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CrateIO
CrateIO

9
14
+ 1
7
ToroDB
ToroDB

0
3
+ 1
0
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CrateIO vs ToroDB: What are the differences?

Developers describe CrateIO as "The Distributed Database for Docker". Crate is a distributed data store. Simply install Crate directly on your application servers and make the big centralized database a thing of the past. Crate takes care of synchronization, sharding, scaling, and replication even for mammoth data sets. On the other hand, ToroDB is detailed as "Open source, document-oriented, JSON database that runs on top of PostgreSQL". ToroDB is an open source, document-oriented, JSON database that runs on top of PostgreSQL, providing storage and I/O savings and ACID semantics. ToroDB is MongoDB-compatible, so you can use Mongo clients to connect to it.

CrateIO and ToroDB can be categorized as "Databases" tools.

Some of the features offered by CrateIO are:

  • Familiar SQL syntax
  • Semi-structured data
  • High availability, resiliency, and scalability in a distributed design

On the other hand, ToroDB provides the following key features:

  • Document-oriented (JSON)
  • Store data reliabily and durably with PostgreSQL
  • Use MongoDB clients to connect to it

CrateIO and ToroDB are both open source tools. CrateIO with 2.49K GitHub stars and 333 forks on GitHub appears to be more popular than ToroDB with 10 GitHub stars and 2 GitHub forks.

What is CrateIO?

Crate is a distributed data store. Simply install Crate directly on your application servers and make the big centralized database a thing of the past. Crate takes care of synchronization, sharding, scaling, and replication even for mammoth data sets.

What is ToroDB?

ToroDB is an open source, document-oriented, JSON database that runs on top of PostgreSQL, providing storage and I/O savings and ACID semantics. ToroDB is MongoDB-compatible, so you can use Mongo clients to connect to it.
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            What tools integrate with CrateIO?
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            What are some alternatives to CrateIO and ToroDB?
            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.
            Microsoft SQL Server
            Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
            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.
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