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DBMS > Apache Phoenix vs. GeoMesa vs. GeoSpock

System Properties Comparison Apache Phoenix vs. GeoMesa vs. GeoSpock

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonGeoMesa  Xexclude from comparisonGeoSpock  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 HBaseGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Spatial and temporal data processing engine for extreme data scale
Primary database modelRelational DBMSSpatial DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#126  Overall
#59  Relational DBMS
Score0.80
Rank#208  Overall
#4  Spatial DBMS
Websitephoenix.apache.orgwww.geomesa.orggeospock.com
Technical documentationphoenix.apache.orgwww.geomesa.org/­documentation/­stable/­user/­index.html
DeveloperApache Software FoundationCCRi and othersGeoSpock
Initial release20142014
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20195.0.0, May 20242.0, September 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaJava, Javascript
Server operating systemsLinux
Unix
Windows
hosted
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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
Secondary indexesyesyestemporal, categorical
SQL infoSupport of SQLyesnoANSI SQL for query only (using Presto)
APIs and other access methodsJDBCJDBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresuser defined functionsnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingdepending on storage layerAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
depending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistencydepending on storage layerImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesdepending on storage layerno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyyes infodepending on the DBMS used for storageAccess rights for users can be defined per table

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More resources
Apache PhoenixGeoMesaGeoSpock
DB-Engines blog posts

Cloudera's HBase PaaS offering now supports Complex Transactions
11 August 2021,  Krishna Maheshwari (sponsor) 

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Recent citations in the news

Supercharge SQL on Your Data in Apache HBase with Apache Phoenix
2 June 2016, AWS Blog

Deep dive into Azure HDInsight 4.0
25 September 2018, Microsoft

Hortonworks Starts Hadoop Summit with Data Platform Update
28 June 2016, ADT Magazine

Apache Drill Adds New Data Formats
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Amazon EMR 4.7.0 – Apache Tez & Phoenix, Updates to Existing Apps
2 June 2016, AWS Blog

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2 October 2020, AlexaBlockchain

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25 October 2018, SmartCitiesWorld

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