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DBMS > dBASE vs. DolphinDB vs. Google Cloud Bigtable vs. Memcached vs. mSQL

System Properties Comparison dBASE vs. DolphinDB vs. Google Cloud Bigtable vs. Memcached vs. mSQL

Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonDolphinDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMemcached  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.DolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.In-memory key-value store, originally intended for cachingmSQL (Mini SQL) is a simple and lightweight RDBMS
Primary database modelRelational DBMSTime Series DBMSKey-value store
Wide column store
Key-value storeRelational 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
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score18.08
Rank#32  Overall
#4  Key-value stores
Score1.27
Rank#169  Overall
#76  Relational DBMS
Websitewww.dbase.comwww.dolphindb.comcloud.google.com/­bigtablewww.memcached.orghughestech.com.au/­products/­msql
Technical documentationwww.dbase.com/­support/­knowledgebasedocs.dolphindb.cn/­en/­help200/­index.htmlcloud.google.com/­bigtable/­docsgithub.com/­memcached/­memcached/­wiki
DeveloperAsthon TateDolphinDB, IncGoogleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalHughes Technologies
Initial release19792018201520031994
Current releasedBASE 2019, 2019v2.00.4, January 20221.6.27, May 20244.4, October 2021
License infoCommercial or Open Sourcecommercialcommercial infofree community version availablecommercialOpen Source infoBSD licensecommercial 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 languageC++CC
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
Linux
Windows
hostedFreeBSD
Linux
OS X
Unix
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnonoyes
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
Secondary indexesyesyesnonoyes
SQL infoSupport of SQLnoSQL-like query languagenonoA 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.JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Proprietary protocolJDBC
ODBC
Supported programming languagesdBase proprietary IDEC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.yesnonono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesInternal replication in Colossus, and regional replication between two clusters in different zonesnone infoRepcached, a Memcached patch, provides this functionallitynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)none
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 DBMSyesAtomic single-row operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess rights for users and rolesAdministrators, Users, GroupsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infousing SASL (Simple Authentication and Security Layer) protocolno

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More resources
dBASEDolphinDBGoogle Cloud BigtableMemcachedmSQL infoMini SQL
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