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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Apache Derby vs VelocityDB

Apache Derby vs VelocityDB

OverviewComparisonAlternatives

Overview

VelocityDB
VelocityDB
Stacks1
Followers19
Votes0
Apache Derby
Apache Derby
Stacks103
Followers22
Votes0
GitHub Stars369
Forks141

VelocityDB vs Apache Derby: What are the differences?

Developers describe VelocityDB as "A NoSQL Object Database, extended as Graph Database is VelocityGraph". It is a C# .NET NoSQL Object Database that can be Embedded/Distributed, extended as Graph Database is VelocityGraph. It supports both embedded and distributed deployments. On the other hand, Apache Derby is detailed as "An open source relational database implemented entirely in Java". It is an open source relational database implemented entirely in Java and available under the Apache License.

VelocityDB and Apache Derby can be categorized as "Databases" tools.

Some of the features offered by VelocityDB are:

  • Acid Transactional
  • Android
  • Any CPU (32bit/64bit)

On the other hand, Apache Derby provides the following key features:

  • Small footprint
  • Based on the Java, JDBC, and SQL standards
  • Provides an embedded JDBC driver

Apache Derby is an open source tool with 215 GitHub stars and 109 GitHub forks. Here's a link to Apache Derby's open source repository on GitHub.

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Detailed Comparison

VelocityDB
VelocityDB
Apache Derby
Apache Derby

It is a C# .NET NoSQL Object Database that can be Embedded/Distributed, extended as Graph Database is VelocityGraph. It supports both embedded and distributed deployments.

It is an open source relational database implemented entirely in Java and available under the Apache License.

Acid Transactional; Android; Any CPU (32bit/64bit); Array support; Auto Increment on a field; Backup & Restore; Choice of data structure to use; Compression of data; Data Fragmentation
Small footprint; Based on the Java, JDBC, and SQL standards; Provides an embedded JDBC driver
Statistics
GitHub Stars
-
GitHub Stars
369
GitHub Forks
-
GitHub Forks
141
Stacks
1
Stacks
103
Followers
19
Followers
22
Votes
0
Votes
0
Integrations
MySQL
MySQL
PostgreSQL
PostgreSQL
Velocity.js
Velocity.js
.NET
.NET
GraphQL
GraphQL
C#
C#
Java
Java

What are some alternatives to VelocityDB, Apache Derby?

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.

Amazon DynamoDB

Amazon DynamoDB

With it , you can offload the administrative burden of operating and scaling a highly available distributed database cluster, while paying a low price for only what you use.

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