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DBMS > Alibaba Cloud Table Store vs. Atos Standard Common Repository vs. BigchainDB vs. GigaSpaces vs. H2

System Properties Comparison Alibaba Cloud Table Store vs. Atos Standard Common Repository vs. BigchainDB vs. GigaSpaces vs. H2

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonH2  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.
Primary database modelWide column storeDocument store
Key-value store
Document storeDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMS
Secondary database modelsGraph DBMS
Search engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score0.85
Rank#208  Overall
#35  Document stores
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storeatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comwww.gigaspaces.comwww.h2database.com
Technical documentationwww.alibabacloud.com/­help/­en/­tablestorebigchaindb.readthedocs.io/­en/­latestdocs.gigaspaces.com/­latest/­landing.htmlwww.h2database.com/­html/­main.html
DeveloperAlibabaAtos Convergence CreatorsGigaspaces TechnologiesThomas Mueller
Initial release20162016201620002005
Current release170315.5, September 20202.2.220, July 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL v3Open Source infoApache Version 2; Commercial licenses availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaPythonJava, C++, .NetJava
Server operating systemshostedLinuxLinuxLinux
macOS
Solaris
Windows
All OS with a Java VM
Data schemeschema-freeSchema and schema-less with LDAP viewsschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesoptionalnoyesyes
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.noyesnono infoXML can be used for describing objects metadatano
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnononoSQL-99 for query and DML statementsyes
APIs and other access methodsHTTP APILDAPCLI Client
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
Supported programming languagesJava
Python
All languages with LDAP bindingsGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C++
Java
Python
Scala
Java
Server-side scripts infoStored proceduresnonoyesJava Stored Procedures and User-Defined Functions
Triggersnoyesyes, event driven architectureyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infocell divisionShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesselectable replication factorMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
With clustering: 2 database servers on different computers operate on identical copies of a database
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensLDAP bind authenticationyesRole-based access controlfine grained access rights according to SQL-standard

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More resources
Alibaba Cloud Table StoreAtos Standard Common RepositoryBigchainDBGigaSpacesH2
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