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DBMS > dBASE vs. FeatureBase vs. Greenplum vs. GridDB

System Properties Comparison dBASE vs. FeatureBase vs. Greenplum vs. GridDB

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Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonFeatureBase  Xexclude from comparisonGreenplum  Xexclude from comparisonGridDB  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.Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Scalable in-memory time series database optimized for IoT and Big Data
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.70
Rank#44  Overall
#28  Relational DBMS
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Websitewww.dbase.comwww.featurebase.comgreenplum.orggriddb.net
Technical documentationwww.dbase.com/­support/­knowledgebasedocs.featurebase.comdocs.greenplum.orgdocs.griddb.net
DeveloperAsthon TateMolecula and Pilosa Open Source ContributorsPivotal Software Inc.Toshiba Corporation
Initial release1979201720052013
Current releasedBASE 2019, 20192022, May 20227.0.0, September 20235.1, August 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
Linux
macOS
LinuxLinux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infonumerical, string, blob, geometry, boolean, timestamp
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 infosince Version 4.2no
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnoSQL queriesyesSQL92, SQL-like TQL (Toshiba Query Language)
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources.gRPC
JDBC
Kafka Connector
ODBC
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Supported programming languagesdBase proprietary IDEJava
Python
C
Java
Perl
Python
R
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.yesno
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integrityyesyesyesno
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 DBMSyesACIDACID at container level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyesyes
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 rolesfine grained access rights according to SQL-standardAccess rights for users can be defined per database
More information provided by the system vendor
dBASEFeatureBaseGreenplumGridDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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