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DBMS > Apache Druid vs. Dgraph vs. Hypertable vs. Percona Server for MongoDB vs. Quasardb

System Properties Comparison Apache Druid vs. Dgraph vs. Hypertable vs. Percona Server for MongoDB vs. Quasardb

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDgraph  Xexclude from comparisonHypertable  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonQuasardb  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDistributed and scalable native Graph DBMSAn open source BigTable implementation based on distributed file systems such as HadoopA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Distributed, high-performance timeseries database
Primary database modelRelational DBMS
Time Series DBMS
Graph DBMSWide column storeDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitedruid.apache.orgdgraph.iowww.percona.com/­mongodb/­software/­percona-server-for-mongodbquasar.ai
Technical documentationdruid.apache.org/­docs/­latest/­designdgraph.io/­docsdocs.percona.com/­percona-distribution-for-mongodbdoc.quasar.ai/­master
DeveloperApache Software Foundation and contributorsDgraph Labs, Inc.Hypertable Inc.Perconaquasardb
Initial release20122016200920152009
Current release29.0.1, April 20240.9.8.11, March 20163.4.10-2.10, November 20173.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0Open Source infoGNU version 3. Commercial license availableOpen Source infoGPL Version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC++C++C++
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
LinuxBSD
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyesyes infointeger and binary
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 indexesyesyesrestricted infoonly exact value or prefix value scansyesyes infowith tags
SQL infoSupport of SQLSQL for queryingnononoSQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
C++ API
Thrift
proprietary protocol using JSONHTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnononoJavaScriptno
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedyesShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSynchronous replication via Raftselectable replication factor on file system levelSource-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyeswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infovia In-Memory Engineyes infoTransient mode
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemno infoPlanned for future releasesnoAccess rights for users and rolesCryptographically strong user authentication and audit trail

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More resources
Apache DruidDgraphHypertablePercona Server for MongoDBQuasardb
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