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DBMS > Firebird vs. GeoMesa vs. Realm vs. Spark SQL

System Properties Comparison Firebird vs. GeoMesa vs. Realm vs. Spark SQL

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Editorial information provided by DB-Engines
NameFirebird  Xexclude from comparisonGeoMesa  Xexclude from comparisonRealm  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionFirebird is an open source RDBMS forked from Borland's InterBaseGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSSpatial DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.firebirdsql.orgwww.geomesa.orgrealm.iospark.apache.org/­sql
Technical documentationwww.firebirdsql.org/­en/­reference-manualswww.geomesa.org/­documentation/­stable/­user/­index.htmlrealm.io/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperFirebird FoundationCCRi and othersRealm, acquired by MongoDB in May 2019Apache Software Foundation
Initial release2000 infoAs fork of Borland's InterBase201420142014
Current release5.0.0, January 20245.0.0, May 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoInitial Developer's Public LicenseOpen Source infoApache License 2.0Open SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++ScalaScala
Server operating systemsAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Android
Backend: server-less
iOS
Windows
Linux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesnonoSQL-like DML and DDL statements
APIs and other access methodsADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
JDBC
ODBC
Supported programming languagesC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
Java
Python
R
Scala
Server-side scripts infoStored proceduresPSQLnono inforuns within the applications so server-side scripts are unnecessaryno
Triggersyesnoyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesnonedepending on storage layernoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationdepending on storage layernonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryes infoIn-Memory realmno
User concepts infoAccess controlUsers with fine-grained authorization conceptyes infodepending on the DBMS used for storageyesno

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FirebirdGeoMesaRealmSpark SQL
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