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DBMS > Vitess vs. WakandaDB vs. YottaDB

System Properties Comparison Vitess vs. WakandaDB vs. YottaDB

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Editorial information provided by DB-Engines
NameVitess  Xexclude from comparisonWakandaDB  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionScalable, distributed, cloud-native DBMS, extending MySQLWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access dataA fast and solid embedded Key-value store
Primary database modelRelational DBMSObject oriented DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.88
Rank#203  Overall
#95  Relational DBMS
Score0.10
Rank#356  Overall
#17  Object oriented DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitevitess.iowakanda.github.ioyottadb.com
Technical documentationvitess.io/­docswakanda.github.io/­docyottadb.com/­resources/­documentation
DeveloperThe Linux Foundation, PlanetScaleWakanda SASYottaDB, LLC
Initial release201320122001
Current release15.0.2, December 20222.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0, commercial licenses availableOpen Source infoAGPLv3, extended commercial license availableOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++, JavaScriptC
Server operating systemsDocker
Linux
macOS
Linux
OS X
Windows
Docker
Linux
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsnoby using the Octo plugin
APIs and other access methodsADO.NET
JDBC
MySQL protocol
ODBC
RESTful HTTP APIPostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
JavaScriptC
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyes infoproprietary syntaxyes
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integrityyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at shard levelACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlUsers with fine-grained authorization concept infono user groups or rolesyesUsers and groups based on OS-security mechanisms

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More resources
VitessWakandaDBYottaDB
Recent citations in the news

PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
18 May 2021, Datanami

PlanetScale grabs YouTube-developed open-source tech, promises Vitess DBaaS with on-the-fly schema changes
18 May 2021, The Register

They scaled YouTube -- now they’ll shard everyone with PlanetScale
13 December 2018, TechCrunch

With Vitess 4.0, database vendor matures cloud-native platform
13 November 2019, TechTarget

Massively Scaling MySQL Using Vitess
19 February 2019, InfoQ.com

provided by Google News



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