DBMS > Atos Standard Common Repository vs. BigObject vs. Microsoft Azure AI Search vs. OpenTSDB

System Properties Comparison Atos Standard Common Repository vs. BigObject vs. Microsoft Azure AI Search vs. OpenTSDB

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	BigObject  Xexclude from comparison	Microsoft Azure AI Search  Xexclude from comparison	OpenTSDB  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	Analytic DBMS for real-time computations and queries	Search-as-a-service for web and mobile app development	Scalable Time Series DBMS based on HBase
Primary database model	Document store Key-value store	Relational DBMS a hierachical model (tree) can be imposed	Search engine	Time Series DBMS
Secondary database models			Vector DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.19 Rank #329   Overall #146   Relational DBMS	Score 5.52 Rank #59   Overall #6   Search engines	Score 1.68 Rank #142   Overall #12   Time Series DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	bigobject.io	azure.microsoft.com/­en-us/­services/­search	opentsdb.net
Technical documentation		docs.bigobject.io	learn.microsoft.com/­en-us/­azure/­search	opentsdb.net/­docs/­build/­html/­index.html
Developer	Atos Convergence Creators	BigObject, Inc.	Microsoft	currently maintained by Yahoo and other contributors
Initial release	2016	2015	2015	2011
Current release	1703		V1
License Commercial or Open Source	commercial	commercial free community edition available	commercial	Open Source LGPL
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 distributed as a docker-image OS X distributed as a docker-image (boot2docker) Windows distributed as a docker-image (boot2docker)	hosted	Linux Windows
Data scheme	Schema and schema-less with LDAP views	yes	yes	schema-free
Typing predefined data types such as float or date	optional	yes	yes	numeric data for metrics, strings for tags
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	yes	yes	no
SQL Support of SQL	no	SQL-like DML and DDL statements	no	no
APIs and other access methods	LDAP	fluentd ODBC RESTful HTTP API	RESTful HTTP API	HTTP API Telnet API
Supported programming languages	All languages with LDAP bindings		C# Java JavaScript Python	Erlang Go Java Python R Ruby
Server-side scripts Stored procedures	no	Lua	no	no
Triggers	yes	no	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none	Sharding Implicit feature of the cloud service	Sharding based on HBase
Replication methods Methods for redundantly storing data on multiple nodes	yes	none	yes Implicit feature of the cloud service	selectable replication factor based on HBase
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	none	Immediate Consistency	Immediate Consistency based on HBase
Foreign keys Referential integrity	no	yes automatically between fact table and dimension tables	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	no	no
Concurrency Support for concurrent manipulation of data	yes	yes Read/write lock on objects (tables, trees)	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	yes	no	no
User concepts Access control	LDAP bind authentication	no	yes using Azure authentication	no
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More resources
	Atos Standard Common Repository	BigObject	Microsoft Azure AI Search	OpenTSDB
DB-Engines blog posts				Time Series DBMS are the database category with the fastest increase in popularity 4 July 2016, Matthias Gelbmann show all
Recent citations in the news			Announcing updates to Azure AI Search to help organizations build and scale generative AI applications 4 April 2024, Microsoft Microsoft and ServiceNow at Knowledge 2024: Introducing generative AI innovation 13 June 2024, Microsoft Azure OpenAI Service: Transforming legal practices with generative AI solutions 12 June 2024, Microsoft Public Preview of Azure OpenAI and AI Search in-app connectors for Logic Apps (Standard) | Azure updates 2 April 2024, Microsoft Raise the bar on AI-powered app development with Azure Database for PostgreSQL 5 June 2024, Microsoft provided by Google News	Comparing Different Time-Series Databases 10 February 2022, hackernoon.com MapR to help admins peer into dense Hadoop clusters 28 June 2016, SiliconANGLE News A real-time processing revival - O'Reilly Radar 2 April 2015, O'Reilly Radar provided by Google News

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