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graphqurl vs Odyssey: What are the differences?
graphqurl: Curl for GraphQL with autocomplete, subscriptions and GraphiQL. Made by the team at hasura.io, graphqurl is a curl like CLI for GraphQL; Odyssey: Scalable PostgreSQL connection pooler. Advanced multi-threaded PostgreSQL connection pooler and request router.
graphqurl and Odyssey belong to "Database Tools" category of the tech stack.
graphqurl and Odyssey are both open source tools. It seems that graphqurl with 1.86K GitHub stars and 41 forks on GitHub has more adoption than Odyssey with 1.16K GitHub stars and 33 GitHub forks.
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Learn MoreWhat is graphqurl?
Made by the team at hasura.io, graphqurl is a curl like CLI for GraphQL.
What is Odyssey?
Advanced multi-threaded PostgreSQL connection pooler and request router.
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What companies use graphqurl?
What companies use Odyssey?
What companies use graphqurl?
What companies use Odyssey?
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What tools integrate with graphqurl?
What tools integrate with Odyssey?
What tools integrate with Odyssey?
What are some alternatives to graphqurl and Odyssey?
GraphQL
GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.
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.