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DBMS > Apache Druid vs. Badger vs. GeoSpock

System Properties Comparison Apache Druid vs. Badger vs. GeoSpock

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBadger  Xexclude from comparisonGeoSpock  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Spatial and temporal data processing engine for extreme data scale
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.32
Rank#129  Overall
#63  Relational DBMS
#9  Time Series DBMS
Score0.14
Rank#362  Overall
#55  Key-value stores
Score0.34
Rank#296  Overall
#135  Relational DBMS
Websitedruid.apache.orggithub.com/­dgraph-io/­badgergeospock.com
Technical documentationdruid.apache.org/­docs/­latest/­designgodoc.org/­github.com/­dgraph-io/­badgerdocs.geospock.com/­Content/­Home.htm
DeveloperApache Software Foundation and contributorsDGraph LabsGeoSpock
Initial release20122017
Current release25.0.0, January 20232.0, September 2019
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJava, Javascript
Server operating systemsLinux
OS X
Unix
BSD
Linux
OS X
Solaris
Windows
hosted
Data schemeyes infoschema-less columns are supportedschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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 indexesyesnotemporal, categorical
SQL infoSupport of SQLSQL for queryingnoANSI SQL for query only (using Presto)
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nonono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoAccess rights for users can be defined per table

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More resources
Apache DruidBadgerGeoSpock
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