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DBMS > FileMaker vs. GridDB vs. HBase vs. SwayDB

System Properties Comparison FileMaker vs. GridDB vs. HBase vs. SwayDB

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Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonGridDB  Xexclude from comparisonHBase  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.Scalable in-memory time series database optimized for IoT and Big DataWide-column store based on Apache Hadoop and on concepts of BigTableAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMSTime Series DBMSWide column storeKey-value store
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.00
Rank#382  Overall
#59  Key-value stores
Websitewww.claris.com/­filemakergriddb.nethbase.apache.orgswaydb.simer.au
Technical documentationwww.claris.com/­resources/­documentationdocs.griddb.nethbase.apache.org/­book.html
DeveloperClaris infoa subsidiary of AppleToshiba CorporationApache Software Foundation infoApache top-level project, originally developed by PowersetSimer Plaha
Initial release1983201320082018
Current release19.4.1, November 20215.1, August 20222.3.4, January 2021
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache version 2Open Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaScala
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
LinuxLinux
Unix
Windows infousing Cygwin
Data schemeyesyesschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampoptions to bring your own types, AVROno
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.yes infoA http query request can return the data in XML formatnonono
Secondary indexesyesyesnono
SQL infoSupport of SQLyes infovia pluginsSQL92, SQL-like TQL (Toshiba Query Language)nono
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Java API
RESTful HTTP API
Thrift
Supported programming languagesPHPC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
Java
Kotlin
Scala
Server-side scripts infoStored proceduresyesnoyes infoCoprocessors in Javano
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14Source-replica replicationMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at container levelSingle row ACID (across millions of columns)Atomic execution of operations
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.yesyesyes
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesAccess rights for users can be defined per databaseAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACno
More information provided by the system vendor
FileMakerGridDBHBaseSwayDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
FileMakerGridDBHBaseSwayDB
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