What is TileDB?
TileDB offers a data engine that makes data management and compute fast, easy and universal. Manage, store, share and analyze any kind of data (not just tables) with any computational tool (not just SQL) at extreme scale.
TileDB is a tool in the Databases category of a tech stack.
TileDB is an open source tool with 1.6K GitHub stars and 170 GitHub forks. Here’s a link to TileDB's open source repository on GitHub
Who uses TileDB?
Python, Java, Amazon S3, Golang, and MariaDB are some of the popular tools that integrate with TileDB. Here's a list of all 15 tools that integrate with TileDB.
- An open-source, open-spec cloud-native storage engine and universal format based on multi-dimensional arrays
- Support for multiple backends
- Data versioning and updates built-in
- Extreme interoperability with multiple language APIs and data science frameworks
- Integrations with most SQL engines and various geospatial and genomic libraries
- 100% serverless functions spanning SQL, UDFs and advanced analytics
- Data sharing and secure access control within and outside organizations
- Data and code exploration and collaboration
- Data Monetization
- Hosted Jupyter Notebooks
TileDB Alternatives & Comparisons
What are some alternatives to TileDB?
See all alternatives
Databricks Unified Analytics Platform, from the original creators of Apache Spark™, unifies data science and engineering across the Machine Learning lifecycle from data preparation to experimentation and deployment of ML applications.
Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.