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CelerData Tech Stack

SQL query engine for petabyte-scale lakehouse analytics

Software Development Menlo Park, California 51–200 employees Founded 2022 Public Company

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.

Tech Stack 24 technologies

AdoptingStarRocks

What CelerData Is Building

Challenges

  • Improving database functionality
  • Streamlining operational workflows
  • Enhancing product ux
  • Increasing adoption of starrocks
  • Query performance bottlenecks
  • Integration challenges
  • Performance and reliability standards
  • Fault tolerance and scalability

Active Projects

  • Core saas feature enhancements
  • Cloud deployment improvements
  • Product ux redesign
  • Cloud control plane development
  • Auto-scaling feature development
  • Starrocks database system development

Hiring Activity

Accelerating6 roles · 4 in 30d

Department

Engineering
4
Product
2

Seniority

Senior
3
Lead
1
Mid
1
Principal
1
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About CelerData

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.

HeadquartersMenlo Park, California
Company Size51–200 employees
Founded2022
Hiring MarketsUnited States

Frequently Asked Questions

What is CelerData's tech stack built on?

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.

What are CelerData's main product areas?

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.

How this profile is built

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.