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DBMS > FileMaker vs. Google Cloud Datastore vs. Kingbase vs. Percona Server for MongoDB vs. VelocityDB

System Properties Comparison FileMaker vs. Google Cloud Datastore vs. Kingbase vs. Percona Server for MongoDB vs. VelocityDB

Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonKingbase  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.A drop-in replacement for MongoDB Community Edition with enterprise-grade features.A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSDocument storeRelational DBMSDocument storeGraph DBMS
Object oriented DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score0.50
Rank#257  Overall
#119  Relational DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websitewww.claris.com/­filemakercloud.google.com/­datastorewww.kingbase.com.cnwww.percona.com/­mongodb/­software/­percona-server-for-mongodbvelocitydb.com
Technical documentationwww.claris.com/­resources/­documentationcloud.google.com/­datastore/­docsdocs.percona.com/­percona-distribution-for-mongodbvelocitydb.com/­UserGuide
DeveloperClaris infoa subsidiary of AppleGoogleBeiJing KINGBASE Information technologies inc.PerconaVelocityDB Inc
Initial release19832008199920152011
Current release19.4.1, November 2021V8.0, August 20213.4.10-2.10, November 20177.x
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL Version 2commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and JavaC++C#
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
hostedLinux
Windows
LinuxAny that supports .NET
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes, details hereyesyesyes
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 indexesyesyesyesyesyes
SQL infoSupport of SQLyes infovia pluginsSQL-like query language (GQL)Standard with numerous extensionsnono
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
proprietary protocol using JSON.Net
Supported programming languagesPHP.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
.Net
Server-side scripts infoStored proceduresyesusing Google App Engineuser defined functionsJavaScriptno
TriggersyesCallbacks using the Google Apps EngineyesnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14Multi-source replication using PaxosyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyes infovia ReferenceProperties or Ancestor pathsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDnoACID
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.noyes infovia In-Memory Engineyes
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardAccess rights for users and rolesBased on Windows Authentication

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More resources
FileMakerGoogle Cloud DatastoreKingbasePercona Server for MongoDBVelocityDB
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