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DBMS > Apache Druid vs. Hive vs. JaguarDB vs. Memcached

System Properties Comparison Apache Druid vs. Hive vs. JaguarDB vs. Memcached

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonHive  Xexclude from comparisonJaguarDB  Xexclude from comparisonMemcached  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality datadata warehouse software for querying and managing large distributed datasets, built on HadoopPerformant, highly scalable DBMS for AI and IoT applicationsIn-memory key-value store, originally intended for caching
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSKey-value store
Vector DBMS
Key-value store
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
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Websitedruid.apache.orghive.apache.orgwww.jaguardb.comwww.memcached.org
Technical documentationdruid.apache.org/­docs/­latest/­designcwiki.apache.org/­confluence/­display/­Hive/­Homewww.jaguardb.com/­support.htmlgithub.com/­memcached/­memcached/­wiki
DeveloperApache Software Foundation and contributorsApache Software Foundation infoinitially developed by FacebookDataJaguar, Inc.Danga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release2012201220152003
Current release29.0.1, April 20243.1.3, April 20223.3 July 20231.6.27, May 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2Open Source infoGPL V3.0Open Source infoBSD license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++ infothe server part. Clients available in other languagesC
Server operating systemsLinux
OS X
Unix
All OS with a Java VMLinuxFreeBSD
Linux
OS X
Unix
Windows
Data schemeyes infoschema-less columns are supportedyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL for queryingSQL-like DML and DDL statementsA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
JDBC
ODBC
Proprietary protocol
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C++
Java
PHP
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reducenono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factorMulti-source replicationnone infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and rolesrights management via user accountsyes infousing SASL (Simple Authentication and Security Layer) protocol

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Apache DruidHiveJaguarDBMemcached
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