CelerData operates a SQL query engine built on StarRocks, designed to execute analytics directly on open data formats (Iceberg, Parquet) without pre-ingestion pipelines. The tech stack mirrors a database company at scale: C++, Java, Kafka, Kubernetes across cloud platforms (AWS, Azure, GCP), plus Databricks and Snowflake integrations. Hiring is concentrated in engineering and product with senior/lead-level roles, signaling active feature velocity and UX rework rather than foundational rebuilds.
CelerData delivers a query engine optimized for low-latency, high-concurrency analytics on data lakes and lakehouses at petabyte scale. The product integrates natively with Apache Iceberg and runs SQL workloads directly on open-format data without staging or transformation delays. The company targets mid-market and enterprise analytics teams replacing traditional data warehouses or running parallel to cloud analytics platforms. Founded in 2022 and headquartered in Menlo Park, CelerData is 51–200 employees, currently scaling engineering capacity and product capabilities in cloud deployment and auto-scaling.
CelerData uses C++ and Java as core languages, with Kafka for streaming, Kubernetes for orchestration, and StarRocks as the query engine. It integrates with Apache Iceberg, Parquet, Databricks, Snowflake, and runs on AWS, Azure, and GCP.
CelerData is focused on core SaaS feature enhancements, cloud deployment improvements, UX redesign, cloud control plane development, and auto-scaling capabilities. Current challenges include query performance bottlenecks, integration complexity, and scaling fault tolerance.
CelerData's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.