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DBMS > Atos Standard Common Repository vs. Google Cloud Bigtable vs. Heroic vs. Kingbase vs. SwayDB

System Properties Comparison Atos Standard Common Repository vs. Google Cloud Bigtable vs. Heroic vs. Kingbase vs. SwayDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHeroic  Xexclude from comparisonKingbase  Xexclude from comparisonSwayDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelDocument store
Key-value store
Key-value store
Wide column store
Time Series DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.50
Rank#257  Overall
#119  Relational DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorycloud.google.com/­bigtablegithub.com/­spotify/­heroicwww.kingbase.com.cnswaydb.simer.au
Technical documentationcloud.google.com/­bigtable/­docsspotify.github.io/­heroic
DeveloperAtos Convergence CreatorsGoogleSpotifyBeiJing KINGBASE Information technologies inc.Simer Plaha
Initial release20162015201419992018
Current release1703V8.0, August 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercialOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC and JavaScala
Server operating systemsLinuxhostedLinux
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateoptionalnoyesyesno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesnonoyesno
Secondary indexesyesnoyes infovia Elasticsearchyesno
SQL infoSupport of SQLnononoStandard with numerous extensionsno
APIs and other access methodsLDAPgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Supported programming languagesAll languages with LDAP bindingsC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnononouser defined functionsno
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardinghorizontal partitioning (by range, list and hash) and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesInternal replication in Colossus, and regional replication between two clusters in different zonesyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsAtomic single-row operationsnoACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlLDAP bind authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardno

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More resources
Atos Standard Common RepositoryGoogle Cloud BigtableHeroicKingbaseSwayDB
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