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DBMS > FileMaker vs. HugeGraph vs. PostGIS vs. Riak KV vs. SwayDB

System Properties Comparison FileMaker vs. HugeGraph vs. PostGIS vs. Riak KV vs. SwayDB

Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonHugeGraph  Xexclude from comparisonPostGIS  Xexclude from comparisonRiak KV  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.A fast-speed and highly-scalable Graph DBMSSpatial extension of PostgreSQLDistributed, fault tolerant key-value storeAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMSGraph DBMSSpatial DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Score0.04
Rank#387  Overall
#61  Key-value stores
Websitewww.claris.com/­filemakergithub.com/­hugegraph
hugegraph.apache.org
postgis.netswaydb.simer.au
Technical documentationwww.claris.com/­resources/­documentationhugegraph.apache.org/­docspostgis.net/­documentationwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperClaris infoa subsidiary of AppleBaiduOpenSource, formerly Basho TechnologiesSimer Plaha
Initial release19832018200520092018
Current release19.4.1, November 20210.93.4.2, February 20243.2.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGPL v2.0Open Source infoApache version 2, commercial enterprise editionOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCErlangScala
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
Linux
macOS
Unix
Linux
OS X
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnono
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 formatnoyesnono
Secondary indexesyesyes infoalso supports composite index and range indexyesrestrictedno
SQL infoSupport of SQLyes infovia pluginsnoyesnono
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
HTTP API
Native Erlang Interface
Supported programming languagesPHPGroovy
Java
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Java
Kotlin
Scala
Server-side scripts infoStored proceduresyesasynchronous Gremlin script jobsuser defined functionsErlangno
Triggersyesnoyesyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseyes infobased on PostgreSQLSharding infono "single point of failure"none
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14yes infodepending on used storage backend, e.g. Cassandra and HBaseyes infobased on PostgreSQLselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoedges in graphyesno infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnoyes
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesUsers, roles and permissionsyes infobased on PostgreSQLyes, using Riak Securityno

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More resources
FileMakerHugeGraphPostGISRiak KVSwayDB
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