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

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

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Editorial information provided by DB-Engines
Name	Hawkular Metrics  Xexclude from comparison	JaguarDB  Xexclude from comparison	Percona Server for MongoDB  Xexclude from comparison	Postgres-XL  Xexclude from comparison
Description	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	Performant, highly scalable DBMS for AI and IoT applications	A drop-in replacement for MongoDB Community Edition with enterprise-grade features.	Based on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database model	Time Series DBMS	Key-value store Vector DBMS	Document store	Relational DBMS
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 0.06 Rank #381   Overall #59   Key-value stores #15   Vector DBMS	Score 0.60 Rank #246   Overall #39   Document stores	Score 0.53 Rank #254   Overall #117   Relational DBMS
Website	www.hawkular.org	www.jaguardb.com	www.percona.com/­mongodb/­software/­percona-server-for-mongodb	www.postgres-xl.org
Technical documentation	www.hawkular.org/­hawkular-metrics/­docs/­user-guide	www.jaguardb.com/­support.html	docs.percona.com/­percona-distribution-for-mongodb	www.postgres-xl.org/­documentation
Developer	Community supported by Red Hat	DataJaguar, Inc.	Percona
Initial release	2014	2015	2015	2014 since 2012, originally named StormDB
Current release		3.3 July 2023	3.4.10-2.10, November 2017	10 R1, October 2018
License Commercial or Open Source	Open Source Apache 2.0	Open Source GPL V3.0	Open Source GPL Version 2	Open Source Mozilla public license
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++ the server part. Clients available in other languages	C++	C
Server operating systems	Linux OS X Windows	Linux	Linux	Linux macOS
Data scheme	schema-free	yes	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	yes XML type, but no XML query functionality
Secondary indexes	no	yes	yes	yes
SQL Support of SQL	no	A subset of ANSI SQL is implemented but no views, foreign keys, triggers	no	yes distributed, parallel query execution
APIs and other access methods	HTTP REST	JDBC ODBC	proprietary protocol using JSON	ADO.NET JDBC native C library ODBC streaming API for large objects
Supported programming languages	Go Java Python Ruby	C C++ Go Java JavaScript (Node.js) PHP Python Ruby Scala	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
Server-side scripts Stored procedures	no	no	JavaScript	user defined functions
Triggers	yes via Hawkular Alerting	no	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding based on Cassandra	Sharding	Sharding	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	selectable replication factor based on Cassandra	Multi-source replication	Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	yes	no
Consistency concepts Methods to ensure consistency in a distributed system	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Eventual Consistency	Eventual Consistency Immediate Consistency	Immediate Consistency
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 MVCC
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	no	yes via In-Memory Engine	no
User concepts Access control	no	rights management via user accounts	Access rights for users and roles	fine grained access rights according to SQL-standard
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More resources
	Hawkular Metrics	JaguarDB	Percona Server for MongoDB	Postgres-XL
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