DBMS > DataFS vs. Hawkular Metrics vs. Prometheus vs. SAP Advantage Database Server

System Properties Comparison DataFS vs. Hawkular Metrics vs. Prometheus vs. SAP Advantage Database Server

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Editorial information provided by DB-Engines
Name	DataFS  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	Prometheus  Xexclude from comparison	SAP Advantage Database Server former name: Sybase ADS  Xexclude from comparison
				SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
Description	All data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	Open-source Time Series DBMS and monitoring system	Low-cost RDBMS with access to ISAM and FoxPro data structures
Primary database model	Object oriented DBMS	Time Series DBMS	Time Series DBMS	Relational DBMS
Secondary database models	Graph DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.09 Rank #360   Overall #17   Object oriented DBMS	Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 7.69 Rank #50   Overall #3   Time Series DBMS
Website	newdatabase.com	www.hawkular.org	prometheus.io	www.sap.com/products/advantage-database-server.html
Technical documentation	dev.mobiland.com/­Overview.xsp	www.hawkular.org/­hawkular-metrics/­docs/­user-guide	prometheus.io/­docs
Developer	Mobiland AG	Community supported by Red Hat		Sybase, SAP
Initial release	2018	2014	2015	1993
Current release	1.1.263, October 2022
License Commercial or Open Source	commercial	Open Source Apache 2.0	Open Source Apache 2.0	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	Go
Server operating systems	Windows	Linux OS X Windows	Linux Windows	Linux Windows
Data scheme	Classes, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)	schema-free	yes	yes
Typing predefined data types such as float or date	yes	yes	Numeric data only	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 Import of XML data possible	no
Secondary indexes	no	no	no	yes
SQL Support of SQL	no	no	no	yes
APIs and other access methods	.NET Client API Proprietary client DLL WinRT client	HTTP REST	RESTful HTTP/JSON API	.NET Client API ADO.NET JDBC ODBC OLE DB
Supported programming languages	.Net C C# C++ VB.Net	Go Java Python Ruby	.Net C++ Go Haskell Java JavaScript (Node.js) Python Ruby	Delphi Perl PHP
Server-side scripts Stored procedures		no	no	yes
Triggers	no, except callback-events from server when changes happened	yes via Hawkular Alerting	no	yes
Partitioning methods Methods for storing different data on different nodes	Proprietary Sharding system	Sharding based on Cassandra	Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes		selectable replication factor based on Cassandra	yes by Federation	Multi-source replication CONFLICT Trigger to resolve replication conflicts 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	Immediate Consistency	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	none	Immediate Consistency
Foreign keys Referential integrity	yes	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	no	no	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	no	no	no caching of (temporary) tables can be configured
User concepts Access control	Windows-Profile	no	no	fine grained access rights according to SQL-standard
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More resources
	DataFS	Hawkular Metrics	Prometheus	SAP Advantage Database Server former name: Sybase ADS
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