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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. CockroachDB vs H2 Database

CockroachDB vs H2 Database

OverviewComparisonAlternatives

Overview

H2 Database
H2 Database
Stacks1.3K
Followers121
Votes0
CockroachDB
CockroachDB
Stacks216
Followers341
Votes0

CockroachDB vs H2 Database: What are the differences?

Introduction: CockroachDB and H2 Database are both popular relational database management systems used for various applications. However, they have key differences that set them apart in terms of features, performance, and use cases.

  1. Database Type: CockroachDB is a distributed SQL database that is specifically designed to be highly scalable and resilient to failures. On the other hand, H2 Database is an in-memory database that is lightweight and suitable for embedded applications or testing scenarios.

  2. SQL Compatibility: CockroachDB supports a wide range of SQL features and is compatible with PostgreSQL, making it easy for users familiar with PostgreSQL. In contrast, H2 Database also supports SQL standards but may have limitations compared to CockroachDB in terms of advanced SQL features and syntax.

  3. Performance: CockroachDB is designed for high availability and scalability, making it suitable for large-scale distributed applications that require high performance and reliability. H2 Database, being an in-memory database, offers fast read and write operations but may not be as robust in handling large amounts of data and concurrent transactions as CockroachDB.

  4. Consistency Model: CockroachDB follows serializability as the default isolation level, ensuring strong consistency in distributed transactions. H2 Database offers different isolation levels but may not provide the same level of consistency guarantees as CockroachDB in distributed environments.

  5. Deployment Options: CockroachDB can be deployed on-premises, in the cloud, or in a hybrid environment, offering flexibility in deployment options. On the other hand, H2 Database is typically used in embedded scenarios or lightweight applications, limiting its deployment flexibility compared to CockroachDB.

  6. Scalability: CockroachDB is designed to scale horizontally across multiple nodes, enabling seamless expansion of storage and computing resources as the data volume grows. In contrast, H2 Database is more suitable for small to medium-sized applications where vertical scaling or increasing resources on a single node is sufficient.

In Summary, CockroachDB and H2 Database differ in terms of database type, SQL compatibility, performance, consistency model, deployment options, and scalability capabilities, offering users a choice based on their specific requirements and use cases.

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Detailed Comparison

H2 Database
H2 Database
CockroachDB
CockroachDB

It is a relational database management system written in Java. It can be embedded in Java applications or run in client-server mode.

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.

-
sql; high availability; fast; acid;
Statistics
Stacks
1.3K
Stacks
216
Followers
121
Followers
341
Votes
0
Votes
0

What are some alternatives to H2 Database, 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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