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DBMS > dBASE vs. Google Cloud Datastore vs. HugeGraph vs. Interbase vs. mSQL

System Properties Comparison dBASE vs. Google Cloud Datastore vs. HugeGraph vs. Interbase vs. mSQL

Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonHugeGraph  Xexclude from comparisonInterbase  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.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA fast-speed and highly-scalable Graph DBMSLight-weight proven RDBMS infooriginally from BorlandmSQL (Mini SQL) is a simple and lightweight RDBMS
Primary database modelRelational DBMSDocument storeGraph DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Websitewww.dbase.comcloud.google.com/­datastoregithub.com/­hugegraph
hugegraph.apache.org
www.embarcadero.com/­products/­interbasehughestech.com.au/­products/­msql
Technical documentationwww.dbase.com/­support/­knowledgebasecloud.google.com/­datastore/­docshugegraph.apache.org/­docsdocs.embarcadero.com/­products/­interbase
DeveloperAsthon TateGoogleBaiduEmbarcaderoHughes Technologies
Initial release19792008201819841994
Current releasedBASE 2019, 20190.9InterBase 2020, December 20194.4, October 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercialcommercial infofree licenses can be provided
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
hostedLinux
macOS
Unix
Android
iOS
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes, details hereyesyesyes
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.nonono infoexport as XML data possibleno
Secondary indexesyesyesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLnoSQL-like query language (GQL)noyesA 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.gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languagesdBase proprietary IDE.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Groovy
Java
Python
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.using Google App Engineasynchronous Gremlin script jobsyes infoInterbase procedure and trigger languageno
TriggersnoCallbacks using the Google Apps Enginenoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication using Paxosyes infodepending on used storage backend, e.g. Cassandra and HBaseInterbase Change Viewsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowvia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Eventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesyes infovia ReferenceProperties or Ancestor pathsyes infoedges in graphyesno
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 DBMSACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMultiversion concurreny controlno
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.noyesyesno
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users, roles and permissionsfine grained access rights according to SQL-standardno

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More resources
dBASEGoogle Cloud DatastoreHugeGraphInterbasemSQL infoMini SQL
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