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

Apache Derby vs EuclidesDB

OverviewComparisonAlternatives

Overview

Apache Derby
Apache Derby
Stacks103
Followers22
Votes0
GitHub Stars369
Forks141
EuclidesDB
EuclidesDB
Stacks0
Followers2
Votes0
GitHub Stars638
Forks31

EuclidesDB vs Apache Derby: What are the differences?

EuclidesDB: Machine learning feature database tight coupled with PyTorch. It is a multi-model machine learning feature database that is tight coupled with PyTorch and provides a backend for including and querying data on the model feature space; 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.

EuclidesDB and Apache Derby belong to "Databases" category of the tech stack.

Some of the features offered by EuclidesDB are:

  • Written in C++ for performance
  • Uses protobuf for data serialization
  • Uses gRPC for communication

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

EuclidesDB and Apache Derby are both open source tools. EuclidesDB with 582 GitHub stars and 26 forks on GitHub appears to be more popular than Apache Derby with 215 GitHub stars and 109 GitHub forks.

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Detailed Comparison

Apache Derby
Apache Derby
EuclidesDB
EuclidesDB

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

It is a multi-model machine learning feature database that is tight coupled with PyTorch and provides a backend for including and querying data on the model feature space.

Small footprint; Based on the Java, JDBC, and SQL standards; Provides an embedded JDBC driver
Written in C++ for performance; Uses protobuf for data serialization; Uses gRPC for communication; LevelDB integration for database serialization; Many indexing methods implemented (Annoy, Faiss, etc); Tight PyTorch integration through libtorch; Easy integration for new custom fine-tuned models; Easy client language binding generation; Free and open-source with permissive license
Statistics
GitHub Stars
369
GitHub Stars
638
GitHub Forks
141
GitHub Forks
31
Stacks
103
Stacks
0
Followers
22
Followers
2
Votes
0
Votes
0
Integrations
Java
Java
Linux
Linux
Python
Python
LevelDB
LevelDB
PyTorch
PyTorch
macOS
macOS

What are some alternatives to Apache Derby, EuclidesDB?

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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