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DBMS > 4D vs. FileMaker vs. HBase vs. TiDB

System Properties Comparison 4D vs. FileMaker vs. HBase vs. TiDB

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonFileMaker  Xexclude from comparisonHBase  Xexclude from comparisonTiDB  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemFileMaker is a cross-platform RDBMS that includes a GUI frontend.Wide-column store based on Apache Hadoop and on concepts of BigTableTiDB is an open source distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high availability.
Primary database modelRelational DBMSRelational DBMSWide column storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score4.66
Rank#70  Overall
#38  Relational DBMS
Websitewww.4d.comwww.claris.com/­filemakerhbase.apache.orgpingcap.com
Technical documentationdeveloper.4d.comwww.claris.com/­resources/­documentationhbase.apache.org/­book.htmldocs.pingcap.com/­tidb/­stable
Developer4D, IncClaris infoa subsidiary of AppleApache Software Foundation infoApache top-level project, originally developed by PowersetPingCAP, Inc.
Initial release1984198320082016
Current releasev20, April 202319.4.1, November 20212.3.4, January 20218.0.0, March 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache version 2Open Source infoApache 2.0
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.
TiDB Cloud: Fully-managed TiDB Service. Bring everything great about TiDB to the cloud.
Implementation languageJavaGo, Rust
Server operating systemsOS X
Windows
iOS infoclient part only
Linux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
Linux
Data schemeyesyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROyes
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.yesyes infoA http query request can return the data in XML formatnono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyes infoclose to SQL 92yes infovia pluginsnoyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
Filemaker WebDirect
JDBC
ODBC
Java API
RESTful HTTP API
Thrift
GORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy
Supported programming languages4D proprietary IDE
PHP
PHPC
C#
C++
Groovy
Java
PHP
Python
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesyesyes infoCoprocessors in Javano
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardinghorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replication, warm standby infosince Version 14Multi-source replication
Source-replica replication
Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes infowith TiSpark Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes infofull support since version 6.6
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoSingle row ACID (across millions of columns)ACID
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.noyesno
User concepts infoAccess controlUsers and groupssimple rights management via user accounts and connection to external directory servicesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACFine grained access rights according to SQL-standard
More information provided by the system vendor
4D infoformer name: 4th DimensionFileMakerHBaseTiDB
Specific characteristicsTiDB is an advanced open-source, distributed SQL database for modern application...
» more
Competitive advantages- HORIZONTAL SCALING : TiDB grants total transparency into your data workloads without...
» more
Typical application scenariosTiDB is ideal for transactional applications that require extreme scalability and...
» more
Key customersBlock, Pinterest, Catalyst, Bolt, Flipkart, Capcom, Shopee (E-commerce), JD Cloud...
» more
Market metrics34K+ GitHub stars 5K+ members in TiDB Community Slack 1K+ community contributors...
» more
Licensing and pricing modelsTiDB Community : Free open source software (Apache 2.0) TiDB Self-Hosted : Enterprise...
» more

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4D infoformer name: 4th DimensionFileMakerHBaseTiDB
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