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DBMS > Drizzle vs. Firebird vs. GigaSpaces vs. Hawkular Metrics vs. Hazelcast

System Properties Comparison Drizzle vs. Firebird vs. GigaSpaces vs. Hawkular Metrics vs. Hazelcast

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonFirebird  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHazelcast  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Firebird 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 TransactionsHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A widely adopted in-memory data grid
Primary database modelRelational DBMSRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSKey-value store
Secondary database modelsGraph DBMS
Search engine
Document store infoJSON support with IMDG 3.12
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
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Websitewww.firebirdsql.orgwww.gigaspaces.comwww.hawkular.orghazelcast.com
Technical documentationwww.firebirdsql.org/­en/­reference-manualsdocs.gigaspaces.com/­latest/­landing.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidehazelcast.org/­imdg/­docs
DeveloperDrizzle project, originally started by Brian AkerFirebird FoundationGigaspaces TechnologiesCommunity supported by Red HatHazelcast
Initial release20082000 infoAs fork of Borland's InterBase200020142008
Current release7.2.4, September 20125.0.0, January 202415.5, September 20205.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoInitial Developer's Public LicenseOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++Java, C++, .NetJavaJava
Server operating systemsFreeBSD
Linux
OS X
AIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
macOS
Solaris
Windows
Linux
OS X
Windows
All OS with a Java VM
Data schemeyesyesschema-freeschema-freeschema-free
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.no infoXML can be used for describing objects metadatanoyes infothe object must implement a serialization strategy
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyes infowith proprietary extensionsyesSQL-99 for query and DML statementsnoSQL-like query language
APIs and other access methodsJDBCADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HTTP RESTJCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesC
C++
Java
PHP
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
.Net
C++
Java
Python
Scala
Go
Java
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoPSQLyesnoyes infoEvent Listeners, Executor Services
Triggersno infohooks for callbacks inside the server can be used.yesyes, event driven architectureyes infovia Hawkular Alertingyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
selectable replication factor infobased on Cassandrayes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyesyes
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.yesnoyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers with fine-grained authorization conceptRole-based access controlnoRole-based access control

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More resources
DrizzleFirebirdGigaSpacesHawkular MetricsHazelcast
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