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DBMS > Alibaba Cloud MaxCompute vs. Amazon SimpleDB vs. BigchainDB vs. Datomic vs. Quasardb

System Properties Comparison Alibaba Cloud MaxCompute vs. Amazon SimpleDB vs. BigchainDB vs. Datomic vs. Quasardb

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonDatomic  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingHosted 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 assetsDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityDistributed, high-performance timeseries database
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesKey-value storeDocument storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score1.88
Rank#133  Overall
#23  Key-value stores
Score0.85
Rank#208  Overall
#35  Document stores
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitewww.alibabacloud.com/­product/­maxcomputeaws.amazon.com/­simpledbwww.bigchaindb.comwww.datomic.comquasar.ai
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedocs.aws.amazon.com/­simpledbbigchaindb.readthedocs.io/­en/­latestdocs.datomic.comdoc.quasar.ai/­master
DeveloperAlibabaAmazonCognitectquasardb
Initial release20162007201620122009
Current release1.0.6735, June 20233.14.1, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL v3commercial infolimited edition freecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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 languagePythonJava, ClojureC++
Server operating systemshostedhostedLinuxAll OS with a Java VMBSD
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnonoyesyes infointeger and binary
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 automaticallyyesyes infowith tags
SQL infoSupport of SQLSQL-like query languagenononoSQL-like query language
APIs and other access methodsFluentd
Flume
MaxCompute Console
RESTful HTTP APICLI Client
RESTful HTTP API
RESTful HTTP APIHTTP API
Supported programming languagesJava.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
Clojure
Java
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functions infoin Javanoyes infoTransaction Functionsno
TriggersnonoBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenone infoSharding must be implemented in the applicationShardingnone infoBut extensive use of caching in the application peersSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesselectable replication factornone infoBut extensive use of caching in the application peersSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoConcurrent data updates can be detected by the applicationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes,with MongoDB ord RethinkDByes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyes infoTransient mode
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesnoCryptographically strong user authentication and audit trail

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More resources
Alibaba Cloud MaxComputeAmazon SimpleDBBigchainDBDatomicQuasardb
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