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DBMS > Amazon DocumentDB vs. Datastax Enterprise vs. FileMaker vs. Hive

System Properties Comparison Amazon DocumentDB vs. Datastax Enterprise vs. FileMaker vs. Hive

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonFileMaker  Xexclude from comparisonHive  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.FileMaker is a cross-platform RDBMS that includes a GUI frontend.data warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelDocument storeWide column storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score5.80
Rank#60  Overall
#4  Wide column stores
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.datastax.com/­products/­datastax-enterprisewww.claris.com/­filemakerhive.apache.org
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.datastax.comwww.claris.com/­resources/­documentationcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperDataStaxClaris infoa subsidiary of AppleApache Software Foundation infoinitially developed by Facebook
Initial release2019201119832012
Current release6.8, April 202019.4.1, November 20213.1.3, April 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaJava
Server operating systemshostedLinux
OS X
iOS infoclient part only
Linux
OS X
Windows
All OS with a Java VM
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 format
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statements (CQL); Spark SQLyes infovia pluginsSQL-like DML and DDL statements
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Filemaker WebDirect
JDBC
ODBC
JDBC
ODBC
Thrift
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
PHPC++
Java
PHP
Python
Server-side scripts infoStored proceduresnonoyesyes infouser defined functions and integration of map-reduce
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infono "single point of failure"noneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasconfigurable replication factor, datacenter aware, advanced replication for edge computingSource-replica replication, warm standby infosince Version 14selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsno infoAtomicity and isolation are supported for single operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per objectsimple rights management via user accounts and connection to external directory servicesAccess rights for users, groups and roles
More information provided by the system vendor
Amazon DocumentDBDatastax EnterpriseFileMakerHive
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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Amazon DocumentDBDatastax EnterpriseFileMakerHive
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