Tabular (now part of Databricks)
Tabular, now part of Databricks, is a cloud-native managed storage engine that provides services on top of Apache Iceberg tables.
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Description
Tabular is a cloud-native managed storage engine built on top of Apache Iceberg tables. It provides a range of services that simplify data management and analysis. Functionally, it can be thought of as a "headless data warehouse" that allows users to connect their preferred compute engines for querying and analysis. Tabular emphasizes a Bring Your Own Compute (BYOC) model, giving users flexibility to leverage open-source and commercial tools like Apache Spark, Trino, and AWS Athena.
Tabular, now part of Databricks, is designed to automate crucial storage-related tasks like data compaction, file optimization, and expired snapshot removal. This streamlines data engineering workflows, improves query performance, and reduces cloud resource expenditure. The platform's fully-hosted Apache Iceberg REST catalog API enables seamless integration with various compute frameworks, simplifying data access and management.
Flexibility
Tabular does not provide information about job flexibility in the provided content. NONE
Benefits
Tabular offers different levels of support depending on the customer's plan. Customers on the Starter plan rely on community support via a shared Slack channel monitored by Tabular personnel. Customers on Pro and Enterprise plans get 24/7 support directly from Tabular, along with service level agreements (SLAs) for initial response and resolution. Professional services are also available for specific needs such as platform migration or complex use cases.
Mission
Tabular, now a part of Databricks, aims to simplify data management by providing a cloud-native, managed storage engine built on top of Apache Iceberg tables. They strive to create an open and modular data architecture that allows users to connect various compute engines to a single central table store, removing the need for data duplication and promoting greater flexibility and efficiency. This approach enables a more productive data environment, allowing users to focus on their data and utilize declarative tools while Tabular handles the underlying complexities of storage and optimization.
Culture
Tabular, now part of Databricks, promotes a culture of innovation and collaboration, centered around building and fostering the open-source Apache Iceberg project. They value data engineering and data consumer productivity, emphasizing a shared storage layer that allows for modular data architecture and flexibility in choosing the best tools for the job. This culture prioritizes open standards, community engagement, and the continual pursuit of solutions to complex data challenges, making them a leading force in the data industry.