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DBMS > Apache Phoenix vs. GeoSpock vs. H2 vs. Prometheus vs. XTDB

System Properties Comparison Apache Phoenix vs. GeoSpock vs. H2 vs. Prometheus vs. XTDB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonGeoSpock  Xexclude from comparisonH2  Xexclude from comparisonPrometheus  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 scaleFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Open-source Time Series DBMS and monitoring systemA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMSDocument store
Secondary database modelsTime Series DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitephoenix.apache.orggeospock.comwww.h2database.comprometheus.iogithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationphoenix.apache.orgwww.h2database.com/­html/­main.htmlprometheus.io/­docswww.xtdb.com/­docs
DeveloperApache Software FoundationGeoSpockThomas MuellerJuxt Ltd.
Initial release2014200520152019
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.0, September 20192.2.220, July 20231.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache 2.0Open 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, JavascriptJavaGoClojure
Server operating systemsLinux
Unix
Windows
hostedAll OS with a Java VMLinux
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyyes, 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.nononono infoImport of XML data possibleno
Secondary indexesyestemporal, categoricalyesnoyes
SQL infoSupport of SQLyesANSI SQL for query only (using Presto)yesnolimited SQL, making use of Apache Calcite
APIs and other access methodsJDBCJDBCJDBC
ODBC
RESTful HTTP/JSON APIHTTP REST
JDBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Java.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Clojure
Java
Server-side scripts infoStored proceduresuser defined functionsnoJava Stored Procedures and User-Defined Functionsnono
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
With clustering: 2 database servers on different computers operate on identical copies of a databaseyes infoby Federationyes, 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 ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
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.yesnoyesno
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 tablefine grained access rights according to SQL-standardno

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Apache PhoenixGeoSpockH2PrometheusXTDB infoformerly named Crux
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