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DBMS > dBASE vs. FileMaker vs. Google Cloud Bigtable vs. Hazelcast vs. Valentina Server

System Properties Comparison dBASE vs. FileMaker vs. Google Cloud Bigtable vs. Hazelcast vs. Valentina Server

Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonFileMaker  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHazelcast  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptiondBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A widely adopted in-memory data gridObject-relational database and reports server
Primary database modelRelational DBMSRelational DBMSKey-value store
Wide column store
Key-value storeRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.70
Rank#44  Overall
#28  Relational DBMS
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitewww.dbase.comwww.claris.com/­filemakercloud.google.com/­bigtablehazelcast.comwww.valentina-db.net
Technical documentationwww.dbase.com/­support/­knowledgebasewww.claris.com/­resources/­documentationcloud.google.com/­bigtable/­docshazelcast.org/­imdg/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperAsthon TateClaris infoa subsidiary of AppleGoogleHazelcastParadigma Software
Initial release19791983201520081999
Current releasedBASE 2019, 201919.4.1, November 20215.3.6, November 20235.7.5
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
iOS infoclient part only
Linux
OS X
Windows
hostedAll OS with a Java VMLinux
OS X
Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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 formatnoyes infothe object must implement a serialization strategy
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnoyes infovia pluginsnoSQL-like query languageyes
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources.Filemaker WebDirect
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JCache
JPA
Memcached protocol
RESTful HTTP API
ODBC
Supported programming languagesdBase proprietary IDEPHPC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.yesnoyes infoEvent Listeners, Executor Servicesyes
Triggersnoyesnoyes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication, warm standby infosince Version 14Internal replication in Colossus, and regional replication between two clusters in different zonesyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integrityyesyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infonot for dBase internal data, but IDE does support transactions when accessing external DBMSnoAtomic single-row operationsone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesyes
User concepts infoAccess controlAccess rights for users and rolessimple 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)Role-based access controlfine grained access rights according to SQL-standard

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More resources
dBASEFileMakerGoogle Cloud BigtableHazelcastValentina Server
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