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DBMS > Badger vs. Citus vs. EXASOL vs. Qdrant

System Properties Comparison Badger vs. Citus vs. EXASOL vs. Qdrant

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonCitus  Xexclude from comparisonEXASOL  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Scalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A high-performance vector database with neural network or semantic-based matching
Primary database modelKey-value storeRelational DBMSRelational DBMSVector DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score1.28
Rank#167  Overall
#6  Vector DBMS
Websitegithub.com/­dgraph-io/­badgerwww.citusdata.comwww.exasol.comgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.citusdata.comwww.exasol.com/­resourcesqdrant.tech/­documentation
DeveloperDGraph LabsExasolQdrant
Initial release2017201020002021
Current release8.1, December 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL, commercial license also availablecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoCRust
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxDocker
Linux
macOS
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesNumbers, Strings, Geo, Boolean
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.noyes infospecific XML type available, but no XML query functionalitynono
Secondary indexesnoyesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLnoyes infostandard, with numerous extensionsyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.Net
JDBC
ODBC
WebSocket
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesGo.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Lua
Python
R
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functions
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication infoother methods possible by using 3rd party extensionsCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardKey-based authentication

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More resources
BadgerCitusEXASOLQdrant
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