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DBMS > dBASE vs. EJDB vs. Google Cloud Bigtable vs. Ingres vs. mSQL

System Properties Comparison dBASE vs. EJDB vs. Google Cloud Bigtable vs. Ingres vs. mSQL

Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonEJDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonIngres  Xexclude from comparisonmSQL infoMini SQL  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.Embeddable document-store database library with JSON representation of queries (in MongoDB style)Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Well established RDBMSmSQL (Mini SQL) is a simple and lightweight RDBMS
Primary database modelRelational DBMSDocument storeKey-value store
Wide column store
Relational DBMSRelational 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#296  Overall
#44  Document stores
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Websitewww.dbase.comgithub.com/­Softmotions/­ejdbcloud.google.com/­bigtablewww.actian.com/­databases/­ingreshughestech.com.au/­products/­msql
Technical documentationwww.dbase.com/­support/­knowledgebasegithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdcloud.google.com/­bigtable/­docsdocs.actian.com/­ingres
DeveloperAsthon TateSoftmotionsGoogleActian CorporationHughes Technologies
Initial release1979201220151974 infooriginally developed at University Berkely in early 1970s1994
Current releasedBASE 2019, 201911.2, May 20224.4, October 2021
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2commercialcommercialcommercial infofree licenses can be provided
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCCC
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
server-lesshostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idnoyesyes
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.nono infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLnononoyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources.in-process shared librarygRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
Supported programming languagesdBase proprietary IDEActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.nonoyesno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslynone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneInternal replication in Colossus, and regional replication between two clusters in different zonesIngres Replicatornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistencynone
Foreign keys infoReferential integrityyesno infotypically not needed, however similar functionality with collection joins possiblenoyesno
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 DBMSnoAtomic single-row operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyes infoMVCCno
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.nonono
User concepts infoAccess controlAccess rights for users and rolesnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardno

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More resources
dBASEEJDBGoogle Cloud BigtableIngresmSQL infoMini SQL
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