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DBMS > Apache Drill vs. Apache Druid vs. HarperDB vs. Valentina Server

System Properties Comparison Apache Drill vs. Apache Druid vs. HarperDB vs. Valentina Server

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonApache Druid  Xexclude from comparisonHarperDB  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Object-relational database and reports server
Primary database modelDocument store
Relational DBMS
Relational DBMS
Time Series DBMS
Document storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitedrill.apache.orgdruid.apache.orgwww.harperdb.iowww.valentina-db.net
Technical documentationdrill.apache.org/­docsdruid.apache.org/­docs/­latest/­designdocs.harperdb.io/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperApache Software FoundationApache Software Foundation and contributorsHarperDBParadigma Software
Initial release2012201220171999
Current release1.20.3, January 202329.0.1, April 20243.1, August 20215.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache license v2commercial infofree community edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaNode.js
Server operating systemsLinux
OS X
Windows
Linux
OS X
Unix
Linux
OS X
Linux
OS X
Windows
Data schemeschema-freeyes infoschema-less columns are supporteddynamic schemayes
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesyes
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 indexesnoyesyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL for queryingSQL-like data manipulation statementsyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
RESTful HTTP/JSON API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ODBC
Supported programming languagesC++Clojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functionsnoCustom Functions infosince release 3.1yes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infomanual/auto, time-basedA table resides as a whole on one (or more) nodes in a cluster
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes infothe nodes on which a table resides can be defined
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoAtomic execution of specific operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenoyesyes
User concepts infoAccess controlDepending on the underlying data sourceRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
Apache DrillApache DruidHarperDBValentina Server
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