H2 Database vs Event Store | What are the differences? | StackShare

Event Store vs H2 Database

Overview

H2 Database

Stacks1.3K

Followers121

Votes0

Event Store

Stacks69

Followers82

Votes1

Event Store vs H2 Database: What are the differences?

Event Store: *The open-source, functional database with Complex Event Processing *. It stores your data as a series of immutable events over time, making it easy to build event-sourced applications. It can run as a cluster of nodes containing the same data, which remains available for writes provided at least half the nodes are alive and connected; 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.

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

According to the StackShare community, H2 Database has a broader approval, being mentioned in 9 company stacks & 19 developers stacks; compared to Event Store, which is listed in 9 company stacks and 11 developer stacks.

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Detailed Comparison

H2 Database	Event Store
It is a relational database management system written in Java. It can be embedded in Java applications or run in client-server mode.	It stores your data as a series of immutable events over time, making it easy to build event-sourced applications. It can run as a cluster of nodes containing the same data, which remains available for writes provided at least half the nodes are alive and connected.
-	Guaranteed writes; High availability; Projections; Multiple client interfaces; Optimistic concurrency checks; Subscribe to streams with competing consumers; Great performance that scales; Multiple hosting options; Commercial support plans; Immutable data store; Atom subscriptions
Statistics
Stacks 1.3K	Stacks 69
Followers 121	Followers 82
Votes 0	Votes 1
Pros & Cons
No community feedback yet	Pros 1 Trail Log
Integrations
No integrations available	.NET SQLite MySQL

What are some alternatives to H2 Database, Event Store?

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.