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DBMS > Alibaba Cloud MaxCompute vs. Couchbase vs. Google Cloud Bigtable vs. Memcached

System Properties Comparison Alibaba Cloud MaxCompute vs. Couchbase vs. Google Cloud Bigtable vs. Memcached

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Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonCouchbase infoOriginally called Membase  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMemcached  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingA distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile databaseGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.In-memory key-value store, originally intended for caching
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesDocument storeKey-value store
Wide column store
Key-value store
Secondary database modelsKey-value store infooriginating from the former Membase product and supporting the Memcached protocol
Spatial DBMS infousing the Geocouch extension
Search engine
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#221  Overall
#102  Relational DBMS
Score18.46
Rank#36  Overall
#5  Document stores
Score3.58
Rank#92  Overall
#14  Key-value stores
#8  Wide column stores
Score20.74
Rank#32  Overall
#4  Key-value stores
Websitewww.alibabacloud.com/­product/­maxcomputewww.couchbase.comcloud.google.com/­bigtablewww.memcached.org
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedocs.couchbase.comcloud.google.com/­bigtable/­docsgithub.com/­memcached/­memcached/­wiki
DeveloperAlibabaCouchbase, Inc.GoogleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release2016201120152003
Current releaseServer: 7.2, June 2023; Mobile: 3.1, March 2022; Couchbase Capella (DBaaS), June 20231.6.25, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoBusiness Source License (BSL 1.1); Commercial licenses also availablecommercialOpen Source infoBSD license
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, Go and ErlangC
Server operating systemshostedLinux
OS X
Windows
hostedFreeBSD
Linux
OS X
Unix
Windows
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnono
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.nono
Secondary indexesnoyesnono
SQL infoSupport of SQLSQL-like query languageSQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use casesnono
APIs and other access methodsFluentd
Flume
MaxCompute Console
CLI Client
HTTP REST
Kafka Connector
Native language bindings for CRUD, Query, Search and Analytics APIs
Spark Connector
Spring Data
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Proprietary protocol
Supported programming languagesJava.Net
C
Go
Java
JavaScript infoNode.js
Kotlin
PHP
Python
Ruby
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavaFunctions and timers in JavaScript and UDFs in Java, Python, SQL++nono
Triggersnoyes infovia the TAP protocolnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceAutomatic ShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication infoincluding cross data center replication
Source-replica replication
Internal replication in Colossus, and regional replication between two clusters in different zonesnone infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infoselectable on a per-operation basis
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic single-row operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoEphemeral bucketsno
User concepts infoAccess controlAccess rights for users and rolesUser and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control.Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infousing SASL (Simple Authentication and Security Layer) protocol

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More resources
Alibaba Cloud MaxComputeCouchbase infoOriginally called MembaseGoogle Cloud BigtableMemcached
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