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

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

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonOrigoDB  Xexclude from comparisonPostGIS  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A fully ACID in-memory object graph databaseSpatial extension of PostgreSQL
Primary database modelRelational DBMSTime Series DBMSDocument store
Object oriented DBMS
Spatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Websitewww.featurebase.comwww.hawkular.orgorigodb.compostgis.net
Technical documentationdocs.featurebase.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guideorigodb.com/­docspostgis.net/­documentation
DeveloperMolecula and Pilosa Open Source ContributorsCommunity supported by Red HatRobert Friberg et al
Initial release201720142009 infounder the name LiveDB2005
Current release2022, May 20223.4.2, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open 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 languageGoJavaC#C
Server operating systemsLinux
macOS
Linux
OS X
Windows
Linux
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesUser 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 SQLSQL queriesnonoyes
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
HTTP REST.NET Client API
HTTP API
LINQ
Supported programming languagesJava
Python
Go
Java
Python
Ruby
.Net
Server-side scripts infoStored proceduresnoyesuser defined functions
Triggersnoyes infovia Hawkular Alertingyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on Cassandrahorizontal partitioning infoclient side managed; servers are not synchronizedyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on CassandraSource-replica replicationyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyesnodepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlnoRole based authorizationyes infobased on PostgreSQL

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FeatureBaseHawkular MetricsOrigoDBPostGIS
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