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DBMS > dBASE vs. GridGain vs. VoltDB

System Properties Comparison dBASE vs. GridGain vs. VoltDB

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Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonGridGain  Xexclude from comparisonVoltDB  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.GridGain is an in-memory computing platform, built on Apache IgniteDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitewww.dbase.comwww.gridgain.comwww.voltdb.com
Technical documentationwww.dbase.com/­support/­knowledgebasewww.gridgain.com/­docs/­index.htmldocs.voltdb.com
DeveloperAsthon TateGridGain Systems, Inc.VoltDB Inc.
Initial release197920072010
Current releasedBASE 2019, 2019GridGain 8.5.111.3, April 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetJava, C++
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
Linux
OS X
Solaris
Windows
Linux
OS X infofor development
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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
Secondary indexesyesyesyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLyes infoonly a subset of SQL 99
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources.HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesdBase proprietary IDEC#
C++
Java
PHP
Python
Ruby
Scala
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.yes (compute grid and cache interceptors can be used instead)Java
Triggersnoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes (replicated cache)Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesnono infoFOREIGN KEY constraints are not supported
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 infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and rolesSecurity Hooks for custom implementationsUsers and roles with access to stored procedures

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