DBMS > Atos Standard Common Repository vs. Hawkular Metrics vs. Microsoft Azure Table Storage vs. TimesTen

System Properties Comparison Atos Standard Common Repository vs. Hawkular Metrics vs. Microsoft Azure Table Storage vs. TimesTen

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	Microsoft Azure Table Storage  Xexclude from comparison	TimesTen  Xexclude from comparison
	This system has been discontinued and will be removed 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 Wide Column Store for rapid development using massive semi-structured datasets	In-Memory RDBMS compatible to Oracle
Primary database model	Document store Key-value store	Time Series DBMS	Wide column store	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 4.04 Rank #77   Overall #6   Wide column stores	Score 1.36 Rank #161   Overall #75   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.hawkular.org	azure.microsoft.com/­en-us/­services/­storage/­tables	www.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentation		www.hawkular.org/­hawkular-metrics/­docs/­user-guide		docs.oracle.com/­database/­timesten-18.1
Developer	Atos Convergence Creators	Community supported by Red Hat	Microsoft	Oracle, TimesTen Performance Software, HP originally founded in HP Labs it was acquired by Oracle in 2005
Initial release	2016	2014	2012	1998
Current release	1703			11 Release 2 (11.2.2.8.0)
License Commercial or Open Source	commercial	Open Source Apache 2.0	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	Java
Server operating systems	Linux	Linux OS X Windows	hosted	AIX HP-UX Linux OS X Solaris SPARC/x86 Windows
Data scheme	Schema and schema-less with LDAP views	schema-free	schema-free	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	no	yes
SQL Support of SQL	no	no	no	yes
APIs and other access methods	LDAP	HTTP REST	RESTful HTTP API	JDBC ODBC ODP.NET Oracle Call Interface (OCI)
Supported programming languages	All languages with LDAP bindings	Go Java Python Ruby	.Net C# C++ Java JavaScript (Node.js) PHP Python Ruby	C C++ Java PL/SQL
Server-side scripts Stored procedures	no	no	no	PL/SQL
Triggers	yes	yes via Hawkular Alerting	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding based on Cassandra	Sharding Implicit feature of the cloud service	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor based on Cassandra	yes implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.	Multi-source replication Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods		no	no	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	Immediate Consistency	Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys Referential integrity	no	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	optimistic locking	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes by means of logfiles and checkpoints
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no	no	yes
User concepts Access control	LDAP bind authentication	no	Access rights based on private key authentication or shared access signatures	fine grained access rights according to SQL-standard
More information provided by the system vendor We invite representatives of system vendors to contact us for updating and extending the system information, and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.
Related products and services We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
More resources
	Atos Standard Common Repository	Hawkular Metrics	Microsoft Azure Table Storage	TimesTen
Recent citations in the news		Waiting for Red Hat OpenShift 4.0? Too late, 4.1 has already arrived… • DEVCLASS 5 June 2019, DevClass provided by Google News	Working with Azure to Use and Manage Data Lakes 7 March 2024, Simplilearn How to Use C# Azure.Data.Tables SDK with Azure Cosmos DB 9 July 2021, hackernoon.com How to use Azure Table storage in .Net 14 January 2019, InfoWorld Quick Guide to Azure Storage Pricing 16 May 2023, DevOps.com How to write data to Azure Table Store with an Azure Function 14 April 2017, Experts Exchange provided by Google News

Share this page