DBMS > Firebird vs. Sphinx vs. Splice Machine

System Properties Comparison Firebird vs. Sphinx vs. Splice Machine

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Editorial information provided by DB-Engines

Name

Description

Firebird is an open source RDBMS forked from Borland's InterBase

Open source search engine for searching in data from different sources, e.g. relational databases

Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark

Primary database model

Relational DBMS

Search engine

Relational DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	22.75
Rank	#30	Overall
	#17	Relational DBMS

Score	6.43
Rank	#60	Overall
	#7	Search engines

Score	0.88
Rank	#181	Overall
	#92	Relational DBMS

Website

www.firebirdsql.org

sphinxsearch.com

splicemachine.com

Technical documentation

www.firebirdsql.org/en/reference-manuals

sphinxsearch.com/docs

doc.splicemachine.com

Developer

Firebird Foundation

Sphinx Technologies Inc.

Splice Machine

Initial release

2000

As fork of Borland's InterBase

2001

2014

Current release

3.0.7 , October 2020

3.3.1, July 2020

2.0

License

Commercial or Open Source

Open Source

Initial Developer's Public License

Open Source

GPL version 2, commercial licence available

Open Source

AGPL 3.0, commercial license available

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C and C++

C++

Java

Server operating systems

AIX
FreeBSD
HP-UX
Linux
OS X
server-less

Firebird Embedded Server
Solaris
Unix
Windows

FreeBSD
Linux
NetBSD
OS X
Solaris
Windows

Linux
OS X
Solaris
Windows

Data scheme

yes

Typing

predefined data types such as float or date

yes

Secondary indexes

yes

full-text index on all search fields

yes

SQL

Support of SQL

yes

SQL-like query language (SphinxQL)

yes

APIs and other access methods

ADO.NET
C/C++ API
JDBC

Jaybird
ODBC
OLE DB

Proprietary protocol

JDBC
Native Spark Datasource
ODBC

Supported programming languages

C
C#
C++
Delphi
Java
JavaScript

Node.js
Lua
Perl
PHP
Python
Ruby

C++

unofficial client library
Java
Perl

unofficial client library
PHP
Python
Ruby

unofficial client library

C#
C++
Java
JavaScript (Node.js)
Python
R
Scala

Server-side scripts

Stored procedures

PSQL

yes

Java

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Partitioning is done manually, search queries against distributed index is supported

Shared Nothhing Auto-Sharding, Columnar Partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

available via 3rd party products

none

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Yes, via Full Spark Integration

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes

Features a multi-generational MVCC architecture, readers do not block writers

yes

yes, multi-version concurrency control (MVCC)

Durability

Support for making data persistent

yes

The original contents of fields are not stored in the Sphinx index.

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Users with fine-grained authorization concept

Access rights for users, groups and roles according to SQL-standard

More information provided by the system vendor

Specific characteristics

THE ONLY SCALE-OUT SQL RDBMS WITH BUILT-IN MACHINE LEARNING For data-rich, real-time...
» more

Competitive advantages

Operational Workloads: Full ACID support with high performance at scale Multi-row...
» more

Typical application scenarios

New AI/ML and IoT Applications Data Warehouse Offloads Application Modernization...
» more

Licensing and pricing models

Kubernetes Community Edition: https://hub.helm.sh/charts/splicemachine/splice-helm...
» more

News

Three Ways to Talk Machine Learning with Splice Machine in January
6 January 2021

How To Get Real-Time Analytics By Consolidating Databases
21 May 2020

How to Cut Costs and Digitally Transform
1 May 2020

How To Migrate A Legacy SQL Application To The Cloud With AI
10 March 2020

Building Production-Ready Machine Learning Models
4 March 2020

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Related products and services

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More resources

DB-Engines blog posts

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