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DBMS > Firebird vs. GridGain vs. Hawkular Metrics vs. Oracle Rdb vs. WakandaDB

System Properties Comparison Firebird vs. GridGain vs. Hawkular Metrics vs. Oracle Rdb vs. WakandaDB

Editorial information provided by DB-Engines
NameFirebird  Xexclude from comparisonGridGain  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonOracle Rdb  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionFirebird is an open source RDBMS forked from Borland's InterBaseGridGain is an in-memory computing platform, built on Apache IgniteHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSKey-value store
Relational DBMS
Time Series DBMSRelational DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.firebirdsql.orgwww.gridgain.comwww.hawkular.orgwww.oracle.com/­database/­technologies/­related/­rdb.htmlwakanda.github.io
Technical documentationwww.firebirdsql.org/­en/­reference-manualswww.gridgain.com/­docs/­index.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlwakanda.github.io/­doc
DeveloperFirebird FoundationGridGain Systems, Inc.Community supported by Red HatOracle, originally developed by Digital Equipment Corporation (DEC)Wakanda SAS
Initial release2000 infoAs fork of Borland's InterBase2007201419842012
Current release5.0.0, January 2024GridGain 8.5.17.4.1.1, 20212.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoInitial Developer's Public LicensecommercialOpen Source infoApache 2.0commercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++Java, C++, .NetJavaC++, JavaScript
Server operating systemsAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
HP Open VMSLinux
OS X
Windows
Data schemeyesyesschema-freeFlexible Schema (defined schema, partial schema, schema free)yes
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.yesnonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesANSI-99 for query and DML statements, subset of DDLnoyesno
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
HTTP RESTRESTful HTTP API
Supported programming languagesC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
Go
Java
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresPSQLyes (compute grid and cache interceptors can be used instead)noyes
Triggersyesyes (cache interceptors and events)yes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes (replicated cache)selectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyesyesyes
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.yesnonono
User concepts infoAccess controlUsers with fine-grained authorization conceptSecurity Hooks for custom implementationsnoyes

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More resources
FirebirdGridGainHawkular MetricsOracle RdbWakandaDB
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