Develops a data automation platform built on Apache Iceberg, enabling seamless table format interoperability across data lakes and warehouses. It addresses the challenges of data fragmentation and inefficiency by providing a unified standard for managing and processing large-scale datasets.
Funding
$26M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
ACFounders
Product
Problem
Organizations struggle with data silos and a lack of interoperability between data lakes and data warehouses, hindering efficient data processing and analysis. Existing solutions often lack a unified standard for managing large-scale datasets, leading to data fragmentation and increased complexity.
Solution
Tabular provides a storage platform built upon Apache Iceberg, enabling seamless table format interoperability across diverse data ecosystems. By establishing a common standard, Tabular eliminates data silos and simplifies data management across data lakes and warehouses. This unified approach streamlines data processing, enhances data accessibility, and facilitates more efficient analytics workflows. Tabular allows organizations to leverage their existing infrastructure while benefiting from a consistent and interoperable data layer.
Target Audience
The primary target audience includes data engineers, data scientists, and data architects working in organizations that manage large volumes of data across multiple platforms.
Features
- Apache Iceberg-based table format for data lake and data warehouse interoperability
- Unified data access across different storage systems
- Support for large-scale datasets and complex data structures
- Optimized data processing and query performance