DBMS > BigObject vs. Citus vs. Hawkular Metrics vs. SAP Advantage Database Server

System Properties Comparison BigObject vs. Citus vs. Hawkular Metrics vs. SAP Advantage Database Server

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Editorial information provided by DB-Engines
Name	BigObject  Xexclude from comparison	Citus  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	Analytic DBMS for real-time computations and queries	Scalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQL	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	Relational DBMS a hierachical model (tree) can be imposed	Relational DBMS	Time Series DBMS	Relational DBMS
Secondary database models		Document store
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.19 Rank #329   Overall #146   Relational DBMS	Score 2.15 Rank #117   Overall #56   Relational DBMS	Score 0.08 Rank #366   Overall #39   Time Series DBMS
Website	bigobject.io	www.citusdata.com	www.hawkular.org	www.sap.com/products/advantage-database-server.html
Technical documentation	docs.bigobject.io	docs.citusdata.com	www.hawkular.org/­hawkular-metrics/­docs/­user-guide
Developer	BigObject, Inc.		Community supported by Red Hat	Sybase, SAP
Initial release	2015	2010	2014	1993
Current release		8.1, December 2018
License Commercial or Open Source	commercial free community edition available	Open Source AGPL, commercial license also available	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	Linux distributed as a docker-image OS X distributed as a docker-image (boot2docker) Windows distributed as a docker-image (boot2docker)	Linux	Linux OS X Windows	Linux Windows
Data scheme	yes	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	yes specific XML type available, but no XML query functionality	no	no
Secondary indexes	yes	yes	no	yes
SQL Support of SQL	SQL-like DML and DDL statements	yes standard, with numerous extensions	no	yes
APIs and other access methods	fluentd ODBC RESTful HTTP API	ADO.NET JDBC native C library ODBC streaming API for large objects	HTTP REST	.NET Client API ADO.NET JDBC ODBC OLE DB
Supported programming languages		.Net C C++ Delphi Java JavaScript (Node.js) Perl PHP Python Tcl	Go Java Python Ruby	Delphi Perl PHP
Server-side scripts Stored procedures	Lua	user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.	no	yes
Triggers	no	yes	yes via Hawkular Alerting	yes
Partitioning methods Methods for storing different data on different nodes	none	Sharding	Sharding based on Cassandra	none
Replication methods Methods for redundantly storing data on multiple nodes	none	Source-replica replication other methods possible by using 3rd party extensions	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	none	Immediate Consistency	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Immediate Consistency
Foreign keys Referential integrity	yes automatically between fact table and dimension tables	yes	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	ACID	no	ACID
Concurrency Support for concurrent manipulation of data	yes Read/write lock on objects (tables, trees)	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.	yes	no	no	no caching of (temporary) tables can be configured
User concepts Access control	no	fine grained access rights according to SQL-standard	no	fine grained access rights according to SQL-standard
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More resources
	BigObject	Citus	Hawkular Metrics	SAP Advantage Database Server former name: Sybase ADS
Recent citations in the news		Ubicloud wants to build an open source alternative to AWS 5 March 2024, TechCrunch Ubicloud reels in $16M for its open-source cloud platform 5 March 2024, SiliconANGLE News Microsoft acquires Citus Data, re-affirming its commitment to Open Source and accelerating Azure PostgreSQL ... 24 January 2019, blogs.microsoft.com Distributed PostgreSQL Benchmarks: Azure Cosmos DB, CockroachDB, and YugabyteDB 8 July 2023, InfoQ.com Microsoft Benchmarks Distributed PostgreSQL DBs 10 July 2023, 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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