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DBMS > Firebird vs. GridGain vs. Hazelcast vs. Hyprcubd vs. UniData,UniVerse

System Properties Comparison Firebird vs. GridGain vs. Hazelcast vs. Hyprcubd vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameFirebird  Xexclude from comparisonGridGain  Xexclude from comparisonHazelcast  Xexclude from comparisonHyprcubd  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionFirebird is an open source RDBMS forked from Borland's InterBaseGridGain is an in-memory computing platform, built on Apache IgniteA widely adopted in-memory data gridServerless Time Series DBMSMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelRelational DBMSKey-value store
Relational DBMS
Key-value storeTime Series DBMSMultivalue DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score24.94
Rank#32  Overall
#19  Relational DBMS
Score2.08
Rank#125  Overall
#25  Key-value stores
#61  Relational DBMS
Score10.70
Rank#47  Overall
#5  Key-value stores
Score4.44
Rank#85  Overall
#2  Multivalue DBMS
Websitewww.firebirdsql.orgwww.gridgain.comhazelcast.comhyprcubd.com/ (offline)www.rocketsoftware.com/­products/­rocket-u2
Technical documentationwww.firebirdsql.org/­en/­reference-manualswww.gridgain.com/­docs/­latesthazelcast.org/­imdg/­docswww.rocketsoftware.com/­products/­rocket-u2/­documentation
DeveloperFirebird FoundationGridGain Systems, Inc.HazelcastHyprcubd, Inc.Rocket Software
Initial release2000 infoAs fork of Borland's InterBase200720081985
Current release4.0.1, December 2021GridGain 8.5.15.1, March 2022
License infoCommercial or Open SourceOpen Source infoInitial Developer's Public LicensecommercialOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++Java, C++, .NetJavaGoC
Server operating systemsAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
OS X
Solaris
Windows
All OS with a Java VMhostedAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infotime, int, uint, float, stringoptional
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.yesyes infothe object must implement a serialization strategyno
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyesANSI-99 for query and DML statements, subset of DDLSQL-like query languageSQL-like query languageyes
APIs and other access methodsADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JCache
JPA
Memcached protocol
RESTful HTTP API
gRPC (https)Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresPSQLyes (compute grid and cache interceptors can be used instead)yes infoEvent Listeners, Executor Servicesnoyes
Triggersyesyes (cache interceptors and events)yes infoEventsnoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoavailable via 3rd party productsyes (replicated cache)yes infoReplicated MapSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)yesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDone or two-phase-commit; repeatable reads; read commitednoACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyesnoyes
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.yesyesno
User concepts infoAccess controlUsers with fine-grained authorization conceptSecurity Hooks for custom implementationsRole-based access controltoken accessAccess rights according to SQL-standard and operating system based

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More resources
FirebirdGridGainHazelcastHyprcubdUniData,UniVerse
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