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DBMS > Bangdb vs. Hive vs. InfluxDB vs. Prometheus

System Properties Comparison Bangdb vs. Hive vs. InfluxDB vs. Prometheus

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonHive  Xexclude from comparisonInfluxDB  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphdata warehouse software for querying and managing large distributed datasets, built on HadoopDBMS for storing time series, events and metricsOpen-source Time Series DBMS and monitoring system
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsSpatial DBMSSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websitebangdb.comhive.apache.orgwww.influxdata.com/­products/­influxdb-overviewprometheus.io
Technical documentationdocs.bangdb.comcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.influxdata.com/­influxdbprometheus.io/­docs
DeveloperSachin Sinha, BangDBApache Software Foundation infoinitially developed by Facebook
Initial release2012201220132015
Current releaseBangDB 2.0, October 20213.1.3, April 20222.7.6, April 2024
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache Version 2Open Source infoMIT-License; commercial enterprise version availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaGoGo
Server operating systemsLinuxAll OS with a Java VMLinux
OS X infothrough Homebrew
Linux
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesNumeric data and StringsNumeric data only
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 infoImport of XML data possible
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesnono
SQL infoSupport of SQLSQL like support with command line toolSQL-like DML and DDL statementsSQL-like query languageno
APIs and other access methodsProprietary protocol
RESTful HTTP API
JDBC
ODBC
Thrift
HTTP API
JSON over UDP
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Java
Python
C++
Java
PHP
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reducenono
Triggersyes, Notifications (with Streaming only)nonono
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding infoin enterprise version onlySharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)selectable replication factorselectable replication factor infoin enterprise version onlyyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual Consistencynone
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyes infoDepending on used storage engineno
User concepts infoAccess controlyes (enterprise version only)Access rights for users, groups and rolessimple rights management via user accountsno
More information provided by the system vendor
BangdbHiveInfluxDBPrometheus
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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