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dat

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dat vs Massive: What are the differences?

What is dat? Real-time replication and versioning for data sets. Dat is an open source project that provides a streaming interface between every file format and data storage backend.

What is Massive? A Postgres-Centric Data Access Tool. Massive's goal is to help you get data from your database. This is not an ORM, it's a bit more than a query tool - our goal is to do just enough, then get out of your way. Massive embraces SQL completely, and helps you out when you don't feel like writing another mundane select * from statement.

dat and Massive can be categorized as "Database" tools.

dat and Massive are both open source tools. dat with 7.54K GitHub stars and 460 forks on GitHub appears to be more popular than Massive with 2.55K GitHub stars and 194 GitHub forks.

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What is dat?

Dat is an open source project that provides a streaming interface between every file format and data storage backend.

What is Massive?

Massive's goal is to help you get data from your database. This is not an ORM, it's a bit more than a query tool - our goal is to do just enough, then get out of your way. Massive embraces SQL completely, and helps you out when you don't feel like writing another mundane select * from statement.

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What companies use dat?
What companies use Massive?
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    What tools integrate with dat?
    What tools integrate with Massive?
      No integrations found
      What are some alternatives to dat and Massive?
      IPFS
      It is a protocol and network designed to create a content-addressable, peer-to-peer method of storing and sharing hypermedia in a distributed file system.
      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.
      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.
      Redis
      Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
      See all alternatives