DBMS > GeoMesa vs. Hawkular Metrics vs. Percona Server for MongoDB vs. TimesTen

System Properties Comparison GeoMesa vs. Hawkular Metrics vs. Percona Server for MongoDB vs. TimesTen

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Editorial information provided by DB-Engines
Name	GeoMesa  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	Percona Server for MongoDB  Xexclude from comparison	TimesTen  Xexclude from comparison
Description	GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	A drop-in replacement for MongoDB Community Edition with enterprise-grade features.	In-Memory RDBMS compatible to Oracle
Primary database model	Spatial DBMS	Time Series DBMS	Document store	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.86 Rank #205   Overall #4   Spatial DBMS	Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 0.60 Rank #246   Overall #39   Document stores	Score 1.36 Rank #161   Overall #75   Relational DBMS
Website	www.geomesa.org	www.hawkular.org	www.percona.com/­mongodb/­software/­percona-server-for-mongodb	www.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentation	www.geomesa.org/­documentation/­stable/­user/­index.html	www.hawkular.org/­hawkular-metrics/­docs/­user-guide	docs.percona.com/­percona-distribution-for-mongodb	docs.oracle.com/­database/­timesten-18.1
Developer	CCRi and others	Community supported by Red Hat	Percona	Oracle, TimesTen Performance Software, HP originally founded in HP Labs it was acquired by Oracle in 2005
Initial release	2014	2014	2015	1998
Current release	5.0.0, May 2024		3.4.10-2.10, November 2017	11 Release 2 (11.2.2.8.0)
License Commercial or Open Source	Open Source Apache License 2.0	Open Source Apache 2.0	Open Source GPL Version 2	commercial
Cloud-based only Only available as a cloud service	no	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Scala	Java	C++
Server operating systems		Linux OS X Windows	Linux	AIX HP-UX Linux OS X Solaris SPARC/x86 Windows
Data scheme	yes	schema-free	schema-free	yes
Typing predefined data types such as float or date	yes	yes	yes	yes
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	no	no	no	no
Secondary indexes	yes	no	yes	yes
SQL Support of SQL	no	no	no	yes
APIs and other access methods		HTTP REST	proprietary protocol using JSON	JDBC ODBC ODP.NET Oracle Call Interface (OCI)
Supported programming languages		Go Java Python Ruby	Actionscript C C# C++ Clojure ColdFusion D Dart Delphi Erlang Go Groovy Haskell Java JavaScript Lisp Lua MatLab Perl PHP PowerShell Prolog Python R Ruby Scala Smalltalk	C C++ Java PL/SQL
Server-side scripts Stored procedures	no	no	JavaScript	PL/SQL
Triggers	no	yes via Hawkular Alerting	no	no
Partitioning methods Methods for storing different data on different nodes	depending on storage layer	Sharding based on Cassandra	Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes	depending on storage layer	selectable replication factor based on Cassandra	Source-replica replication	Multi-source replication Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	yes	no	yes	no
Consistency concepts Methods to ensure consistency in a distributed system	depending on storage layer	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Eventual Consistency Immediate Consistency	Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys Referential integrity	no	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	no	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes by means of logfiles and checkpoints
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	depending on storage layer	no	yes via In-Memory Engine	yes
User concepts Access control	yes depending on the DBMS used for storage	no	Access rights for users and roles	fine grained access rights according to SQL-standard
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More resources
	GeoMesa	Hawkular Metrics	Percona Server for MongoDB	TimesTen
DB-Engines blog posts	Spatial database management systems 6 April 2021, Matthias Gelbmann show all
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