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DBMS > Amazon DocumentDB vs. DuckDB vs. FileMaker vs. Hive vs. Microsoft Azure Table Storage

System Properties Comparison Amazon DocumentDB vs. DuckDB vs. FileMaker vs. Hive vs. Microsoft Azure Table Storage

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonDuckDB  Xexclude from comparisonFileMaker  Xexclude from comparisonHive  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAn embeddable, in-process, column-oriented SQL OLAP RDBMSFileMaker is a cross-platform RDBMS that includes a GUI frontend.data warehouse software for querying and managing large distributed datasets, built on HadoopA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelDocument storeRelational DBMSRelational DBMSRelational DBMSWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Websiteaws.amazon.com/­documentdbduckdb.orgwww.claris.com/­filemakerhive.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationaws.amazon.com/­documentdb/­resourcesduckdb.org/­docswww.claris.com/­resources/­documentationcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperClaris infoa subsidiary of AppleApache Software Foundation infoinitially developed by FacebookMicrosoft
Initial release20192018198320122012
Current release0.10, February 202419.4.1, November 20213.1.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicensecommercialOpen Source infoApache Version 2commercial
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 languageC++Java
Server operating systemshostedserver-lessiOS infoclient part only
Linux
OS X
Windows
All OS with a Java VMhosted
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyes infoA http query request can return the data in XML formatno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLnoyesyes infovia pluginsSQL-like DML and DDL statementsno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
Filemaker WebDirect
JDBC
ODBC
JDBC
ODBC
Thrift
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
PHPC++
Java
PHP
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyesyes infouser defined functions and integration of map-reduceno
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnoneSource-replica replication, warm standby infosince Version 14selectable replication factoryes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnonooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
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.yesno
User concepts infoAccess controlAccess rights for users and rolesnosimple rights management via user accounts and connection to external directory servicesAccess rights for users, groups and rolesAccess rights based on private key authentication or shared access signatures

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More resources
Amazon DocumentDBDuckDBFileMakerHiveMicrosoft Azure Table Storage
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