DBMS > Atos Standard Common Repository vs. Postgres-XL vs. Qdrant vs. Sadas Engine

System Properties Comparison Atos Standard Common Repository vs. Postgres-XL vs. Qdrant vs. Sadas Engine

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Postgres-XL  Xexclude from comparison	Qdrant  Xexclude from comparison	Sadas Engine  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	Based on PostgreSQL enhanced with MPP and write-scale-out cluster features	A high-performance vector database with neural network or semantic-based matching	SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database model	Document store Key-value store	Relational DBMS	Vector DBMS	Relational DBMS
Secondary database models		Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.53 Rank #254   Overall #117   Relational DBMS	Score 1.28 Rank #167   Overall #7   Vector DBMS	Score 0.07 Rank #373   Overall #157   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.postgres-xl.org	github.com/­qdrant/­qdrant qdrant.tech	www.sadasengine.com
Technical documentation		www.postgres-xl.org/­documentation	qdrant.tech/­documentation	www.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
Developer	Atos Convergence Creators		Qdrant	SADAS s.r.l.
Initial release	2016	2014 since 2012, originally named StormDB	2021	2006
Current release	1703	10 R1, October 2018		8.0
License Commercial or Open Source	commercial	Open Source Mozilla public license	Open Source Apache Version 2.0	commercial free trial version available
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	Rust	C++
Server operating systems	Linux	Linux macOS	Docker Linux macOS Windows	AIX Linux Windows
Data scheme	Schema and schema-less with LDAP views	yes	schema-free	yes
Typing predefined data types such as float or date	optional	yes	Numbers, Strings, Geo, Boolean	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.	yes	yes XML type, but no XML query functionality	no	no
Secondary indexes	yes	yes	yes Keywords, numberic ranges, geo, full-text	yes
SQL Support of SQL	no	yes distributed, parallel query execution	no	yes
APIs and other access methods	LDAP	ADO.NET JDBC native C library ODBC streaming API for large objects	gRPC OpenAPI 3.0 RESTful HTTP/JSON API OpenAPI 3.0	JDBC ODBC Proprietary protocol
Supported programming languages	All languages with LDAP bindings	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl	.Net Go Java JavaScript (Node.js) Python Rust	.Net C C# C++ Groovy Java PHP 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	horizontal partitioning	Sharding	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes		Collection-level replication	none
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, tunable consistency	Immediate Consistency
Foreign keys Referential integrity	no	yes		yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID MVCC
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	no	yes	yes managed by 'Learn by Usage'
User concepts Access control	LDAP bind authentication	fine grained access rights according to SQL-standard	Key-based authentication	Access rights for users, groups and roles according to SQL-standard
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More resources
	Atos Standard Common Repository	Postgres-XL	Qdrant	Sadas Engine
Recent citations in the news			Open source vector database startup Qdrant raises $28M 23 January 2024, TechCrunch Qdrant Raises $28M to Advance Massive-Scale AI Applications 23 January 2024, businesswire.com Qdrant Hybrid Cloud is Now Available for OCI Customers: Managed Vector Search Engine for Data-Sensitive AI ... 16 April 2024, blogs.oracle.com Qdrant offers managed vector database for hybrid clouds 16 April 2024, InfoWorld Why Vector Data Services For AI Are A Moveable Feast 17 April 2024, Forbes provided by Google News

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