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DBMS > Hawkular Metrics vs. Hazelcast vs. OrigoDB vs. SQLite

System Properties Comparison Hawkular Metrics vs. Hazelcast vs. OrigoDB vs. SQLite

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonHazelcast  Xexclude from comparisonOrigoDB  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A widely adopted in-memory data gridA fully ACID in-memory object graph databaseWidely used embeddable, in-process RDBMS
Primary database modelTime Series DBMSKey-value storeDocument store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score114.32
Rank#10  Overall
#7  Relational DBMS
Websitewww.hawkular.orghazelcast.comorigodb.comwww.sqlite.org
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidehazelcast.org/­imdg/­docsorigodb.com/­docswww.sqlite.org/­docs.html
DeveloperCommunity supported by Red HatHazelcastRobert Friberg et alDwayne Richard Hipp
Initial release201420082009 infounder the name LiveDB2000
Current release5.3.6, November 20233.45.3  (15 April 2024), April 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availableOpen SourceOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC#C
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
Windows
server-less
Data schemeschema-freeschema-freeyesyes infodynamic column types
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyes infonot rigid because of 'dynamic typing' concept.
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 strategyno infocan be achieved using .NETno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like query languagenoyes infoSQL-92 is not fully supported
APIs and other access methodsHTTP RESTJCache
JPA
Memcached protocol
RESTful HTTP API
.NET Client API
HTTP API
LINQ
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesGo
Java
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.NetActionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Servicesyesno
Triggersyes infovia Hawkular Alertingyes infoEventsyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardinghorizontal partitioning infoclient side managed; servers are not synchronizednone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes infoReplicated MapSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
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 integritynonodepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoone or two-phase-commit; repeatable reads; read commitedACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locks
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlnoRole-based access controlRole based authorizationno

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Hawkular MetricsHazelcastOrigoDBSQLite
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