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DBMS > Apache Druid vs. BigchainDB vs. Citus vs. Heroic vs. Hypertable

System Properties Comparison Apache Druid vs. BigchainDB vs. Citus vs. Heroic vs. Hypertable

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBigchainDB  Xexclude from comparisonCitus  Xexclude from comparisonHeroic  Xexclude from comparisonHypertable  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 dataBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchAn open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelRelational DBMS
Time Series DBMS
Document storeRelational DBMSTime Series DBMSWide column store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score2.15
Rank#123  Overall
#60  Relational DBMS
Score0.57
Rank#250  Overall
#21  Time Series DBMS
Websitedruid.apache.orgwww.bigchaindb.comwww.citusdata.comgithub.com/­spotify/­heroic
Technical documentationdruid.apache.org/­docs/­latest/­designbigchaindb.readthedocs.io/­en/­latestdocs.citusdata.comspotify.github.io/­heroic
DeveloperApache Software Foundation and contributorsSpotifyHypertable Inc.
Initial release20122016201020142009
Current release29.0.1, April 20248.1, December 20180.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoAGPL v3Open Source infoAGPL, commercial license also availableOpen Source infoApache 2.0Open Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonCJavaC++
Server operating systemsLinux
OS X
Unix
LinuxLinuxLinux
OS X
Windows infoan inofficial Windows port is available
Data schemeyes infoschema-less columns are supportedschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesyesno
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.nonoyes infospecific XML type available, but no XML query functionalityno
Secondary indexesyesyesyes infovia Elasticsearchrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLSQL for queryingnoyes infostandard, with numerous extensionsnono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
CLI Client
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HQL (Heroic Query Language, a JSON-based language)
HTTP API
C++ API
Thrift
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factorSource-replica replication infoother methods possible by using 3rd party extensionsyesselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyesfine grained access rights according to SQL-standardno

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More resources
Apache DruidBigchainDBCitusHeroicHypertable
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