Simplify Data

Manage real-time data at scale. Reduce costs and improve performance. Query big data and generate insights quickly—no complicated setup or special skills needed.

join the waitlist

A Modern Data Platform

Avoid the high costs of traditional databases for analytics. Kastor uses binary large object ("blob") storage coupled with a powerful query engine to handle large datasets efficiently.

Get A Demo

DataFusion and Iceberg

RGI contributes to the Apache open-source community and incorporates Arrow, DataFusion, and Iceberg in our Data Lakehouse platform. DataFusion adoption has hit warp speed with 500+ contributors and 5,700+ pull requests.

Built On

4.9k+

GitHub Stars

5.7k+

PRs

500+

Contributors

“The data warehouse and data lake are now converging into the data lakehouse. The point is to enable greater agility for all analytics, but with less data redundancy, a simpler architecture, and a more consistent view of semantics for all analytics data.”

Philip Russom

Gartner Data & Analytics Summit 2023

Philip Russom

Gartner Data & Analytics Summit 2023

A New Universe for Data Analytics

Meet Your New Lakehouse

Escape the limitations of traditional relational databases with Kastor, a dynamic and scalable data lakehouse engineered for modern data needs. Kastor seamlessly melds with your IT environment, providing a cost-efficient, scalable solution optimized for complex analytics on structured data—without the rigidity and high costs of traditional systems.

Kastor combines the query capabilities of data warehouses with the scalability of data lakes, offering exceptional performance for analytic workloads. Enhanced governance and robust security underpin this architecture, making Kastor the ideal platform for forward-thinking organizations.

Rethink Your Data Strategy

Kastor seamlessly integrates with a range of data sources like Apache Kafka, Databricks and Snowflake, simplifying complex workflows into efficient processes. From ingestion and cleansing to sophisticated enrichment, your data is transformed into a curated, actionable dataset stored in Apache Iceberg's efficient columnar format.

Leverage Kastor’s powerful query engine with Ballista for dynamic data retrieval. Easily manage and explore your data with our intuitive data catalog and advanced search features, accessible through GraphQL and REST APIs.

A Next Generation Query Engine

DataFusion, built with Rust and Apache Arrow, offers unparalleled speed and efficiency. It enhances processing through optimized, vectorized, and multi-threaded execution, speeding up complex data operations.

Complement your investments in hot-tier storage for customer- facing applications & online transaction processing (OLTP) with Kastor running on warm & cold-tier storage.

Ballista extends DataFusion's reach with a scalable, distributed compute platform, significantly reducing memory usage compared to Apache Spark and lowering costs.

Together, these technologies enable Kastor to surpass the demands of modern data workloads with superior performance and cost-effectiveness.

Iceberg: Advanced Data Management

Apache Iceberg transforms analytics with a high-performance table format, ensuring full transactional integrity through atomic operations that prevent partial updates.

Iceberg streamlines complex data management: schema evolution allows seamless changes, snapshot isolation ensures consistent transactions, and incremental processing cuts resource use. Row-level operations and time travel features provide detailed control and historical data access, boosting audits and strategic decisions.

Benefit from Comprehensive Security

Apply end-to-end data security across your data pipelines and processing using encryption for data at rest and data in motion, OAuth authentication, and Open Policy Agent to govern role-based access.

Incorporate Google Sensitive Data Protection to exclude personally identifiable information (PII) from training data and generative AI responses.

Key Features

Batch & Streaming Data

Apache Kafka
CSV files
Relational databases
SaaS applications
Snowflake

Semantic Layer

Implement a comprehensive semantic layer across all data source inputs and outputs built on a Hive Metastore data catalog.

Pre-built GraphQL

Manage data services, data objects, and microservices without the complexity associated with building your own GraphQL interfaces.

Lower Compute Costs

Legacy systems leave compute nodes idle up to 95% of the time. With us, pay only for the compute you actually use.

Support Gen AI Adoption

Generative AI often struggles with errors and hallucinations. Kastor enables reliable GenAI applications by powering it with structured, trustworthy datasets.