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DBMS > dBASE vs. Drizzle vs. Splice Machine vs. TDengine vs. WakandaDB

System Properties Comparison dBASE vs. Drizzle vs. Splice Machine vs. TDengine vs. WakandaDB

Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonDrizzle  Xexclude from comparisonSplice Machine  Xexclude from comparisonTDengine  Xexclude from comparisonWakandaDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
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.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkTime Series DBMS and big data platformWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMSObject oriented DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.dbase.comsplicemachine.comgithub.com/­taosdata/­TDengine
tdengine.com
wakanda.github.io
Technical documentationwww.dbase.com/­support/­knowledgebasesplicemachine.com/­how-it-worksdocs.tdengine.comwakanda.github.io/­doc
DeveloperAsthon TateDrizzle project, originally started by Brian AkerSplice MachineTDEngine, previously Taos DataWakanda SAS
Initial release19792008201420192012
Current releasedBASE 2019, 20197.2.4, September 20123.1, March 20213.0, August 20222.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLOpen Source infoAGPL 3.0, commercial license availableOpen Source infoAGPL V3, also commercial editions availableOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaCC++, JavaScript
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
FreeBSD
Linux
OS X
Linux
OS X
Solaris
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoyes infowith proprietary extensionsyesStandard SQL with extensions for time-series applicationsno
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources.JDBCJDBC
Native Spark Datasource
ODBC
JDBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesdBase proprietary IDEC
C++
Java
PHP
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
JavaScript
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.noyes infoJavanoyes
Triggersnono infohooks for callbacks inside the server can be used.yesyes, via alarm monitoringyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShared Nothhing Auto-Sharding, Columnar PartitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesno
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 DBMSACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
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.yesno
User concepts infoAccess controlAccess rights for users and rolesPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and roles according to SQL-standardyesyes
More information provided by the system vendor
dBASEDrizzleSplice MachineTDengineWakandaDB
Specific characteristicsTDengineā„¢ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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