DBMS > ArcadeDB vs. Atos Standard Common Repository vs. Fujitsu Enterprise Postgres vs. Transwarp Hippo

System Properties Comparison ArcadeDB vs. Atos Standard Common Repository vs. Fujitsu Enterprise Postgres vs. Transwarp Hippo

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	Fujitsu Enterprise Postgres  Xexclude from comparison	Transwarp Hippo  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	Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.	Cloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database model	Document store Graph DBMS Key-value store Time Series DBMS in next version	Document store Key-value store	Relational DBMS	Vector DBMS
Secondary database models			Document store Spatial DBMS
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 0.37 Rank #278   Overall #128   Relational DBMS	Score 0.05 Rank #386   Overall #14   Vector DBMS
Website	arcadedb.com	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.postgresql.fastware.com	www.transwarp.cn/­en/­subproduct/­hippo
Technical documentation	docs.arcadedb.com		www.postgresql.fastware.com/­product-manuals
Developer	Arcade Data	Atos Convergence Creators	PostgreSQL Global Development Group, Fujitsu Australia Software Technology
Initial release	2021	2016		2023
Current release	September 2021	1703	Fujitsu Enterprise Postgres 14, January 2022	1.0, May 2023
License Commercial or Open Source	Open Source Apache Version 2.0	commercial	commercial	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	C	C++
Server operating systems	All OS with a Java VM	Linux	Linux Windows	Linux macOS
Data scheme	schema-free	Schema and schema-less with LDAP views	yes
Typing predefined data types such as float or date	yes	optional	yes	Vector, Numeric and String
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		no
Secondary indexes	yes	yes	yes	no
SQL Support of SQL	SQL-like query language, no joins	no	yes	no
APIs and other access methods	JDBC MongoDB API OpenCypher PostgreSQL wire protocol Redis API RESTful HTTP/JSON API TinkerPop Gremlin	LDAP	ADO.NET JDBC native C library ODBC streaming API for large objects	RESTful HTTP API
Supported programming languages	Java	All languages with LDAP bindings	.Net C C++ Delphi Java JavaScript (Node.js) Perl PHP Python Tcl	C++ Java Python
Server-side scripts Stored procedures		no	user defined functions	no
Triggers		yes	yes	no
Partitioning methods Methods for storing different data on different nodes		Sharding cell division	partitioning by range, list and by hash	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	Source-replica replication	yes	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	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	yes relationship in graphs	no	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	Atomic execution of specific operations	ACID	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes, multi-version concurrency control (MVCC)	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
User concepts Access control		LDAP bind authentication	fine grained access rights according to SQL-standard	Role based access control and fine grained access rights
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	Fujitsu Enterprise Postgres	Transwarp Hippo
Recent citations in the news		Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News	Fujitsu Develops Column-Oriented Data-Processing Engine Enabling Fast, High-Volume Data Analysis in Database ... 26 February 2015, Fujitsu Fujitsu Develops Database Integration Technology to Accelerate IoT Data Analysis 17 March 2017, Fujitsu Fujitsu recognized as winner of 2023 Microsoft Japan Healthcare & Life Sciences Partner of the Year Award for its ... 28 June 2023, Fujitsu Latest News 17 September 2020, IBM Newsroom Primary Data says stop, Hammerspace, Innodisk cooks some SSDs, and Fujitsu goes blockchain 22 May 2018, The Register provided by Google News

Share this page