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  1. Stackups
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  4. Databases
  5. CockroachDB vs eXist-db

CockroachDB vs eXist-db

OverviewComparisonAlternatives

Overview

eXist-db
eXist-db
Stacks8
Followers17
Votes0
CockroachDB
CockroachDB
Stacks216
Followers341
Votes0

CockroachDB vs eXist-db: What are the differences?

CockroachDB: A cloud-native SQL database for building global, scalable cloud services that survive disasters. Cockroach Labs is the company building CockroachDB, an open source, survivable, strongly consistent, scale-out SQL database; eXist-db: An open source software project for NoSQL databases built on XML technology. It is known as High-performance native XML database engine and all-in-one solution for application building.

CockroachDB and eXist-db can be primarily classified as "Databases" tools.

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Detailed Comparison

eXist-db
eXist-db
CockroachDB
CockroachDB

It is known as High-performance native XML database engine and all-in-one solution for application building.

CockroachDB is distributed SQL database that can be deployed in serverless, dedicated, or on-prem. Elastic scale, multi-active availability for resilience, and low latency performance.

Native XML Database; Rich Application server; FullText indexing; NoSQL; XQuery Processor; XML processing stack; betterForm XForms integration
sql; high availability; fast; acid;
Statistics
Stacks
8
Stacks
216
Followers
17
Followers
341
Votes
0
Votes
0
Integrations
Meteor
Meteor
MEAN
MEAN
Datadog
Datadog
Clever Cloud
Clever Cloud
Mongoose
Mongoose
Sails.js
Sails.js
Metabase
Metabase
No integrations available

What are some alternatives to eXist-db, CockroachDB?

MongoDB

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

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

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

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

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

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

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

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

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

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.

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