DBMS > Atos Standard Common Repository vs. Manticore Search vs. Microsoft Azure AI Search vs. OpenTenBase

System Properties Comparison Atos Standard Common Repository vs. Manticore Search vs. Microsoft Azure AI Search vs. OpenTenBase

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Manticore Search  Xexclude from comparison	Microsoft Azure AI Search  Xexclude from comparison	OpenTenBase  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	Multi-storage database for search, including full-text search.	Search-as-a-service for web and mobile app development	An enterprise-level distributed HTAP open source database based on PostgreSQL
Primary database model	Document store Key-value store	Search engine	Search engine	Relational DBMS
Secondary database models		Time Series DBMS using the Manticore Columnar Library	Vector DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.29 Rank #302   Overall #21   Search engines	Score 5.52 Rank #59   Overall #6   Search engines	Score 0.08 Rank #370   Overall #156   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	manticoresearch.com	azure.microsoft.com/­en-us/­services/­search	github.com/­OpenTenBase/­OpenTenBase www.opentenbase.org
Technical documentation		manual.manticoresearch.com	learn.microsoft.com/­en-us/­azure/­search	docs.opentenbase.org docs.opentenbase.org/­en
Developer	Atos Convergence Creators	Manticore Software	Microsoft	OpenAtom Foundation, previously Tencent
Initial release	2016	2017	2015
Current release	1703	6.0, February 2023	V1	2.5, January 2024
License Commercial or Open Source	commercial	Open Source GPL version 2	commercial	Open Source BSD-3
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	C++
Server operating systems	Linux	FreeBSD Linux macOS Windows	hosted	Linux
Data scheme	Schema and schema-less with LDAP views	Fixed schema	yes	yes
Typing predefined data types such as float or date	optional	Int, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean	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	Can index from XML	no
Secondary indexes	yes	yes full-text index on all search fields	yes	yes
SQL Support of SQL	no	SQL-like query language	no	yes
APIs and other access methods	LDAP	Binary API RESTful HTTP/JSON API RESTful HTTP/SQL API SQL over MySQL	RESTful HTTP API
Supported programming languages	All languages with LDAP bindings	Elixir Go Java JavaScript (Node.js) Perl PHP Python	C# Java JavaScript Python	C Go Java PHP Python
Server-side scripts Stored procedures	no	user defined functions	no
Triggers	yes	no	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding Partitioning is done manually, search queries against distributed index is supported	Sharding Implicit feature of the cloud service	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	Synchronous replication based on Galera library	yes Implicit feature of the cloud service	yes
MapReduce Offers an API for user-defined Map/Reduce methods		no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration		Immediate Consistency	Immediate Consistency
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	yes isolated transactions for atomic changes and binary logging for safe writes	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes The original contents of fields are not stored in the Manticore index.	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes		no
User concepts Access control	LDAP bind authentication	no	yes using Azure authentication	Access rights for users, groups and roles according to SQL-standard
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More resources
	Atos Standard Common Repository	Manticore Search	Microsoft Azure AI Search	OpenTenBase
Recent citations in the news		Manticore Search Now Integrates With Grafana 9 August 2023, hackernoon.com Integrating Manticore Search with Apache Superset 8 August 2023, hackernoon.com Clickhouse vs Elasticsearch vs Manticore Search Query Times With a 1.7B NYC Taxi Rides Benchmark 1 June 2022, hackernoon.com 8 Google Alternatives: How to Search Crypto, the Dark Web, More 1 February 2023, Gizmodo Manticore is a Faster Alternative to Elasticsearch in C++ 25 July 2022, hackernoon.com provided by Google 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

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