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DBMS > Firebird vs. Hawkular Metrics vs. Hazelcast vs. Oracle Berkeley DB

System Properties Comparison Firebird vs. Hawkular Metrics vs. Hazelcast vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameFirebird  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHazelcast  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionFirebird is an open source RDBMS forked from Borland's InterBaseHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A widely adopted in-memory data gridWidely used in-process key-value store
Primary database modelRelational DBMSTime Series DBMSKey-value storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Websitewww.firebirdsql.orgwww.hawkular.orghazelcast.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationwww.firebirdsql.org/­en/­reference-manualswww.hawkular.org/­hawkular-metrics/­docs/­user-guidehazelcast.org/­imdg/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperFirebird FoundationCommunity supported by Red HatHazelcastOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2000 infoAs fork of Borland's InterBase201420081994
Current release5.0.0, January 20245.3.6, November 202318.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoInitial Developer's Public LicenseOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infocommercial license available
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++JavaJavaC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
OS X
Windows
All OS with a Java VMAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.noyes infothe object must implement a serialization strategyyes infoonly with the Berkeley DB XML edition
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnoSQL-like query languageyes infoSQL interfaced based on SQLite is available
APIs and other access methodsADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
HTTP RESTJCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
Go
Java
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresPSQLnoyes infoEvent Listeners, Executor Servicesno
Triggersyesyes infovia Hawkular Alertingyes infoEventsyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on Cassandrayes infoReplicated MapSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoone or two-phase-commit; repeatable reads; read commitedACID
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.noyesyes
User concepts infoAccess controlUsers with fine-grained authorization conceptnoRole-based access controlno

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More resources
FirebirdHawkular MetricsHazelcastOracle Berkeley DB
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