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DBMS > Alibaba Cloud Table Store vs. Amazon Aurora vs. Atos Standard Common Repository vs. Bangdb vs. BigchainDB

System Properties Comparison Alibaba Cloud Table Store vs. Amazon Aurora vs. Atos Standard Common Repository vs. Bangdb vs. BigchainDB

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonAmazon Aurora  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonBangdb  Xexclude from comparisonBigchainDB  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 accessMySQL and PostgreSQL compatible cloud service by AmazonHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksConverged and high performance database for device data, events, time series, document and graphBigchainDB is scalable blockchain database offering decentralization, immutability and native assets
Primary database modelWide column storeRelational DBMSDocument store
Key-value store
Document store
Graph DBMS
Time Series DBMS
Document store
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.85
Rank#208  Overall
#35  Document stores
Websitewww.alibabacloud.com/­product/­table-storeaws.amazon.com/­rds/­auroraatos.net/en/convergence-creators/portfolio/standard-common-repositorybangdb.comwww.bigchaindb.com
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.bangdb.combigchaindb.readthedocs.io/­en/­latest
DeveloperAlibabaAmazonAtos Convergence CreatorsSachin Sinha, BangDB
Initial release20162015201620122016
Current release1703BangDB 2.0, October 2021
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoBSD 3Open Source infoAGPL v3
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++Python
Server operating systemshostedhostedLinuxLinuxLinux
Data schemeschema-freeyesSchema and schema-less with LDAP viewsschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesoptionalyes: string, long, double, int, geospatial, stream, eventsno
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.noyesyesnono
Secondary indexesnoyesyesyes infosecondary, composite, nested, reverse, geospatial
SQL infoSupport of SQLnoyesnoSQL like support with command line toolno
APIs and other access methodsHTTP APIADO.NET
JDBC
ODBC
LDAPProprietary protocol
RESTful HTTP API
CLI Client
RESTful HTTP API
Supported programming languagesJava
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All languages with LDAP bindingsC
C#
C++
Java
Python
Go
Haskell
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnoyesnono
Triggersnoyesyesyes, Notifications (with Streaming only)
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioningSharding infocell divisionSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSource-replica replicationyesselectable replication factor, Knob for CAP (enterprise version only)selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationTunable consistency, set CAP knob accordingly
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, optimistic concurrency controlyes
Durability infoSupport for making data persistentyesyesyesyes, implements WAL (Write ahead log) as wellyes,with MongoDB ord RethinkDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes, run db with in-memory only mode
User concepts infoAccess controlAccess rights based on subaccounts and tokensfine grained access rights according to SQL-standardLDAP bind authenticationyes (enterprise version only)yes

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More resources
Alibaba Cloud Table StoreAmazon AuroraAtos Standard Common RepositoryBangdbBigchainDB
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