DBMS > Atos Standard Common Repository vs. Lovefield vs. Microsoft Azure AI Search vs. Postgres-XL vs. TerarkDB

System Properties Comparison Atos Standard Common Repository vs. Lovefield vs. Microsoft Azure AI Search vs. Postgres-XL vs. TerarkDB

Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Lovefield  Xexclude from comparison	Microsoft Azure AI Search  Xexclude from comparison	Postgres-XL  Xexclude from comparison	TerarkDB  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	Embeddable relational database for web apps written in pure JavaScript	Search-as-a-service for web and mobile app development	Based on PostgreSQL enhanced with MPP and write-scale-out cluster features	A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database model	Document store Key-value store	Relational DBMS	Search engine	Relational DBMS	Key-value store
Secondary database models			Vector DBMS	Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.33 Rank #286   Overall #131   Relational DBMS	Score 5.52 Rank #59   Overall #6   Search engines	Score 0.53 Rank #254   Overall #117   Relational DBMS	Score 0.08 Rank #367   Overall #56   Key-value stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	google.github.io/­lovefield	azure.microsoft.com/­en-us/­services/­search	www.postgres-xl.org	github.com/­bytedance/­terarkdb
Technical documentation		github.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md	learn.microsoft.com/­en-us/­azure/­search	www.postgres-xl.org/­documentation	bytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
Developer	Atos Convergence Creators	Google	Microsoft		ByteDance, originally Terark
Initial release	2016	2014	2015	2014 since 2012, originally named StormDB	2016
Current release	1703	2.1.12, February 2017	V1	10 R1, October 2018
License Commercial or Open Source	commercial	Open Source Apache 2.0	commercial	Open Source Mozilla public license	commercial restricted open source version available
Cloud-based only Only available as a cloud service	no	no	yes	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	JavaScript		C	C++
Server operating systems	Linux	server-less, requires a JavaScript environment (browser, Node.js) tested with Chrome, Firefox, IE, Safari	hosted	Linux macOS
Data scheme	Schema and schema-less with LDAP views	yes	yes	yes	schema-free
Typing predefined data types such as float or date	optional	yes	yes	yes	no
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	no	no	yes XML type, but no XML query functionality	no
Secondary indexes	yes	yes	yes	yes	no
SQL Support of SQL	no	SQL-like query language via JavaScript builder pattern	no	yes distributed, parallel query execution	no
APIs and other access methods	LDAP		RESTful HTTP API	ADO.NET JDBC native C library ODBC streaming API for large objects	C++ API Java API
Supported programming languages	All languages with LDAP bindings	JavaScript	C# Java JavaScript Python	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl	C++ Java
Server-side scripts Stored procedures	no	no	no	user defined functions	no
Triggers	yes	Using read-only observers	no	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none	Sharding Implicit feature of the cloud service	horizontal partitioning	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	none	yes Implicit feature of the cloud service		none
MapReduce Offers an API for user-defined Map/Reduce methods		no	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration		Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	yes	no	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	no	ACID MVCC	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes, by using IndexedDB or the cloud service Firebase Realtime Database	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	yes using MemoryDB	no	no	yes
User concepts Access control	LDAP bind authentication	no	yes using Azure authentication	fine grained access rights according to SQL-standard	no
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More resources
	Atos Standard Common Repository	Lovefield	Microsoft Azure AI Search	Postgres-XL	TerarkDB
Recent citations in the news	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News	Kagiso interactive shares: all eyes on android at google I/O 11 May 2015, WhaTech provided by Google News	Announcing updates to Azure AI Search to help organizations build and scale generative AI applications 4 April 2024, azure.microsoft.com Public Preview of Azure OpenAI and AI Search in-app connectors for Logic Apps (Standard) | Azure updates 2 April 2024, azure.microsoft.com Microsoft’s Azure AI Search updated with increased storage, vector index size 5 April 2024, InfoWorld Azure AI Studio Now Generally Available, Sporting New Models Both Big and Small 21 May 2024, Visual Studio Magazine Microsoft Azure AI adds storage power, large RAG app support 5 April 2024, VentureBeat provided by Google News

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