DBMS > Atos Standard Common Repository vs. Manticore Search vs. searchxml vs. Sequoiadb

System Properties Comparison Atos Standard Common Repository vs. Manticore Search vs. searchxml vs. Sequoiadb

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Name	Atos Standard Common Repository  Xexclude from comparison	Manticore Search  Xexclude from comparison	searchxml  Xexclude from comparison	Sequoiadb  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.	DBMS for structured and unstructured content wrapped with an application server	NewSQL database with distributed OLTP and SQL
Primary database model	Document store Key-value store	Search engine	Native XML DBMS Search engine	Document store Relational DBMS
Secondary database models		Time Series DBMS using the Manticore Columnar Library
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.29 Rank #302   Overall #21   Search engines	Score 0.03 Rank #390   Overall #7   Native XML DBMS #24   Search engines	Score 0.50 Rank #258   Overall #41   Document stores #120   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	manticoresearch.com	www.searchxml.net/­category/­products	www.sequoiadb.com
Technical documentation		manual.manticoresearch.com	www.searchxml.net/­support/­handouts	www.sequoiadb.com/­en/­index.php?m=Files&a=index
Developer	Atos Convergence Creators	Manticore Software	informationpartners gmbh	Sequoiadb Ltd.
Initial release	2016	2017	2015	2013
Current release	1703	6.0, February 2023	1.0
License Commercial or Open Source	commercial	Open Source GPL version 2	commercial	Open Source Server: AGPL; Client: Apache V2
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	C++	C++	C++
Server operating systems	Linux	FreeBSD Linux macOS Windows	Windows	Linux
Data scheme	Schema and schema-less with LDAP views	Fixed schema	schema-free	schema-free
Typing predefined data types such as float or date	optional	Int, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean	yes	yes oid, date, timestamp, binary, regex
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	yes	no
Secondary indexes	yes	yes full-text index on all search fields	yes	yes
SQL Support of SQL	no	SQL-like query language	no	SQL-like query language
APIs and other access methods	LDAP	Binary API RESTful HTTP/JSON API RESTful HTTP/SQL API SQL over MySQL	RESTful HTTP API WebDAV XQuery XSLT	proprietary protocol using JSON
Supported programming languages	All languages with LDAP bindings	Elixir Go Java JavaScript (Node.js) Perl PHP Python	C++ most other programming languages supported via APIs	.Net C++ Java PHP Python
Server-side scripts Stored procedures	no	user defined functions	yes on the application server	JavaScript
Triggers	yes	no	no	no
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	none	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	Synchronous replication based on Galera library	yes sychronisation to multiple collections	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		Immediate Consistency	Eventual Consistency
Foreign keys Referential integrity	no	no	no	no
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	multiple readers, single writer	Document is locked during a transaction
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	no
User concepts Access control	LDAP bind authentication	no	Domain, group and role-based access control at the document level and for application services	simple password-based access control
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More resources
	Atos Standard Common Repository	Manticore Search	searchxml	Sequoiadb
Recent citations in the news		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 Manticore is a Faster Alternative to Elasticsearch in C++ 25 July 2022, hackernoon.com 8 Google Alternatives: How to Search Crypto, the Dark Web, More 1 February 2023, Gizmodo Highlighting in Search Results 24 May 2020, hackernoon.com provided by Google News

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