Real-Time Analytics
Sub-second dashboards and data products on petabytes of data at any concurrency
Data Warehousing
Sub-second analytics on open lakehouse formats with no vendor lock-in
Observability in the AI Era
The most cost-effective alternative to Elasticsearch observability
Context Engineering
Hybrid search and fresh context for RAG, agents, and LLMs

WhaleOps brings enterprise-grade workflow orchestration around Apache DolphinScheduler. Paired with VeloDB, every batch and streaming pipeline — ingestion, transformation, model training — runs on a reliable schedule and lands clean, query-ready data in your warehouse.
WhaleOps is the team behind Apache DolphinScheduler, a visual workflow scheduler used by enterprises for data pipelines, ML jobs, and operational automation. They deliver hardened, supported distributions plus operational tooling for production deployments.
Drag-and-drop DAGs for the common case, full SQL and shell hooks when you need them — all writing into VeloDB.
WhaleOps handles dependencies, retries, timeouts, and SLAs so the data lands in VeloDB on time, every time.
Run history, lineage, and alerts come out of the box. Spot a failed load before downstream queries hit empty tables.
Built on Apache DolphinScheduler, so you keep portability and an open ecosystem of tasks and integrations.
Schedule extract, load, and transform jobs across sources; land curated tables in VeloDB on a predictable cadence.
Coordinate streaming ingest with periodic batch reconciliation so VeloDB always reflects an authoritative state.
Drive feature pipelines, model training, and report generation — all reading from and writing to VeloDB.
Tell us about your stack and use case. Our team will help you stand up VeloDB with WhaleOps for your environment.