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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Firebird vs Microsoft SQL Server vs NuoDB

Firebird vs Microsoft SQL Server vs NuoDB

OverviewDecisionsComparisonAlternatives

Overview

Microsoft SQL Server
Microsoft SQL Server
Stacks21.3K
Followers15.5K
Votes540
Firebird
Firebird
Stacks83
Followers121
Votes9
GitHub Stars1.4K
Forks263
NuoDB
NuoDB
Stacks9
Followers25
Votes0

Firebird vs Microsoft SQL Server vs NuoDB: What are the differences?

<Firebird, Microsoft SQL Server, and NuoDB are three popular relational database management systems with their own strengths and weaknesses. Here are the key differences between Firebird, Microsoft SQL Server, and NuoDB>

  1. Architecture: Firebird is an open-source relational database management system that follows a client-server architecture, while Microsoft SQL Server is proprietary and also follows a client-server architecture. NuoDB, on the other hand, uses a distributed architecture where nodes communicate peer-to-peer.

  2. Licensing: Firebird is distributed under the Initial Developer’s Public License (IDPL) which is similar to the Mozilla Public License, making it free to use and modify. Microsoft SQL Server, being proprietary, requires a license for use. NuoDB also requires a commercial license for enterprise use but offers a free community edition for smaller deployments.

  3. Scalability: Firebird is limited in terms of scalability and is more suitable for smaller workloads. Microsoft SQL Server provides good scalability options with features like AlwaysOn availability groups for high availability and failover. NuoDB is designed for cloud-native applications and offers elastic scalability by adding nodes to the network.

  4. SQL Compatibility: Both Firebird and Microsoft SQL Server support ANSI SQL standards with slight variations, while NuoDB supports SQL standards but may require adjustments due to its distributed nature and unique SQL processing.

  5. Transaction Isolation Levels: Firebird and Microsoft SQL Server support various transaction isolation levels, including READ COMMITTED and SERIALIZABLE. NuoDB, on the other hand, provides a multi-version concurrency control (MVCC) mechanism for transactions that enables higher levels of isolation and concurrency.

  6. High Availability: Microsoft SQL Server offers features like failover clustering and AlwaysOn availability groups for high availability and disaster recovery. Firebird lacks built-in high availability features, while NuoDB provides continuous availability through its distributed architecture and automatic failover capabilities.

In Summary, Firebird, Microsoft SQL Server, and NuoDB differ in terms of architecture, licensing, scalability, SQL compatibility, transaction isolation levels, and high availability features.

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Advice on Microsoft SQL Server, Firebird, NuoDB

Erin
Erin

IT Specialist

Mar 10, 2020

Needs adviceonMicrosoft SQL ServerMicrosoft SQL ServerMySQLMySQLPostgreSQLPostgreSQL

I am a Microsoft SQL Server programmer who is a bit out of practice. I have been asked to assist on a new project. The overall purpose is to organize a large number of recordings so that they can be searched. I have an enormous music library but my songs are several hours long. I need to include things like time, date and location of the recording. I don't have a problem with the general database design. I have two primary questions:

  1. I need to use either @{MySQL}|tool:1025| or @{PostgreSQL}|tool:1028| on a @{Linux}|tool:10483| based OS. Which would be better for this application?
  2. I have not dealt with a sound based data type before. How do I store that and put it in a table? Thank you.
668k views668k
Comments

Detailed Comparison

Microsoft SQL Server
Microsoft SQL Server
Firebird
Firebird
NuoDB
NuoDB

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

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.

NuoDB’s continuously available, ACID-compliant, SQL database delivers on-demand capacity on commodity hardware across multiple data centers.

Statistics
GitHub Stars
-
GitHub Stars
1.4K
GitHub Stars
-
GitHub Forks
-
GitHub Forks
263
GitHub Forks
-
Stacks
21.3K
Stacks
83
Stacks
9
Followers
15.5K
Followers
121
Followers
25
Votes
540
Votes
9
Votes
0
Pros & Cons
Pros
  • 139
    Reliable and easy to use
  • 101
    High performance
  • 95
    Great with .net
  • 65
    Works well with .net
  • 56
    Easy to maintain
Cons
  • 4
    Expensive Licensing
  • 2
    Microsoft
  • 1
    The maximum number of connections is only 14000 connect
  • 1
    Replication can loose the data
  • 1
    Allwayon can loose data in asycronious mode
Pros
  • 3
    Open-Source
  • 3
    Free
  • 1
    Upgrade from MySQL, MariaDB, PostgreSQL
  • 1
    Easy Setup
  • 1
    Great Performance
Cons
  • 2
    Speed
No community feedback yet

What are some alternatives to Microsoft SQL Server, Firebird, NuoDB?

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.

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.

InfluxDB

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

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