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DBMS > Alibaba Cloud MaxCompute vs. AnzoGraph DB vs. Badger vs. Datomic vs. FileMaker

System Properties Comparison Alibaba Cloud MaxCompute vs. AnzoGraph DB vs. Badger vs. Datomic vs. FileMaker

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonBadger  Xexclude from comparisonDatomic  Xexclude from comparisonFileMaker  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityFileMaker is a cross-platform RDBMS that includes a GUI frontend.
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesGraph DBMS
RDF store
Key-value storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#203  Overall
#96  Relational DBMS
Score0.22
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score0.14
Rank#328  Overall
#48  Key-value stores
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score45.20
Rank#20  Overall
#14  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputecambridgesemantics.com/­anzographgithub.com/­dgraph-io/­badgerwww.datomic.comwww.claris.com/­filemaker
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmgodoc.org/­github.com/­dgraph-io/­badgerdocs.datomic.comwww.claris.com/­resources/­documentation
DeveloperAlibabaCambridge SemanticsDGraph LabsCognitectClaris infoa subsidiary of Apple
Initial release20162018201720121983
Current release2.3, January 20211.0.7180, July 202419.4.1, November 2021
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availableOpen Source infoApache 2.0commercial infolimited edition freecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, Clojure
Server operating systemshostedLinuxBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMiOS infoclient part only
Linux
OS X
Windows
Data schemeyesSchema-free and OWL/RDFS-schema supportschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonononoyes infoA http query request can return the data in XML format
Secondary indexesnononoyesyes
SQL infoSupport of SQLSQL-like query languageSPARQL and SPARQL* as primary query language. Cypher preview.nonoyes infovia plugins
APIs and other access methodsFluentd
Flume
MaxCompute Console
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
RESTful HTTP APIFilemaker WebDirect
JDBC
ODBC
Supported programming languagesJavaC++
Java
Python
GoClojure
Java
PHP
Server-side scripts infoStored proceduresuser defined functions infoin Javauser defined functions and aggregatesnoyes infoTransaction Functionsyes
TriggersnononoBy using transaction functionsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceAutomatic shardingnonenone infoBut extensive use of caching in the application peersnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication in MPP-Clusternonenone infoBut extensive use of caching in the application peersSource-replica replication, warm standby infosince Version 14
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesKerberos/HDFS data loadingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusternoneImmediate Consistency
Foreign keys infoReferential integritynono infonot needed in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes inforecommended only for testing and development
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and rolesnonosimple rights management via user accounts and connection to external directory services

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More resources
Alibaba Cloud MaxComputeAnzoGraph DBBadgerDatomicFileMaker
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