DBMS > Atos Standard Common Repository vs. Manticore Search vs. Sadas Engine vs. ToroDB

System Properties Comparison Atos Standard Common Repository vs. Manticore Search vs. Sadas Engine vs. ToroDB

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Manticore Search  Xexclude from comparison	Sadas Engine  Xexclude from comparison	ToroDB  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.			ToroDB 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	Multi-storage database for search, including full-text search.	SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments	A MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database model	Document store Key-value store	Search engine	Relational DBMS	Document store
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 0.07 Rank #373   Overall #157   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	manticoresearch.com	www.sadasengine.com	github.com/­torodb/­server
Technical documentation		manual.manticoresearch.com	www.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
Developer	Atos Convergence Creators	Manticore Software	SADAS s.r.l.	8Kdata
Initial release	2016	2017	2006	2016
Current release	1703	6.0, February 2023	8.0
License Commercial or Open Source	commercial	Open Source GPL version 2	commercial free trial version available	Open Source AGPL-V3
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++	Java
Server operating systems	Linux	FreeBSD Linux macOS Windows	AIX Linux Windows	All OS with a Java 7 VM
Data scheme	Schema and schema-less with LDAP views	Fixed schema	yes	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 string, integer, double, boolean, date, object_id
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	no
Secondary indexes	yes	yes full-text index on all search fields	yes
SQL Support of SQL	no	SQL-like query language	yes
APIs and other access methods	LDAP	Binary API RESTful HTTP/JSON API RESTful HTTP/SQL API SQL over MySQL	JDBC ODBC Proprietary protocol
Supported programming languages	All languages with LDAP bindings	Elixir Go Java JavaScript (Node.js) Perl PHP Python	.Net C C# C++ Groovy Java PHP Python
Server-side scripts Stored procedures	no	user defined functions	no
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	horizontal partitioning	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	Synchronous replication based on Galera library	none	Source-replica replication
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	Eventual Consistency Immediate Consistency
Foreign keys Referential integrity	no	no	yes	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		no
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		yes managed by 'Learn by Usage'
User concepts Access control	LDAP bind authentication	no	Access rights for users, groups and roles according to SQL-standard	Access rights for users and roles
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More resources
	Atos Standard Common Repository	Manticore Search	Sadas Engine	ToroDB
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

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