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  1. Stackups
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  4. Databases
  5. Apache Derby vs MapD

Apache Derby vs MapD

OverviewComparisonAlternatives

Overview

MapD
MapD
Stacks32
Followers24
Votes4
Apache Derby
Apache Derby
Stacks103
Followers22
Votes0
GitHub Stars369
Forks141

MapD vs Apache Derby: What are the differences?

What is MapD? Open source GPU-Powered Database. Interactively query and visualize massive datasets with the parallel power of GPUs.

What is Apache Derby? 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.

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

Some of the features offered by MapD are:

  • SQL
  • GPU-powered
  • column store

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

MapD and Apache Derby are both open source tools. It seems that MapD with 2.18K GitHub stars and 308 forks on GitHub has more adoption than Apache Derby with 215 GitHub stars and 109 GitHub forks.

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Detailed Comparison

MapD
MapD
Apache Derby
Apache Derby

Interactively query and visualize massive datasets with the parallel power of GPUs.

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

SQL; GPU-powered; column store; fast; scalable; interactive visualization; machine learning
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
32
Stacks
103
Followers
24
Followers
22
Votes
4
Votes
0
Pros & Cons
Pros
  • 3
    Super fast, and the approach taken
  • 1
    Hehe
No community feedback yet
Integrations
Hadoop
Hadoop
Amazon S3
Amazon S3
Apache Spark
Apache Spark
Amazon Redshift
Amazon Redshift
MySQL
MySQL
Kafka
Kafka
PostgreSQL
PostgreSQL
IBM DB2
IBM DB2
Microsoft SQL Server
Microsoft SQL Server
Oracle
Oracle
Java
Java

What are some alternatives to MapD, 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.

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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