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

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

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Editorial information provided by DB-Engines
Name	DataFS  Xexclude from comparison	DuckDB  Xexclude from comparison	Hawkular Metrics  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.	An embeddable, in-process, column-oriented SQL OLAP RDBMS	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	Low-cost RDBMS with access to ISAM and FoxPro data structures
Primary database model	Object oriented DBMS	Relational 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 4.63 Rank #69   Overall #37   Relational DBMS	Score 0.08 Rank #366   Overall #39   Time Series DBMS
Website	newdatabase.com	duckdb.org	www.hawkular.org	www.sap.com/products/advantage-database-server.html
Technical documentation	dev.mobiland.com/­Overview.xsp	duckdb.org/­docs	www.hawkular.org/­hawkular-metrics/­docs/­user-guide
Developer	Mobiland AG		Community supported by Red Hat	Sybase, SAP
Initial release	2018	2018	2014	1993
Current release	1.1.263, October 2022	1.0.0, June 2024
License Commercial or Open Source	commercial	Open Source MIT License	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		C++	Java
Server operating systems	Windows	server-less	Linux OS X 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)	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	no
Secondary indexes	no	yes	no	yes
SQL Support of SQL	no	yes	no	yes
APIs and other access methods	.NET Client API Proprietary client DLL WinRT client	Arrow Database Connectivity (ADBC) CLI Client JDBC ODBC	HTTP REST	.NET Client API ADO.NET JDBC ODBC OLE DB
Supported programming languages	.Net C C# C++ VB.Net	C C# 3rd party driver C++ Crystal 3rd party driver Go 3rd party driver Java Lisp 3rd party driver Python R Ruby 3rd party driver Rust Swift Zig 3rd party driver	Go Java Python Ruby	Delphi Perl PHP
Server-side scripts Stored procedures		no	no	yes
Triggers	no, except callback-events from server when changes happened	no	yes via Hawkular Alerting	yes
Partitioning methods Methods for storing different data on different nodes	Proprietary Sharding system	none	Sharding based on Cassandra	none
Replication methods Methods for redundantly storing data on multiple nodes		none	selectable replication factor based on Cassandra	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	Immediate Consistency	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Immediate Consistency
Foreign keys Referential integrity	yes	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	ACID	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes, multi-version concurrency control (MVCC)	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	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	DuckDB	Hawkular Metrics	SAP Advantage Database Server former name: Sybase ADS
Recent citations in the news		MotherDuck Announces General Availability; Brings Simplicity and Power of DuckDB in a Serverless Data Warehouse 11 June 2024, PR Newswire DuckDB promises greater stability with 1.0 release 5 June 2024, The Register DuckDB: The tiny but powerful analytics database 15 May 2024, InfoWorld DuckDB: In-Process Python Analytics for Not-Quite-Big Data 31 May 2024, The New Stack DuckDB Walks to the Beat of Its Own Analytics Drum 5 March 2024, Datanami provided by Google News	Waiting for Red Hat OpenShift 4.0? Too late, 4.1 has already arrived… • DEVCLASS 5 June 2019, DevClass provided by Google News	SAP Announces Q3 2023 Results: Asia Pacific and Japan View 19 October 2023, SAP News provided by Google News

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