reduction (from $1M to $400k annually), accelerated business SLAs from 24 hours to 6, and sustained 94% streaming efficiency under unpredictable data spikes and noisy inputs.

Learn About Enterprise Showcase

Solution on Your Cloud

Enhance, not Replace

Run non-intrusively on your existing infrastructure. Scalor.AI leverages your core services — such as cloud storage and Spark — without introducing additional layers or duplicating services.

No Vendor Lock-in

Scalor.AI enables a modular and staged data strategy, standardized in an open lakehouse format, and accessible to all major query engines including Spark, Trino, Flink, and Presto.

Secure

Everything stays in your cloud, under your governance. Scalor.AI focuses solely on compute and storage optimization — not data ownership.

Introducing The Scalor Engine

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.

Engine on Your Cloud

Scalor Architecture

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