DBMS > ArcadeDB vs. Atos Standard Common Repository vs. Hazelcast vs. Oracle Rdb

System Properties Comparison ArcadeDB vs. Atos Standard Common Repository vs. Hazelcast vs. Oracle Rdb

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	ArcadeDB  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	Hazelcast  Xexclude from comparison	Oracle Rdb  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	A widely adopted in-memory data grid
Primary database model	Document store Graph DBMS Key-value store Time Series DBMS in next version	Document store Key-value store	Key-value store	Relational DBMS
Secondary database models			Document store JSON support with IMDG 3.12
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 5.46 Rank #61   Overall #7   Key-value stores	Score 1.14 Rank #178   Overall #80   Relational DBMS
Website	arcadedb.com	atos.net/en/convergence-creators/portfolio/standard-common-repository	hazelcast.com	www.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentation	docs.arcadedb.com		hazelcast.org/­imdg/­docs	www.oracle.com/­database/­technologies/­related/­rdb-doc.html
Developer	Arcade Data	Atos Convergence Creators	Hazelcast	Oracle, originally developed by Digital Equipment Corporation (DEC)
Initial release	2021	2016	2008	1984
Current release	September 2021	1703	5.3.6, November 2023	7.4.1.1, 2021
License Commercial or Open Source	Open Source Apache Version 2.0	commercial	Open Source Apache Version 2; commercial licenses available	commercial
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	Java
Server operating systems	All OS with a Java VM	Linux	All OS with a Java VM	HP Open VMS
Data scheme	schema-free	Schema and schema-less with LDAP views	schema-free	Flexible Schema (defined schema, partial schema, schema free)
Typing predefined data types such as float or date	yes	optional	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.	no	yes	yes the object must implement a serialization strategy	no
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	SQL-like query language, no joins	no	SQL-like query language	yes
APIs and other access methods	JDBC MongoDB API OpenCypher PostgreSQL wire protocol Redis API RESTful HTTP/JSON API TinkerPop Gremlin	LDAP	JCache JPA Memcached protocol RESTful HTTP API
Supported programming languages	Java	All languages with LDAP bindings	.Net C# C++ Clojure Go Java JavaScript (Node.js) Python Scala
Server-side scripts Stored procedures		no	yes Event Listeners, Executor Services
Triggers		yes	yes Events
Partitioning methods Methods for storing different data on different nodes		Sharding cell division	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	Source-replica replication	yes	yes Replicated Map
MapReduce Offers an API for user-defined Map/Reduce methods	no		yes	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency or Eventual Consistency selectable by user Raft Consensus Algorithm	Immediate Consistency
Foreign keys Referential integrity	yes relationship in graphs	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	Atomic execution of specific operations	one or two-phase-commit; repeatable reads; read commited	yes, on a single node
Concurrency Support for concurrent manipulation of data	yes	yes	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
User concepts Access control		LDAP bind authentication	Role-based access control
More information provided by the system vendor We invite representatives of system vendors to contact us for updating and extending the system information, and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.
Related products and services We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
More resources
	ArcadeDB	Atos Standard Common Repository	Hazelcast	Oracle Rdb
Recent citations in the news			Hazelcast Weaves Wider Logic Threads Through The Data Fabric 7 March 2024, Forbes Hazelcast 5.4 real time data processing platform boosts AI and consistency 17 April 2024, VentureBeat Hazelcast appoints Anthony Griffin as Chief Architect - 11 June 2024, Enterprise Times Hazelcast Showcases Real-Time Data Platform at 2024 Gartner Summit 15 May 2024, Datanami Real-Time Data Platform Hazelcast Introduces New Chief Technology Officer Adrian Soars 7 November 2023, Finovate provided by Google News	Oracle Adds New AI-Enabling Features To MySQL HeatWave 23 March 2023, Forbes Should we all consolidate databases for the storage benefits? Reg vultures deploy DevOps, zoos, haircuts 18 September 2020, The Register 2013 Data Science Salary Survey – O'Reilly 4 May 2013, O'Reilly Media provided by Google News

Share this page