DBMS > Hawkular Metrics vs. InterSystems Caché vs. Postgres-XL vs. Transwarp KunDB

System Properties Comparison Hawkular Metrics vs. InterSystems Caché vs. Postgres-XL vs. Transwarp KunDB

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Editorial information provided by DB-Engines
Name	Hawkular Metrics  Xexclude from comparison	InterSystems Caché  Xexclude from comparison	Postgres-XL  Xexclude from comparison	Transwarp KunDB  Xexclude from comparison
		Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
Description	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	A multi-model DBMS and application server	Based on PostgreSQL enhanced with MPP and write-scale-out cluster features	OLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database model	Time Series DBMS	Key-value store Object oriented DBMS Relational DBMS	Relational DBMS	Relational DBMS
Secondary database models		Document store	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 0.53 Rank #254   Overall #117   Relational DBMS	Score 0.14 Rank #341   Overall #149   Relational DBMS
Website	www.hawkular.org	www.intersystems.com/­products/­cache	www.postgres-xl.org	www.transwarp.cn/­en/­product/­kundb
Technical documentation	www.hawkular.org/­hawkular-metrics/­docs/­user-guide	docs.intersystems.com	www.postgres-xl.org/­documentation
Developer	Community supported by Red Hat	InterSystems		Transwarp
Initial release	2014	1997	2014 since 2012, originally named StormDB
Current release		2018.1.4, May 2020	10 R1, October 2018
License Commercial or Open Source	Open Source Apache 2.0	commercial	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
Server operating systems	Linux OS X Windows	AIX HP Open VMS HP-UX Linux OS X Solaris Windows	Linux macOS
Data scheme	schema-free	depending on used data model	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	yes	yes XML type, but no XML query functionality
Secondary indexes	no	yes	yes	yes
SQL Support of SQL	no	yes	yes distributed, parallel query execution	yes
APIs and other access methods	HTTP REST	.NET Client API JDBC ODBC RESTful HTTP API	ADO.NET JDBC native C library ODBC streaming API for large objects
Supported programming languages	Go Java Python Ruby	C# C++ Java	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl
Server-side scripts Stored procedures	no	yes	user defined functions	yes
Triggers	yes via Hawkular Alerting	yes	yes	yes
Partitioning methods Methods for storing different data on different nodes	Sharding based on Cassandra	none	horizontal partitioning	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	selectable replication factor based on Cassandra	Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Immediate Consistency	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	yes	yes	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	ACID	ACID MVCC	ACID
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	no
User concepts Access control	no	Access rights for users, groups and roles	fine grained access rights according to SQL-standard	yes
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More resources
	Hawkular Metrics	InterSystems Caché	Postgres-XL	Transwarp KunDB
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