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DBMS > Apache Druid vs. Bangdb vs. Heroic vs. Linter

System Properties Comparison Apache Druid vs. Bangdb vs. Heroic vs. Linter

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBangdb  Xexclude from comparisonHeroic  Xexclude from comparisonLinter  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataConverged and high performance database for device data, events, time series, document and graphTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchRDBMS for high security requirements
Primary database modelRelational DBMS
Time Series DBMS
Document store
Graph DBMS
Time Series DBMS
Time Series DBMSRelational DBMS
Secondary database modelsSpatial DBMSSpatial 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
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Websitedruid.apache.orgbangdb.comgithub.com/­spotify/­heroiclinter.ru
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.bangdb.comspotify.github.io/­heroic
DeveloperApache Software Foundation and contributorsSachin Sinha, BangDBSpotifyrelex.ru
Initial release2012201220141990
Current release29.0.1, April 2024BangDB 2.0, October 2021
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoBSD 3Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++JavaC and C++
Server operating systemsLinux
OS X
Unix
LinuxAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Data schemeyes infoschema-less columns are supportedschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesyes
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 indexesyesyes infosecondary, composite, nested, reverse, geospatialyes infovia Elasticsearchyes
SQL infoSupport of SQLSQL for queryingSQL like support with command line toolnoyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Proprietary protocol
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Java
Python
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresnononoyes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersnoyes, Notifications (with Streaming only)noyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factor, Knob for CAP (enterprise version only)yesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, run db with in-memory only modeno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyes (enterprise version only)fine grained access rights according to SQL-standard

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More resources
Apache DruidBangdbHeroicLinter
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