DBMS > Hawkular Metrics vs. Percona Server for MongoDB vs. Postgres-XL vs. searchxml

System Properties Comparison Hawkular Metrics vs. Percona Server for MongoDB vs. Postgres-XL vs. searchxml

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Editorial information provided by DB-Engines
Name	Hawkular Metrics  Xexclude from comparison	Percona Server for MongoDB  Xexclude from comparison	Postgres-XL  Xexclude from comparison	searchxml  Xexclude from comparison
Description	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.	Based on PostgreSQL enhanced with MPP and write-scale-out cluster features	DBMS for structured and unstructured content wrapped with an application server
Primary database model	Time Series DBMS	Document store	Relational DBMS	Native XML DBMS Search engine
Secondary database models			Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 0.60 Rank #246   Overall #39   Document stores	Score 0.53 Rank #254   Overall #117   Relational DBMS	Score 0.03 Rank #390   Overall #7   Native XML DBMS #24   Search engines
Website	www.hawkular.org	www.percona.com/­mongodb/­software/­percona-server-for-mongodb	www.postgres-xl.org	www.searchxml.net/­category/­products
Technical documentation	www.hawkular.org/­hawkular-metrics/­docs/­user-guide	docs.percona.com/­percona-distribution-for-mongodb	www.postgres-xl.org/­documentation	www.searchxml.net/­support/­handouts
Developer	Community supported by Red Hat	Percona		informationpartners gmbh
Initial release	2014	2015	2014 since 2012, originally named StormDB	2015
Current release		3.4.10-2.10, November 2017	10 R1, October 2018	1.0
License Commercial or Open Source	Open Source Apache 2.0	Open Source GPL Version 2	Open Source Mozilla public license	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	Java	C++	C	C++
Server operating systems	Linux OS X Windows	Linux	Linux macOS	Windows
Data scheme	schema-free	schema-free	yes	schema-free
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	yes XML type, but no XML query functionality	yes
Secondary indexes	no	yes	yes	yes
SQL Support of SQL	no	no	yes distributed, parallel query execution	no
APIs and other access methods	HTTP REST	proprietary protocol using JSON	ADO.NET JDBC native C library ODBC streaming API for large objects	RESTful HTTP API WebDAV XQuery XSLT
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	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl	C++ most other programming languages supported via APIs
Server-side scripts Stored procedures	no	JavaScript	user defined functions	yes on the application server
Triggers	yes via Hawkular Alerting	no	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding based on Cassandra	Sharding	horizontal partitioning	none
Replication methods Methods for redundantly storing data on multiple nodes	selectable replication factor based on Cassandra	Source-replica replication		yes sychronisation to multiple collections
MapReduce Offers an API for user-defined Map/Reduce methods	no	yes	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Eventual Consistency Immediate Consistency	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	no	ACID MVCC	multiple readers, single writer
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	yes via In-Memory Engine	no	no
User concepts Access control	no	Access rights for users and roles	fine grained access rights according to SQL-standard	Domain, group and role-based access control at the document level and for application services
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More resources
	Hawkular Metrics	Percona Server for MongoDB	Postgres-XL	searchxml
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