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DBMS > dBASE vs. Greenplum vs. GridDB vs. Speedb

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

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Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonGreenplum  Xexclude from comparisonGridDB  Xexclude from comparisonSpeedb  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.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 DataAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDB
Primary database modelRelational DBMSRelational DBMSTime Series DBMSKey-value store
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
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.26
Rank#310  Overall
#45  Key-value stores
Websitewww.dbase.comgreenplum.orggriddb.netwww.speedb.io
Technical documentationwww.dbase.com/­support/­knowledgebasedocs.greenplum.orgdocs.griddb.net
DeveloperAsthon TatePivotal Software Inc.Toshiba CorporationSpeedb
Initial release1979200520132020
Current releasedBASE 2019, 20197.0.0, September 20235.1, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache Version 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
LinuxLinuxLinux
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infonumerical, string, blob, geometry, boolean, timestampno
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 infosince Version 4.2nono
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoyesSQL92, SQL-like TQL (Toshiba Query Language)no
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources.JDBC
ODBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Supported programming languagesdBase proprietary IDEC
Java
Perl
Python
R
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.yesnono
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integrityyesyesnono
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 DBMSACIDACID at container levelyes
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.noyesyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardAccess rights for users can be defined per databaseno
More information provided by the system vendor
dBASEGreenplumGridDBSpeedb
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Speedb is an embedded key-value storage engine for versatile use cases. It was designed...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Speedb Open-source rebases on RocksDB's latest versions, with enhanced capabilities...
» 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
Open source - Speedb OSS is released under an Apache license and can be found on...
» more

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