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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. DalmatinerDB vs Firebird

DalmatinerDB vs Firebird

OverviewComparisonAlternatives

Overview

Firebird
Firebird
Stacks83
Followers121
Votes9
GitHub Stars1.4K
Forks263
DalmatinerDB
DalmatinerDB
Stacks6
Followers10
Votes1
GitHub Stars690
Forks43

DalmatinerDB vs Firebird: What are the differences?

DalmatinerDB: A fast, distributed metric store. DalmatinerDB is a no fluff purpose built metric database. Not a layer put on top of a general purpose database or datastore; Firebird: Relational database offering many ANSI SQL standard features that runs on Linux, Windows, and a variety of Unix platform. Firebird is a relational database offering many ANSI SQL standard features that runs on Linux, Windows, MacOS and a variety of Unix platforms. Firebird offers excellent concurrency, high performance, and powerful language support for stored procedures and triggers. It has been used in production systems, under a variety of names, since 1981.

DalmatinerDB and Firebird can be primarily classified as "Databases" tools.

DalmatinerDB and Firebird are both open source tools. DalmatinerDB with 696 GitHub stars and 45 forks on GitHub appears to be more popular than Firebird with 347 GitHub stars and 95 GitHub forks.

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Detailed Comparison

Firebird
Firebird
DalmatinerDB
DalmatinerDB

Firebird is a relational database offering many ANSI SQL standard features that runs on Linux, Windows, MacOS and a variety of Unix platforms. Firebird offers excellent concurrency, high performance, and powerful language support for stored procedures and triggers. It has been used in production systems, under a variety of names, since 1981.

DalmatinerDB is a no fluff purpose built metric database. Not a layer put on top of a general purpose database or datastore.

Statistics
GitHub Stars
1.4K
GitHub Stars
690
GitHub Forks
263
GitHub Forks
43
Stacks
83
Stacks
6
Followers
121
Followers
10
Votes
9
Votes
1
Pros & Cons
Pros
  • 3
    Free
  • 3
    Open-Source
  • 1
    Easy Setup
  • 1
    Great Performance
  • 1
    Upgrade from MySQL, MariaDB, PostgreSQL
Cons
  • 2
    Speed
Pros
  • 1
    Light and Fast

What are some alternatives to Firebird, DalmatinerDB?

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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