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DBMS > dBASE vs. Google Cloud Bigtable vs. mSQL vs. OpenMLDB vs. Quasardb

System Properties Comparison dBASE vs. Google Cloud Bigtable vs. mSQL vs. OpenMLDB vs. Quasardb

Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOpenMLDB  Xexclude from comparisonQuasardb  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.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.mSQL (Mini SQL) is a simple and lightweight RDBMSAn open-source machine learning database that provides a feature platform for training and inferenceDistributed, high-performance timeseries database
Primary database modelRelational DBMSKey-value store
Wide column store
Relational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.70
Rank#44  Overall
#28  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitewww.dbase.comcloud.google.com/­bigtablehughestech.com.au/­products/­msqlopenmldb.aiquasar.ai
Technical documentationwww.dbase.com/­support/­knowledgebasecloud.google.com/­bigtable/­docsopenmldb.ai/­docs/­zh/­maindoc.quasar.ai/­master
DeveloperAsthon TateGoogleHughes Technologies4 Paradigm Inc.quasardb
Initial release19792015199420202009
Current releasedBASE 2019, 20194.4, October 20212024-2 February 20243.14.1, January 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree licenses can be providedOpen Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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 languageCC++, Java, ScalaC++
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
hostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
LinuxBSD
Linux
OS X
Windows
Data schemeyesschema-freeyesFixed schemaschema-free
Typing infopredefined data types such as float or dateyesnoyesyesyes infointeger and binary
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.nononono
Secondary indexesyesnoyesyesyes infowith tags
SQL infoSupport of SQLnonoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyesSQL-like query language
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources.gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
JDBC
SQLAlchemy
HTTP API
Supported programming languagesdBase proprietary IDEC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
C++
Go
Java
Python
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.nononono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonehorizontal partitioningSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneInternal replication in Colossus, and regional replication between two clusters in different zonesnoneSource-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)noneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono
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 DBMSAtomic single-row operationsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infoTransient mode
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nofine grained access rights according to SQL-standardCryptographically strong user authentication and audit trail

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More resources
dBASEGoogle Cloud BigtablemSQL infoMini SQLOpenMLDBQuasardb
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