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DBMS > FatDB vs. Firebird vs. GBase vs. Heroic vs. Ignite

System Properties Comparison FatDB vs. Firebird vs. GBase vs. Heroic vs. Ignite

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonFirebird  Xexclude from comparisonGBase  Xexclude from comparisonHeroic  Xexclude from comparisonIgnite  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Firebird is an open source RDBMS forked from Borland's InterBaseWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSTime Series DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Websitewww.firebirdsql.orgwww.gbase.cngithub.com/­spotify/­heroicignite.apache.org
Technical documentationwww.firebirdsql.org/­en/­reference-manualsspotify.github.io/­heroicapacheignite.readme.io/­docs
DeveloperFatCloudFirebird FoundationGeneral Data Technology Co., Ltd.SpotifyApache Software Foundation
Initial release20122000 infoAs fork of Borland's InterBase200420142015
Current release5.0.0, January 2024GBase 8a, GBase 8s, GBase 8cApache Ignite 2.6
License infoCommercial or Open SourcecommercialOpen Source infoInitial Developer's Public LicensecommercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#C and C++C, Java, PythonJavaC++, Java, .Net
Server operating systemsWindowsAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
LinuxLinux
OS X
Solaris
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesnoyes
Secondary indexesyesyesyesyes infovia Elasticsearchyes
SQL infoSupport of SQLno infoVia inetgration in SQL ServeryesStandard with numerous extensionsnoANSI-99 for query and DML statements, subset of DDL
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
ADO.NET
C API
JDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesC#C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C#C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infovia applicationsPSQLuser defined functionsnoyes (compute grid and cache interceptors can be used instead)
Triggersyes infovia applicationsyesyesnoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationyesyesyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsUsers with fine-grained authorization conceptyesSecurity Hooks for custom implementations

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More resources
FatDBFirebirdGBaseHeroicIgnite
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