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DBMS > dBASE vs. Dragonfly vs. FileMaker vs. Google Cloud Bigtable vs. Hazelcast

System Properties Comparison dBASE vs. Dragonfly vs. FileMaker vs. Google Cloud Bigtable vs. Hazelcast

Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonDragonfly  Xexclude from comparisonFileMaker  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHazelcast  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.A drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceFileMaker 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 grid
Primary database modelRelational DBMSKey-value storeRelational DBMSKey-value store
Wide column store
Key-value store
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
Score0.49
Rank#261  Overall
#38  Key-value stores
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
Websitewww.dbase.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.claris.com/­filemakercloud.google.com/­bigtablehazelcast.com
Technical documentationwww.dbase.com/­support/­knowledgebasewww.dragonflydb.io/­docswww.claris.com/­resources/­documentationcloud.google.com/­bigtable/­docshazelcast.org/­imdg/­docs
DeveloperAsthon TateDragonflyDB team and community contributorsClaris infoa subsidiary of AppleGoogleHazelcast
Initial release19792023198320152008
Current releasedBASE 2019, 20191.0, March 202319.4.1, November 20215.3.6, November 2023
License infoCommercial or Open SourcecommercialOpen Source infoBSL 1.1commercialcommercialOpen Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
LinuxiOS infoclient part only
Linux
OS X
Windows
hostedAll OS with a Java VM
Data schemeyesscheme-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysyesnoyes
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.noyes infoA http query request can return the data in XML formatnoyes infothe object must implement a serialization strategy
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLnonoyes infovia pluginsnoSQL-like query language
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources.Proprietary protocol infoRESP - REdis Serialization ProtocolFilemaker WebDirect
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesdBase proprietary IDEC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
PHPC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.Luayesnoyes infoEvent Listeners, Executor Services
Triggersnopublish/subscribe channels provide some trigger functionalityyesnoyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSource-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 methodsnononoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate 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 integrityyesnoyesnono
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 DBMSAtomic execution of command blocks and scriptsnoAtomic single-row operationsone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyesyes
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 controlAccess rights for users and rolesPassword-based authenticationsimple 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 control

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More resources
dBASEDragonflyFileMakerGoogle Cloud BigtableHazelcast
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