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DBMS > Drizzle vs. SQLite vs. Stardog vs. WakandaDB

System Properties Comparison Drizzle vs. SQLite vs. Stardog vs. WakandaDB

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonSQLite  Xexclude from comparisonStardog  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.Widely used embeddable, in-process RDBMSEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSRelational DBMSGraph DBMS
RDF store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score114.32
Rank#10  Overall
#7  Relational DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.sqlite.orgwww.stardog.comwakanda.github.io
Technical documentationwww.sqlite.org/­docs.htmldocs.stardog.comwakanda.github.io/­doc
DeveloperDrizzle project, originally started by Brian AkerDwayne Richard HippStardog-UnionWakanda SAS
Initial release2008200020102012
Current release7.2.4, September 20123.45.3  (15 April 2024), April 20247.3.0, May 20202.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoPublic Domaincommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CJavaC++, JavaScript
Server operating systemsFreeBSD
Linux
OS X
server-lessLinux
macOS
Windows
Linux
OS X
Windows
Data schemeyesyes infodynamic column typesschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyesyes infonot rigid because of 'dynamic typing' concept.yesyes
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 infoImport/export of XML data possibleno
Secondary indexesyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLyes infowith proprietary extensionsyes infoSQL-92 is not fully supportedYes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methodsJDBCADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
RESTful HTTP API
Supported programming languagesC
C++
Java
PHP
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresnonouser defined functions and aggregates, HTTP Server extensions in Javayes
Triggersno infohooks for callbacks inside the server can be used.yesyes infovia event handlersyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneMulti-source replication in HA-Clusternone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integrityyesyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infovia file-system locksyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnoAccess rights for users and rolesyes

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More resources
DrizzleSQLiteStardogWakandaDB
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