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

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

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	Hawkular Metrics  Xexclude from comparison	Percona Server for MongoDB  Xexclude from comparison	Postgres-XL  Xexclude from comparison	Transbase  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	A resource-optimized, high-performance, universally applicable RDBMS
Primary database model	Time Series DBMS	Document store	Relational DBMS	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 0.60 Rank #246   Overall #39   Document stores	Score 0.53 Rank #254   Overall #117   Relational DBMS	Score 0.17 Rank #334   Overall #148   Relational DBMS
Website	www.hawkular.org	www.percona.com/­mongodb/­software/­percona-server-for-mongodb	www.postgres-xl.org	www.transaction.de/­en/­products/­transbase.html
Technical documentation	www.hawkular.org/­hawkular-metrics/­docs/­user-guide	docs.percona.com/­percona-distribution-for-mongodb	www.postgres-xl.org/­documentation	www.transaction.de/­en/­products/­transbase/­features.html
Developer	Community supported by Red Hat	Percona		Transaction Software GmbH
Initial release	2014	2015	2014 since 2012, originally named StormDB	1987
Current release		3.4.10-2.10, November 2017	10 R1, October 2018	Transbase 8.3, 2022
License Commercial or Open Source	Open Source Apache 2.0	Open Source GPL Version 2	Open Source Mozilla public license	commercial free development 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++	C	C and C++
Server operating systems	Linux OS X Windows	Linux	Linux macOS	FreeBSD Linux macOS Solaris Windows
Data scheme	schema-free	schema-free	yes	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	yes XML type, but no XML query functionality	no
Secondary indexes	no	yes	yes	yes
SQL Support of SQL	no	no	yes distributed, parallel query execution	yes
APIs and other access methods	HTTP REST	proprietary protocol using JSON	ADO.NET JDBC native C library ODBC streaming API for large objects	ADO.NET JDBC ODBC Proprietary native API
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 C# C++ Java JavaScript Kotlin Objective-C PHP Python
Server-side scripts Stored procedures	no	JavaScript	user defined functions	yes
Triggers	yes via Hawkular Alerting	no	yes	yes
Partitioning methods Methods for storing different data on different nodes	Sharding based on Cassandra	Sharding	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	selectable replication factor based on Cassandra	Source-replica replication		Source-replica replication
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	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	no	ACID MVCC	yes
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	fine grained access rights according to SQL-standard
More information provided by the system vendor We invite representatives of system vendors to contact us for updating and extending the system information, and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.
Related products and services We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
More resources
	Hawkular Metrics	Percona Server for MongoDB	Postgres-XL	Transbase
Recent citations in the news	Waiting for Red Hat OpenShift 4.0? Too late, 4.1 has already arrived… • DEVCLASS 5 June 2019, DevClass provided by Google News	MongoDB Performance Tuning 23 May 2024, Database Trends and Applications Why Isn't the World Upgrading Its Databases? 25 March 2024, The New Stack FerretDB goes GA: Gives you MongoDB, without the MongoDB... 15 May 2023, The Stack The essential guide to MongoDB security 2 February 2017, InfoWorld Open-source developers under corporate pressure to adopt less-permissive licenses, Percona CEO says 13 May 2021, The Register provided by Google News

Share this page