DBMS > Atos Standard Common Repository vs. InfinityDB vs. Lovefield vs. Rockset

System Properties Comparison Atos Standard Common Repository vs. InfinityDB vs. Lovefield vs. Rockset

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	InfinityDB  Xexclude from comparison	Lovefield  Xexclude from comparison	Rockset  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	A Java embedded Key-Value Store which extends the Java Map interface	Embeddable relational database for web apps written in pure JavaScript	A scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database model	Document store Key-value store	Key-value store	Relational DBMS	Document store
Secondary database models				Relational DBMS Search engine
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.08 Rank #365   Overall #55   Key-value stores	Score 0.33 Rank #286   Overall #131   Relational DBMS	Score 0.82 Rank #212   Overall #36   Document stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	boilerbay.com	google.github.io/­lovefield	rockset.com
Technical documentation		boilerbay.com/­infinitydb/­manual	github.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md	docs.rockset.com
Developer	Atos Convergence Creators	Boiler Bay Inc.	Google	Rockset
Initial release	2016	2002	2014	2019
Current release	1703	4.0	2.1.12, February 2017
License Commercial or Open Source	commercial	commercial	Open Source Apache 2.0	commercial
Cloud-based only Only available as a cloud service	no	no	no	yes
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	Java	JavaScript	C++
Server operating systems	Linux	All OS with a Java VM	server-less, requires a JavaScript environment (browser, Node.js) tested with Chrome, Firefox, IE, Safari	hosted
Data scheme	Schema and schema-less with LDAP views	yes nested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade	yes	schema-free
Typing predefined data types such as float or date	optional	yes all Java primitives, Date, CLOB, BLOB, huge sparse arrays	yes	dynamic typing
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	no ingestion from XML files supported
Secondary indexes	yes	no manual creation possible, using inversions based on multi-value capability	yes	all fields are automatically indexed
SQL Support of SQL	no	no	SQL-like query language via JavaScript builder pattern	Read-only SQL queries, including JOINs
APIs and other access methods	LDAP	Access via java.util.concurrent.ConcurrentNavigableMap Interface Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)		HTTP REST
Supported programming languages	All languages with LDAP bindings	Java	JavaScript	Go Java JavaScript (Node.js) Python
Server-side scripts Stored procedures	no	no	no	no
Triggers	yes	no	Using read-only observers	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none	none	Automatic sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	none	none	yes
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 READ-COMMITTED or SERIALIZED		Eventual Consistency
Foreign keys Referential integrity	no	no manual creation possible, using inversions based on multi-value capability	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID Optimistic locking for transactions; no isolation for bulk loads	ACID	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes, by using IndexedDB or the cloud service Firebase Realtime Database	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no	yes using MemoryDB
User concepts Access control	LDAP bind authentication	no	no	Access rights for users and organizations can be defined via Rockset console
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More resources
	Atos Standard Common Repository	InfinityDB	Lovefield	Rockset
Recent citations in the news				Rockset upgrades database to meet the needs of AI hybrid search – Blocks and Files 20 May 2024, Blocks and Files Rockset Announces Native Support for Hybrid Search to Power AI Apps 17 May 2024, Datanami Rockset launches native support for hybrid vector and text search to power AI apps 16 May 2024, SiliconANGLE News Data Management News for the Week of May 17; Updates from Anomalo, DataStax, Rockset & More 16 May 2024, Solutions Review Rockset targets cost control with latest database update 31 January 2024, TechTarget provided by Google News

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