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DBMS > Apache Phoenix vs. GeoSpock vs. Hawkular Metrics vs. PostGIS vs. XTDB

System Properties Comparison Apache Phoenix vs. GeoSpock vs. Hawkular Metrics vs. PostGIS vs. XTDB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonGeoSpock  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonPostGIS  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseSpatial and temporal data processing engine for extreme data scaleHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Spatial extension of PostgreSQLA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSRelational DBMSTime Series DBMSSpatial DBMSDocument store
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitephoenix.apache.orggeospock.comwww.hawkular.orgpostgis.netgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationphoenix.apache.orgwww.hawkular.org/­hawkular-metrics/­docs/­user-guidepostgis.net/­documentationwww.xtdb.com/­docs
DeveloperApache Software FoundationGeoSpockCommunity supported by Red HatJuxt Ltd.
Initial release2014201420052019
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.0, September 20193.4.2, February 20241.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoGPL v2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, JavascriptJavaCClojure
Server operating systemsLinux
Unix
Windows
hostedLinux
OS X
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes, extensible-data-notation format
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.nononoyesno
Secondary indexesyestemporal, categoricalnoyesyes
SQL infoSupport of SQLyesANSI SQL for query only (using Presto)noyeslimited SQL, making use of Apache Calcite
APIs and other access methodsJDBCJDBCHTTP RESTHTTP REST
JDBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Go
Java
Python
Ruby
Clojure
Java
Server-side scripts infoStored proceduresuser defined functionsnonouser defined functionsno
Triggersnonoyes infovia Hawkular Alertingyesno
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingSharding infobased on Cassandrayes infobased on PostgreSQLnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infobased on Cassandrayes infobased on PostgreSQLyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users can be defined per tablenoyes infobased on PostgreSQL

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More resources
Apache PhoenixGeoSpockHawkular MetricsPostGISXTDB infoformerly named Crux
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