CrateIO vs H2 Database

Overview

CrateIO

Stacks19

Followers39

Votes7

GitHub Stars4.3K

Forks581

H2 Database

Stacks1.3K

Followers121

Votes0

CrateIO vs H2 Database: What are the differences?

CrateIO: 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; H2 Database: A relational database management system written in Java. It is a relational database management system written in Java. It can be embedded in Java applications or run in client-server mode.

CrateIO and H2 Database can be primarily classified as "Databases" tools.

CrateIO is an open source tool with 2.51K GitHub stars and 333 GitHub forks. Here's a link to CrateIO's open source repository on GitHub.

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Detailed Comparison

CrateIO	H2 Database
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.	It is a relational database management system written in Java. It can be embedded in Java applications or run in client-server mode.
Familiar SQL syntax;Semi-structured data;High availability, resiliency, and scalability in a distributed design;Powerful Lucene based full-text search	-
Statistics
GitHub Stars 4.3K	GitHub Stars -
GitHub Forks 581	GitHub Forks -
Stacks 19	Stacks 1.3K
Followers 39	Followers 121
Votes 7	Votes 0
Pros & Cons
Pros 3 Simplicity 2 Scale 2 Open source	No community feedback yet
Integrations
Docker	No integrations available

What are some alternatives to CrateIO, H2 Database?

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.

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.