DBMS > Atos Standard Common Repository vs. Hawkular Metrics vs. Immudb vs. Lovefield

System Properties Comparison Atos Standard Common Repository vs. Hawkular Metrics vs. Immudb vs. Lovefield

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	Immudb  Xexclude from comparison	Lovefield  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	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	An open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.	Embeddable relational database for web apps written in pure JavaScript
Primary database model	Document store Key-value store	Time Series DBMS	Key-value store	Relational DBMS
Secondary database models			Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 0.31 Rank #295   Overall #42   Key-value stores	Score 0.33 Rank #286   Overall #131   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.hawkular.org	github.com/­codenotary/­immudb immudb.io	google.github.io/­lovefield
Technical documentation		www.hawkular.org/­hawkular-metrics/­docs/­user-guide	docs.immudb.io	github.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
Developer	Atos Convergence Creators	Community supported by Red Hat	Codenotary	Google
Initial release	2016	2014	2020	2014
Current release	1703		1.2.3, April 2022	2.1.12, February 2017
License Commercial or Open Source	commercial	Open Source Apache 2.0	Open Source Apache Version 2.0	Open Source Apache 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	Go	JavaScript
Server operating systems	Linux	Linux OS X Windows	BSD Linux macOS Solaris Windows z/OS	server-less, requires a JavaScript environment (browser, Node.js) tested with Chrome, Firefox, IE, Safari
Data scheme	Schema and schema-less with LDAP views	schema-free	schema-free	yes
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	no	no	no
Secondary indexes	yes	no	yes	yes
SQL Support of SQL	no	no	SQL-like syntax	SQL-like query language via JavaScript builder pattern
APIs and other access methods	LDAP	HTTP REST	gRPC protocol PostgreSQL wire protocol
Supported programming languages	All languages with LDAP bindings	Go Java Python Ruby	.Net Go Java JavaScript (Node.js) Python	JavaScript
Server-side scripts Stored procedures	no	no	no	no
Triggers	yes	yes via Hawkular Alerting	no	Using read-only observers
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding based on Cassandra	Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor based on Cassandra		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	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Immediate Consistency
Foreign keys Referential integrity	no	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	no	ACID	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no	no	yes using MemoryDB
User concepts Access control	LDAP bind authentication	no		no
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More resources
	Atos Standard Common Repository	Hawkular Metrics	Immudb	Lovefield
Recent citations in the news		Waiting for Red Hat OpenShift 4.0? Too late, 4.1 has already arrived… • DEVCLASS 5 June 2019, DevClass provided by Google News	Codenotary brings its immutable database to the cloud 21 June 2023, TechCrunch ImmuDB and Codenotary: It's a database, but the company isn't 20 December 2021, ZDNet Immudb: Open-source database, built on a zero trust model 17 December 2021, Help Net Security How Open-Source Database immudb Plans to Handle All That Metaverse Data 10 October 2022, Acceleration Economy immudb (immutable database) 'tamper-proof' database - Open Source Insider 14 December 2021, ComputerWeekly.com provided by Google News

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