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DBMS > dBASE vs. FileMaker vs. Hive vs. IRONdb vs. TerarkDB

System Properties Comparison dBASE vs. FileMaker vs. Hive vs. IRONdb vs. TerarkDB

Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonFileMaker  Xexclude from comparisonHive  Xexclude from comparisonIRONdb  Xexclude from comparisonTerarkDB  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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.data warehouse software for querying and managing large distributed datasets, built on HadoopA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.dbase.comwww.claris.com/­filemakerhive.apache.orgwww.circonus.com/solutions/time-series-database/github.com/­bytedance/­terarkdb
Technical documentationwww.dbase.com/­support/­knowledgebasewww.claris.com/­resources/­documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.circonus.com/irondb/category/getting-startedbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperAsthon TateClaris infoa subsidiary of AppleApache Software Foundation infoinitially developed by FacebookCirconus LLC.ByteDance, originally Terark
Initial release19791983201220172016
Current releasedBASE 2019, 201919.4.1, November 20213.1.3, April 2022V0.10.20, January 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2commercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C++
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
iOS infoclient part only
Linux
OS X
Windows
All OS with a Java VMLinux
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infotext, numeric, histogramsno
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 formatnono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLnoyes infovia pluginsSQL-like DML and DDL statementsSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources.Filemaker WebDirect
JDBC
ODBC
JDBC
ODBC
Thrift
HTTP APIC++ API
Java API
Supported programming languagesdBase proprietary IDEPHPC++
Java
PHP
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.yesyes infouser defined functions and integration of map-reduceyes, in Luano
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication, warm standby infosince Version 14selectable replication factorconfigurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integrityyesyesnonono
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 DBMSnononono
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
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 rolesnono

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More resources
dBASEFileMakerHiveIRONdbTerarkDB
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