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DBMS > Drizzle vs. Percona Server for MySQL vs. RisingWave vs. Typesense vs. WakandaDB

System Properties Comparison Drizzle vs. Percona Server for MySQL vs. RisingWave vs. Typesense vs. WakandaDB

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparisonRisingWave  Xexclude from comparisonTypesense  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.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Enhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.A distributed RDBMS for stream processing, wire-compatible with PostgreSQLA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivityWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSRelational DBMSRelational DBMSSearch engineObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.10
Rank#119  Overall
#57  Relational DBMS
Score0.64
Rank#238  Overall
#110  Relational DBMS
Score0.76
Rank#219  Overall
#14  Search engines
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitewww.percona.com/­software/­mysql-database/­percona-serverwww.risingwave.com/­databasetypesense.orgwakanda.github.io
Technical documentationwww.percona.com/­downloads/­Percona-Server-LATESTdocs.risingwave.com/­docs/­current/­introtypesense.org/­docswakanda.github.io/­doc
DeveloperDrizzle project, originally started by Brian AkerPerconaRisingWave LabsWakanda SAS
Initial release20082008202220152012
Current release7.2.4, September 20128.0.36-28, 20241.2, September 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoGPL version 2Open Source infoApache Version 2.0Open Source infoGPL V3Open 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++C and C++RustC++C++, JavaScript
Server operating systemsFreeBSD
Linux
OS X
LinuxDocker
Linux
macOS
LinuxLinux
OS X
Windows
Data schemeyesyesyesschema-free infopre-defined schema optionalyes
Typing infopredefined data types such as float or dateyesyesStandard SQL-types and JSONyesyes
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.yesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsyesyesnono
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
JDBC
PostgreSQL wire protocol
RESTful HTTP APIRESTful HTTP API
Supported programming languagesC
C++
Java
PHP
Ada
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Go
Java
JavaScript (Node.js)
Python
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
JavaScript
Server-side scripts infoStored proceduresnoyesUDFs in Python or Javanoyes
Triggersno infohooks for callbacks inside the server can be used.yesnoyes
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
Multi-source replication
Source-replica replication
XtraDB Cluster
Multi-source replication using RAFTnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesyesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers with fine-grained authorization concept infono user groups or rolesUsers and Rolesyes

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More resources
DrizzlePercona Server for MySQLRisingWaveTypesenseWakandaDB
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