Databricks vs TileDB
Overview
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Detailed Comparison
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. | 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. |
Built on Apache Spark and optimized for performance;
Reliable and Performant Data Lakes;
Interactive Data Science and Collaboration;
Data Pipelines and Workflow Automation;
End-to-End Data Security and Compliance;
Compatible with Common Tools in the Ecosystem;
Unparalled Support by the Leading Committers of Apache Spark | 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 |
Statistics | |
GitHub Stars - | GitHub Stars 2.0K |
GitHub Forks - | GitHub Forks 199 |
Stacks 525 | Stacks 5 |
Followers 768 | Followers 12 |
Votes 8 | Votes 0 |
Pros & Cons | |
Pros
| No community feedback yet |
Integrations | |
What are some alternatives to Databricks, TileDB?
Google Analytics
Google Analytics lets you measure your advertising ROI as well as track your Flash, video, and social networking sites and applications.
MongoDB
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.
MySQL
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
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.
Microsoft SQL Server
Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
SQLite
SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.
Cassandra
Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
Memcached
Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.
MariaDB
Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.
Mixpanel
Mixpanel helps companies build better products through data. With our powerful, self-serve product analytics solution, teams can easily analyze how and why people engage, convert, and retain to improve their user experience.
