DBMS > Alibaba Cloud Table Store vs. Atos Standard Common Repository vs. Hawkular Metrics vs. Lovefield

System Properties Comparison Alibaba Cloud Table Store vs. Atos Standard Common Repository vs. Hawkular Metrics vs. Lovefield

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	Alibaba Cloud Table Store  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	Lovefield  Xexclude from comparison
		This system has been discontinued and will be removed from the DB-Engines ranking.
Description	A fully managed Wide Column Store for large quantities of semi-structured data with real-time access	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.	Embeddable relational database for web apps written in pure JavaScript
Primary database model	Wide column store	Document store Key-value store	Time Series DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.31 Rank #297   Overall #11   Wide column stores		Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 0.33 Rank #286   Overall #131   Relational DBMS
Website	www.alibabacloud.com/­product/­table-store	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.hawkular.org	google.github.io/­lovefield
Technical documentation	www.alibabacloud.com/­help/­en/­tablestore		www.hawkular.org/­hawkular-metrics/­docs/­user-guide	github.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
Developer	Alibaba	Atos Convergence Creators	Community supported by Red Hat	Google
Initial release	2016	2016	2014	2014
Current release		1703		2.1.12, February 2017
License Commercial or Open Source	commercial	commercial	Open Source Apache 2.0	Open Source Apache 2.0
Cloud-based only Only available as a cloud service	yes	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	JavaScript
Server operating systems	hosted	Linux	Linux OS X Windows	server-less, requires a JavaScript environment (browser, Node.js) tested with Chrome, Firefox, IE, Safari
Data scheme	schema-free	Schema and schema-less with LDAP views	schema-free	yes
Typing predefined data types such as float or date	yes	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.	no	yes	no	no
Secondary indexes	no	yes	no	yes
SQL Support of SQL	no	no	no	SQL-like query language via JavaScript builder pattern
APIs and other access methods	HTTP API	LDAP	HTTP REST
Supported programming languages	Java Python	All languages with LDAP bindings	Go Java Python Ruby	JavaScript
Server-side scripts Stored procedures	no	no	no	no
Triggers	no	yes	yes via Hawkular Alerting	Using read-only observers
Partitioning methods Methods for storing different data on different nodes	Sharding Implicit feature of the cloud service	Sharding cell division	Sharding based on Cassandra	none
Replication methods Methods for redundantly storing data on multiple nodes	yes Implicit feature of the cloud service	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	Immediate Consistency or Eventual Consistency depending on configuration	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra
Foreign keys Referential integrity	no	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic single-row operations	Atomic execution of specific operations	no	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.	no	yes	no	yes using MemoryDB
User concepts Access control	Access rights based on subaccounts and tokens	LDAP bind authentication	no	no
More information provided by the system vendor We invite representatives of system vendors to contact us for updating and extending the system information, and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.
Related products and services We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
More resources
	Alibaba Cloud Table Store	Atos Standard Common Repository	Hawkular Metrics	Lovefield
Recent citations in the news	Top data analytics tools comparison: Alibaba Cloud, AWS, Azure, Google Cloud, IBM 5 December 2019, Wire19 Apache Software Foundation Announces New Top-Level Project Apache Paimon 16 April 2024, Datanami Gartner’s Magic Quadrant for Cloud Database Management Systems 9 December 2020, CRN 25 Best Cloud Service Providers (Public and Private) in 2024 4 June 2023, CybersecurityNews Apache Software Foundation Announces New Top-Level Project Apache Paimon 19 April 2024, Datanami provided by Google News		Waiting for Red Hat OpenShift 4.0? Too late, 4.1 has already arrived… • DEVCLASS 5 June 2019, DevClass provided by Google News

Share this page