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DBMS > Alibaba Cloud MaxCompute vs. Badger vs. CouchDB vs. FileMaker vs. Google Cloud Bigtable

System Properties Comparison Alibaba Cloud MaxCompute vs. Badger vs. CouchDB vs. FileMaker vs. Google Cloud Bigtable

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonBadger  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonFileMaker  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesKey-value storeDocument storeRelational DBMSKey-value store
Wide column store
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#203  Overall
#96  Relational DBMS
Score0.14
Rank#328  Overall
#48  Key-value stores
Score7.46
Rank#51  Overall
#7  Document stores
Score45.20
Rank#20  Overall
#14  Relational DBMS
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Websitewww.alibabacloud.com/­product/­maxcomputegithub.com/­dgraph-io/­badgercouchdb.apache.orgwww.claris.com/­filemakercloud.google.com/­bigtable
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputegodoc.org/­github.com/­dgraph-io/­badgerdocs.couchdb.org/­en/­stablewww.claris.com/­resources/­documentationcloud.google.com/­bigtable/­docs
DeveloperAlibabaDGraph LabsApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerClaris infoa subsidiary of AppleGoogle
Initial release20162017200519832015
Current release3.3.3, December 202319.4.1, November 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache version 2commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoErlang
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
Android
BSD
Linux
OS X
Solaris
Windows
iOS infoclient part only
Linux
OS X
Windows
hosted
Data schemeyesschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnonoyesno
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.nononoyes infoA http query request can return the data in XML formatno
Secondary indexesnonoyes infovia viewsyesno
SQL infoSupport of SQLSQL-like query languagenonoyes infovia pluginsno
APIs and other access methodsFluentd
Flume
MaxCompute Console
RESTful HTTP/JSON APIFilemaker WebDirect
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesJavaGoC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
PHPC#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin JavanoView functions in JavaScriptyesno
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneSharding infoimproved architecture with release 2.0noneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenoneMulti-source replication
Source-replica replication
Source-replica replication, warm standby infosince Version 14Internal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono infoatomic operations within a single document possiblenoAtomic single-row operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes infostrategy: optimistic lockingyesyes
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.nononono
User concepts infoAccess controlAccess rights for users and rolesnoAccess rights for users can be defined per databasesimple rights management via user accounts and connection to external directory servicesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
Alibaba Cloud MaxComputeBadgerCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"FileMakerGoogle Cloud Bigtable
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