DBMS > ArcadeDB vs. Atos Standard Common Repository vs. Manticore Search vs. OrigoDB

System Properties Comparison ArcadeDB vs. Atos Standard Common Repository vs. Manticore Search vs. OrigoDB

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Name	ArcadeDB  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	Manticore Search  Xexclude from comparison	OrigoDB  Xexclude from comparison
		This system has been discontinued and will be removed from the DB-Engines ranking.
Description	Fast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewritten	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.	A fully ACID in-memory object graph database
Primary database model	Document store Graph DBMS Key-value store Time Series DBMS in next version	Document store Key-value store	Search engine	Document store Object oriented 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 0.10 Rank #358   Overall #48   Document stores #38   Graph DBMS #52   Key-value stores #35   Time Series DBMS		Score 0.29 Rank #302   Overall #21   Search engines	Score 0.06 Rank #380   Overall #50   Document stores #18   Object oriented DBMS
Website	arcadedb.com	atos.net/en/convergence-creators/portfolio/standard-common-repository	manticoresearch.com	origodb.com
Technical documentation	docs.arcadedb.com		manual.manticoresearch.com	origodb.com/­docs
Developer	Arcade Data	Atos Convergence Creators	Manticore Software	Robert Friberg et al
Initial release	2021	2016	2017	2009 under the name LiveDB
Current release	September 2021	1703	6.0, February 2023
License Commercial or Open Source	Open Source Apache Version 2.0	commercial	Open Source GPL version 2	Open Source
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	Java	C++	C#
Server operating systems	All OS with a Java VM	Linux	FreeBSD Linux macOS Windows	Linux Windows
Data scheme	schema-free	Schema and schema-less with LDAP views	Fixed schema	yes
Typing predefined data types such as float or date	yes	optional	Int, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean	User defined using .NET types and collections
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.	no	yes	Can index from XML	no can be achieved using .NET
Secondary indexes	yes	yes	yes full-text index on all search fields	yes
SQL Support of SQL	SQL-like query language, no joins	no	SQL-like query language	no
APIs and other access methods	JDBC MongoDB API OpenCypher PostgreSQL wire protocol Redis API RESTful HTTP/JSON API TinkerPop Gremlin	LDAP	Binary API RESTful HTTP/JSON API RESTful HTTP/SQL API SQL over MySQL	.NET Client API HTTP API LINQ
Supported programming languages	Java	All languages with LDAP bindings	Elixir Go Java JavaScript (Node.js) Perl PHP Python	.Net
Server-side scripts Stored procedures		no	user defined functions	yes
Triggers		yes	no	yes Domain Events
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 client side managed; servers are not synchronized
Replication methods Methods for redundantly storing data on multiple nodes	Source-replica replication	yes	Synchronous replication based on Galera library	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	Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys Referential integrity	yes relationship in graphs	no	no	depending on model
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	Atomic execution of specific operations	yes isolated transactions for atomic changes and binary logging for safe writes	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes The original contents of fields are not stored in the Manticore index.	yes Write ahead log
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.		yes		yes
User concepts Access control		LDAP bind authentication	no	Role based authorization
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More resources
	ArcadeDB	Atos Standard Common Repository	Manticore Search	OrigoDB
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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