DBMS > Atos Standard Common Repository vs. Hawkular Metrics vs. HugeGraph vs. SAP Advantage Database Server

System Properties Comparison Atos Standard Common Repository vs. Hawkular Metrics vs. HugeGraph vs. SAP Advantage Database Server

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	HugeGraph  Xexclude from comparison	SAP Advantage Database Server former name: Sybase ADS  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.			SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	A fast-speed and highly-scalable Graph DBMS	Low-cost RDBMS with access to ISAM and FoxPro data structures
Primary database model	Document store Key-value store	Time Series DBMS	Graph DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 0.17 Rank #335   Overall #31   Graph DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.hawkular.org	github.com/­hugegraph hugegraph.apache.org	www.sap.com/products/advantage-database-server.html
Technical documentation		www.hawkular.org/­hawkular-metrics/­docs/­user-guide	hugegraph.apache.org/­docs
Developer	Atos Convergence Creators	Community supported by Red Hat	Baidu	Sybase, SAP
Initial release	2016	2014	2018	1993
Current release	1703		0.9
License Commercial or Open Source	commercial	Open Source Apache 2.0	Open Source Apache Version 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	Java	Java
Server operating systems	Linux	Linux OS X Windows	Linux macOS Unix	Linux Windows
Data scheme	Schema and schema-less with LDAP views	schema-free	yes	yes
Typing predefined data types such as float or date	optional	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.	yes	no	no	no
Secondary indexes	yes	no	yes also supports composite index and range index	yes
SQL Support of SQL	no	no	no	yes
APIs and other access methods	LDAP	HTTP REST	Java API RESTful HTTP API TinkerPop Gremlin	.NET Client API ADO.NET JDBC ODBC OLE DB
Supported programming languages	All languages with LDAP bindings	Go Java Python Ruby	Groovy Java Python	Delphi Perl PHP
Server-side scripts Stored procedures	no	no	asynchronous Gremlin script jobs	yes
Triggers	yes	yes via Hawkular Alerting	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding based on Cassandra	yes depending on used storage backend, e.g. Cassandra and HBase	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor based on Cassandra	yes depending on used storage backend, e.g. Cassandra and HBase	Multi-source replication CONFLICT Trigger to resolve replication conflicts Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods		no	via hugegraph-spark	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Eventual Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no	yes edges in graph	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	ACID	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.	yes	no	yes	no caching of (temporary) tables can be configured
User concepts Access control	LDAP bind authentication	no	Users, roles and permissions	fine grained access rights according to SQL-standard
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More resources
	Atos Standard Common Repository	Hawkular Metrics	HugeGraph	SAP Advantage Database Server former name: Sybase ADS
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