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DBMS > Firebird vs. GigaSpaces vs. IBM Cloudant vs. Teradata Aster

System Properties Comparison Firebird vs. GigaSpaces vs. IBM Cloudant vs. Teradata Aster

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Editorial information provided by DB-Engines
NameFirebird  Xexclude from comparisonGigaSpaces  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionFirebird is an open source RDBMS forked from Borland's InterBaseHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsDatabase as a Service offering based on Apache CouchDBPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Document storeRelational DBMS
Secondary database modelsGraph DBMS
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DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score2.68
Rank#106  Overall
#20  Document stores
Websitewww.firebirdsql.orgwww.gigaspaces.comwww.ibm.com/­products/­cloudant
Technical documentationwww.firebirdsql.org/­en/­reference-manualsdocs.gigaspaces.com/­latest/­landing.htmlcloud.ibm.com/­docs/­Cloudant
DeveloperFirebird FoundationGigaspaces TechnologiesIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Teradata
Initial release2000 infoAs fork of Borland's InterBase200020102005
Current release5.0.0, January 202415.5, September 2020
License infoCommercial or Open SourceOpen Source infoInitial Developer's Public LicenseOpen Source infoApache Version 2; Commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++Java, C++, .NetErlang
Server operating systemsAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
macOS
Solaris
Windows
hostedLinux
Data schemeyesschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesnoyes
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.no infoXML can be used for describing objects metadatanoyes infoin Aster File Store
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesSQL-99 for query and DML statementsnoyes
APIs and other access methodsADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP/JSON APIADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
.Net
C++
Java
Python
Scala
C#
Java
JavaScript
Objective-C
PHP
Ruby
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresPSQLyesView functions (Map-Reduce) in JavaScriptR packages
Triggersyesyes, event driven architectureyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication
Source-replica replication
yes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsyesyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infoatomic operations within a document possibleACID
Concurrency infoSupport for concurrent manipulation of datayes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes infoOptimistic lockingyes
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.yesnono
User concepts infoAccess controlUsers with fine-grained authorization conceptRole-based access controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standard

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More resources
FirebirdGigaSpacesIBM CloudantTeradata Aster
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