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DBMS > Apache Druid vs. Badger vs. HugeGraph vs. IBM Cloudant vs. JaguarDB

System Properties Comparison Apache Druid vs. Badger vs. HugeGraph vs. IBM Cloudant vs. JaguarDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBadger  Xexclude from comparisonHugeGraph  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonJaguarDB  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.A fast-speed and highly-scalable Graph DBMSDatabase as a Service offering based on Apache CouchDBPerformant, highly scalable DBMS for AI and IoT applications
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeGraph DBMSDocument storeKey-value store
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Websitedruid.apache.orggithub.com/­dgraph-io/­badgergithub.com/­hugegraph
hugegraph.apache.org
www.ibm.com/­products/­cloudantwww.jaguardb.com
Technical documentationdruid.apache.org/­docs/­latest/­designgodoc.org/­github.com/­dgraph-io/­badgerhugegraph.apache.org/­docscloud.ibm.com/­docs/­Cloudantwww.jaguardb.com/­support.html
DeveloperApache Software Foundation and contributorsDGraph LabsBaiduIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014DataJaguar, Inc.
Initial release20122017201820102015
Current release29.0.1, April 20240.93.3 July 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0Open Source infoApache Version 2.0commercialOpen Source infoGPL V3.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoJavaErlangC++ infothe server part. Clients available in other languages
Server operating systemsLinux
OS X
Unix
BSD
Linux
OS X
Solaris
Windows
Linux
macOS
Unix
hostedLinux
Data schemeyes infoschema-less columns are supportedschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesnoyes
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.nonononono
Secondary indexesyesnoyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLSQL for queryingnononoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggers
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Java API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP/JSON APIJDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
GoGroovy
Java
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoasynchronous Gremlin script jobsView functions (Map-Reduce) in JavaScriptno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication
Source-replica replication
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparkyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno infoatomic operations within a document possibleno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoOptimistic lockingyes
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.nonoyesnono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoUsers, roles and permissionsAccess rights for users can be defined per databaserights management via user accounts

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More resources
Apache DruidBadgerHugeGraphIBM CloudantJaguarDB
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