DBMS > Atos Standard Common Repository vs. Hazelcast vs. ReductStore vs. Warp 10

System Properties Comparison Atos Standard Common Repository vs. Hazelcast vs. ReductStore vs. Warp 10

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Hazelcast  Xexclude from comparison	ReductStore  Xexclude from comparison	Warp 10  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 widely adopted in-memory data grid	Designed to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.	TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database model	Document store Key-value store	Key-value store	Time Series DBMS	Time Series 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 5.46 Rank #61   Overall #7   Key-value stores	Score 0.05 Rank #384   Overall #44   Time Series DBMS	Score 0.14 Rank #344   Overall #32   Time Series DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	hazelcast.com	github.com/­reductstore www.reduct.store	www.warp10.io
Technical documentation		hazelcast.org/­imdg/­docs	www.reduct.store/­docs	www.warp10.io/­content/­02_Getting_started
Developer	Atos Convergence Creators	Hazelcast	ReductStore LLC	SenX
Initial release	2016	2008	2023	2015
Current release	1703	5.3.6, November 2023	1.9, March 2024
License Commercial or Open Source	commercial	Open Source Apache Version 2; commercial licenses available	Open Source Business Source License 1.1	Open Source Apache License 2.0
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++, Rust	Java
Server operating systems	Linux	All OS with a Java VM	Docker Linux macOS Windows	Linux OS X Windows
Data scheme	Schema and schema-less with LDAP views	schema-free		schema-free
Typing predefined data types such as float or date	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.	yes	yes the object must implement a serialization strategy		no
Secondary indexes	yes	yes		no
SQL Support of SQL	no	SQL-like query language		no
APIs and other access methods	LDAP	JCache JPA Memcached protocol RESTful HTTP API	HTTP API	HTTP API Jupyter WebSocket
Supported programming languages	All languages with LDAP bindings	.Net C# C++ Clojure Go Java JavaScript (Node.js) Python Scala	C++ JavaScript (Node.js) Python Rust
Server-side scripts Stored procedures	no	yes Event Listeners, Executor Services		yes WarpScript
Triggers	yes	yes Events		no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding		Sharding based on HBase
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes Replicated Map		selectable replication factor based on HBase
MapReduce Offers an API for user-defined Map/Reduce methods		yes		no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency or Eventual Consistency selectable by user Raft Consensus Algorithm		Immediate Consistency based on HBase
Foreign keys Referential integrity	no	no		no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	one or two-phase-commit; repeatable reads; read commited		no
Concurrency Support for concurrent manipulation of data	yes	yes		yes
Durability Support for making data persistent	yes	yes		yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	yes		yes
User concepts Access control	LDAP bind authentication	Role-based access control		Mandatory use of cryptographic tokens, containing fine-grained authorizations
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More resources
	Atos Standard Common Repository	Hazelcast	ReductStore	Warp 10
Recent citations in the news	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News	Hazelcast appoints Anthony Griffin as Chief Architect - 11 June 2024, Enterprise Times 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 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		Time Series Databases Software market latest trends, CAGR, and forecast till 2026 | eSherpa Market Reports 13 April 2020, openPR Time Series Intelligence Software Market Business Insights, Key Trend Analysis | Google, SAP, Azure Time Series ... 12 June 2024, Amoré provided by Google News

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