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DBMS > Hawkular Metrics vs. LMDB vs. OrigoDB vs. PostGIS

System Properties Comparison Hawkular Metrics vs. LMDB vs. OrigoDB vs. PostGIS

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonLMDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonPostGIS  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A high performant, light-weight, embedded key-value database libraryA fully ACID in-memory object graph databaseSpatial extension of PostgreSQL
Primary database modelTime Series DBMSKey-value storeDocument store
Object oriented DBMS
Spatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Websitewww.hawkular.orgwww.symas.com/­symas-embedded-database-lmdborigodb.compostgis.net
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.lmdb.tech/­docorigodb.com/­docspostgis.net/­documentation
DeveloperCommunity supported by Red HatSymasRobert Friberg et al
Initial release201420112009 infounder the name LiveDB2005
Current release0.9.32, January 20243.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open SourceOpen SourceOpen Source infoGPL v2.0
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 languageJavaCC#C
Server operating systemsLinux
OS X
Windows
Linux
Unix
Windows
Linux
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyes
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.nonono infocan be achieved using .NETyes
Secondary indexesnonoyesyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsHTTP REST.NET Client API
HTTP API
LINQ
Supported programming languagesGo
Java
Python
Ruby
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
.Net
Server-side scripts infoStored proceduresnonoyesuser defined functions
Triggersyes infovia Hawkular Alertingnoyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandranonehorizontal partitioning infoclient side managed; servers are not synchronizedyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandranoneSource-replica replicationyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonodepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesyesno
User concepts infoAccess controlnonoRole based authorizationyes infobased on PostgreSQL

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More resources
Hawkular MetricsLMDBOrigoDBPostGIS
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