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

Apache Derby vs HarperDB

OverviewComparisonAlternatives

Overview

Apache Derby
Apache Derby
Stacks103
Followers22
Votes0
GitHub Stars369
Forks141
HarperDB
HarperDB
Stacks6
Followers18
Votes9

HarperDB vs Apache Derby: What are the differences?

HarperDB: HarperDB's data platform connects & distributes data, regardless of source to enable real-time insights & decisioning. HarperDB helps companies create operational data pipelines from edge to cloud & all points in between for data orchestration, solving problems such as remote asset management, data integration of OT and IT systems, & many other use cases

; 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.

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

Some of the features offered by HarperDB are:

  • Edge to Cloud Availability
  • Hybrid Cloud Capabilities
  • Database as a Microservice

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

Apache Derby
Apache Derby
HarperDB
HarperDB

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

Harper takes the "stack" out of "tech stack" by combining data storage, caching, application, and messaging functions into a single technology to achieve unmatched global low latency, simplicity, and cost performance at scale.

Small footprint; Based on the Java, JDBC, and SQL standards; Provides an embedded JDBC driver
Cloud; Edge Computing; On Prem; Globally Distributed; Custom Functions; Database-as-a-service; Hybrid Cloud; Clustering and Replication; Fully-Indexed; Dynamic Schema; Small Footprint; SQL Query Engine; Full NoSQL Capabilities; Configurable Table-Level Pub/Sub; Built In API with Single End Point; Role Based Security; User Friendly Management Studio; Industry Standard Interfaces & Drivers;
Statistics
GitHub Stars
369
GitHub Stars
-
GitHub Forks
141
GitHub Forks
-
Stacks
103
Stacks
6
Followers
22
Followers
18
Votes
0
Votes
9
Pros & Cons
No community feedback yet
Pros
  • 2
    Data api
  • 1
    Flexibility
  • 1
    Distribution capabilities
  • 1
    Cost efficient
  • 1
    Performance
Integrations
Java
Java
Node.js
Node.js
GraphQL
GraphQL
Docker
Docker
.NET
.NET
Kubernetes
Kubernetes
Amazon S3
Amazon S3
React.js Boilerplate
React.js Boilerplate
uWebSockets
uWebSockets
Python
Python
Rust
Rust

What are some alternatives to Apache Derby, HarperDB?

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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