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DBMS > Alibaba Cloud Table Store vs. Amazon SimpleDB vs. BigchainDB vs. KeyDB vs. Spark SQL

System Properties Comparison Alibaba Cloud Table Store vs. Amazon SimpleDB vs. BigchainDB vs. KeyDB vs. Spark SQL

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonKeyDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelWide column storeKey-value storeDocument storeKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#251  Overall
#12  Wide column stores
Score2.20
Rank#117  Overall
#22  Key-value stores
Score0.80
Rank#195  Overall
#30  Document stores
Score0.32
Rank#268  Overall
#40  Key-value stores
Score22.97
Rank#34  Overall
#20  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storeaws.amazon.com/­simpledbwww.bigchaindb.comgithub.com/­JohnSully/­KeyDB
keydb.dev
spark.apache.org/­sql
Technical documentationwww.alibabacloud.com/­help/­product/­27278.htmdocs.aws.amazon.com/­simpledbbigchaindb.readthedocs.io/­en/­latestdocs.keydb.devspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAlibabaAmazonEQ Alpha Technology Ltd.Apache Software Foundation
Initial release20162007201620192014
Current release3.2.0, October 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL v3Open Source infoBSD-3Open Source infoApache 2.0
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 languagePythonC++Scala
Server operating systemshostedhostedLinuxLinuxLinux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnonopartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes
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.nononono
Secondary indexesnoyes infoAll columns are indexed automaticallyyes infoby using the Redis Search moduleno
SQL infoSupport of SQLnonononoSQL-like DML and DDL statements
APIs and other access methodsHTTP APIRESTful HTTP APICLI Client
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocoJDBC
ODBC
Supported programming languagesJava
Python
.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Java
Python
R
Scala
Server-side scripts infoStored proceduresnonoLuano
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenone infoSharding must be implemented in the applicationShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesselectable replication factorMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsno infoConcurrent data updates can be detected by the applicationOptimistic locking, atomic execution of commands blocks and scriptsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes,with MongoDB ord RethinkDByes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights based on subaccounts and tokensAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yessimple password-based access control and ACLno

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More resources
Alibaba Cloud Table StoreAmazon SimpleDBBigchainDBKeyDBSpark SQL
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