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DBMS > Badger vs. BaseX vs. GeoSpock vs. QuestDB

System Properties Comparison Badger vs. BaseX vs. GeoSpock vs. QuestDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBaseX  Xexclude from comparisonGeoSpock  Xexclude from comparisonQuestDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Light-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Spatial and temporal data processing engine for extreme data scaleA high performance open source SQL database for time series data
Primary database modelKey-value storeNative XML DBMSRelational DBMSTime Series DBMS
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerbasex.orggeospock.comquestdb.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.basex.orgquestdb.io/­docs
DeveloperDGraph LabsBaseX GmbHGeoSpockQuestDB Technology Inc
Initial release201720072014
Current release11.0, June 20242.0, September 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSD licensecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaJava, JavascriptJava (Zero-GC), C++, Rust
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
hostedLinux
macOS
Windows
Data schemeschema-freeschema-freeyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or datenono infoXQuery supports typesyesyes
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.nonono
Secondary indexesnoyestemporal, categoricalno
SQL infoSupport of SQLnonoANSI SQL for query only (using Presto)SQL with time-series extensions
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
JDBCHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesGoActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnoyesnono
Triggersnoyes infovia eventsnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneAutomatic shardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanomultiple readers, single writernoACID for single-table writes
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.nonoyes infothrough memory mapped files
User concepts infoAccess controlnoUsers with fine-grained authorization concept on 4 levelsAccess rights for users can be defined per table
More information provided by the system vendor
BadgerBaseXGeoSpockQuestDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
BadgerBaseXGeoSpockQuestDB
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