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DBMS > Apache Druid vs. EsgynDB vs. HBase vs. SQLite

System Properties Comparison Apache Druid vs. EsgynDB vs. HBase vs. SQLite

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonEsgynDB  Xexclude from comparisonHBase  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionWide-column store based on Apache Hadoop and on concepts of BigTableWidely used embeddable, in-process RDBMS
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSWide column storeRelational 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
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score111.41
Rank#10  Overall
#7  Relational DBMS
Websitedruid.apache.orgwww.esgyn.cnhbase.apache.orgwww.sqlite.org
Technical documentationdruid.apache.org/­docs/­latest/­designhbase.apache.org/­book.htmlwww.sqlite.org/­docs.html
DeveloperApache Software Foundation and contributorsEsgynApache Software Foundation infoApache top-level project, originally developed by PowersetDwayne Richard Hipp
Initial release2012201520082000
Current release29.0.1, April 20242.3.4, January 20213.46.0  (23 May 2024), May 2024
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoApache version 2Open Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaJavaC
Server operating systemsLinux
OS X
Unix
LinuxLinux
Unix
Windows infousing Cygwin
server-less
Data schemeyes infoschema-less columns are supportedyesschema-free, schema definition possibleyes infodynamic column types
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROyes infonot rigid because of 'dynamic typing' concept.
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.nononono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL for queryingyesnoyes infoSQL-92 is not fully supported
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Java API
RESTful HTTP API
Thrift
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Groovy
Java
PHP
Python
Scala
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresnoJava Stored Proceduresyes infoCoprocessors in Javano
Triggersnonoyesyes
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 enginesMulti-source replication between multi datacentersMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDSingle row ACID (across millions of columns)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locks
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 controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACno

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Apache DruidEsgynDBHBaseSQLite
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