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DBMS > Alibaba Cloud MaxCompute vs. Amazon DocumentDB vs. EXASOL vs. Google Cloud Bigtable vs. Riak KV

System Properties Comparison Alibaba Cloud MaxCompute vs. Amazon DocumentDB vs. EXASOL vs. Google Cloud Bigtable vs. Riak KV

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonEXASOL  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Distributed, fault tolerant key-value store
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesDocument storeRelational DBMSKey-value store
Wide column store
Key-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score1.91
Rank#132  Overall
#24  Document stores
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitewww.alibabacloud.com/­product/­maxcomputeaws.amazon.com/­documentdbwww.exasol.comcloud.google.com/­bigtable
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputeaws.amazon.com/­documentdb/­resourceswww.exasol.com/­resourcescloud.google.com/­bigtable/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperAlibabaExasolGoogleOpenSource, formerly Basho Technologies
Initial release20162019200020152009
Current release3.2.0, December 2022
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud serviceyesyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlang
Server operating systemshostedhostedhostedLinux
OS X
Data schemeyesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnono
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.nonononono
Secondary indexesnoyesyesnorestricted
SQL infoSupport of SQLSQL-like query languagenoyesnono
APIs and other access methodsFluentd
Flume
MaxCompute Console
proprietary protocol using JSON (MongoDB compatible).Net
JDBC
ODBC
WebSocket
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Native Erlang Interface
Supported programming languagesJavaGo
Java
JavaScript (Node.js)
PHP
Python
Java
Lua
Python
R
C#
C++
Go
Java
JavaScript (Node.js)
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresuser defined functions infoin Javanouser defined functionsnoErlang
Triggersnonoyesnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneShardingShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasInternal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes infoHadoop integrationyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleyesnono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-document operationsACIDAtomic single-row operationsno
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.noyesno
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and rolesAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes, using Riak Security

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More resources
Alibaba Cloud MaxComputeAmazon DocumentDBEXASOLGoogle Cloud BigtableRiak KV
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