GizmoData
GizmoData offers GizmoSQL, a high-performance SQL engine built on DuckDB and Apache Arrow Flight SQL that delivers warehouse-grade analytics at up to 90% lower cost than traditional platforms like Snowflake or Databricks. The solution can be self-hosted in a customer's own cloud or fully managed, processing 1TB of TPC-H benchmark data in under 90 seconds for roughly $0.17. It supports open standards including Arrow Flight SQL, JDBC, and Python, and integrates with tools like dbt, Iceberg, and S3/GCS/Azure.
- Artificial Intelligence
- AI Agents
- Data & Analytics
- Developer Tools
- Enterprise Software
- Software Only
Funding
Founders
Product
Problem
Traditional cloud data warehouses like Snowflake, Databricks, and BigQuery impose high compute costs that scale with query volume, making analytics expensive for organizations processing large datasets. These platforms also create vendor lock-in through proprietary storage formats and require moving data outside a company's own infrastructure, raising security and compliance concerns.
Solution
GizmoData provides GizmoSQL, a blazing-fast SQL engine built on DuckDB and Apache Arrow Flight SQL that delivers warehouse-grade analytics at up to 90% lower cost than traditional platforms. The engine runs the same standard SQL that existing dashboards and pipelines already use, processing 1TB of TPC-H benchmark data in under 90 seconds for approximately $0.17 on a single VM. Customers can self-host GizmoSQL in their own cloud environment—keeping data and keys within their infrastructure—or opt for a fully managed service. The platform speaks Arrow Flight SQL, ADBC, JDBC, and Python, and integrates with dbt, Iceberg, DuckLake, and major cloud storage services, ensuring compatibility with existing data stacks.
Target Audience
Primary customers are data engineering and analytics teams at mid-to-large enterprises seeking to reduce cloud data warehouse costs while maintaining performance, as well as AI/ML teams needing shared SQL infrastructure for multi-agent workloads.
Features
- Powered by DuckDB, ranked #2 median hot-run on ClickBench's single-node reference benchmark, ahead of Snowflake, BigQuery, Redshift, and Databricks
- Supports concurrent multi-agent AI workloads, allowing multiple LLM agents to share a single lightweight SQL server
- Enterprise Edition includes session instrumentation, admin controls, fine-grained permissions, token authentication, audit logging, and military-grade encryption
- Session management features including --max-sessions caps and --session-idle-timeout eviction to prevent idle connections from consuming memory
- Deployable via Terraform and Helm with support for EKS, GKE, and AKS data planes managed from a single console
- Open-source Apache-2.0 core with no proprietary storage, using open table formats to prevent vendor lock-in