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DBMS > Apache Drill vs. Apache Druid vs. HarperDB vs. LevelDB

System Properties Comparison Apache Drill vs. Apache Druid vs. HarperDB vs. LevelDB

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonApache Druid  Xexclude from comparisonHarperDB  Xexclude from comparisonLevelDB  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.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string values
Primary database modelDocument store
Relational DBMS
Relational DBMS
Time Series DBMS
Document storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#119  Overall
#23  Document stores
#56  Relational DBMS
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score0.55
Rank#252  Overall
#38  Document stores
Score2.75
Rank#107  Overall
#19  Key-value stores
Websitedrill.apache.orgdruid.apache.orgwww.harperdb.iogithub.com/­google/­leveldb
Technical documentationdrill.apache.org/­docsdruid.apache.org/­docs/­latest/­designdocs.harperdb.io/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperApache Software FoundationApache Software Foundation and contributorsHarperDBGoogle
Initial release2012201220172011
Current release1.20.3, January 202329.0.1, April 20243.1, August 20211.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache license v2commercial infofree community edition availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaNode.jsC++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Unix
Linux
OS X
Illumos
Linux
OS X
Windows
Data schemeschema-freeyes infoschema-less columns are supporteddynamic schemaschema-free
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesno
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 indexesnoyesyesno
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL for queryingSQL-like data manipulation statementsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
RESTful HTTP/JSON API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
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
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresuser defined functionsnoCustom Functions infosince release 3.1no
Triggersnononono
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 clusternone
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 definednone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyes, using LMDByes infowith automatic compression on writes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenoyes
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 rolesno

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More resources
Apache DrillApache DruidHarperDBLevelDB
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