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DBMS > Bangdb vs. Hazelcast vs. InfluxDB vs. Valentina Server

System Properties Comparison Bangdb vs. Hazelcast vs. InfluxDB vs. Valentina Server

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonHazelcast  Xexclude from comparisonInfluxDB  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA widely adopted in-memory data gridDBMS for storing time series, events and metricsObject-relational database and reports server
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Key-value storeTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store infoJSON support with IMDG 3.12Spatial 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
Score5.97
Rank#57  Overall
#6  Key-value stores
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitebangdb.comhazelcast.comwww.influxdata.com/­products/­influxdb-overviewwww.valentina-db.net
Technical documentationdocs.bangdb.comhazelcast.org/­imdg/­docsdocs.influxdata.com/­influxdbvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperSachin Sinha, BangDBHazelcastParadigma Software
Initial release2012200820131999
Current releaseBangDB 2.0, October 20215.3.6, November 20232.7.6, April 20245.7.5
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache Version 2; commercial licenses availableOpen Source infoMIT-License; commercial enterprise version availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaGo
Server operating systemsLinuxAll OS with a Java VMLinux
OS X infothrough Homebrew
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesNumeric data and Stringsyes
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.noyes infothe object must implement a serialization strategyno
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesnoyes
SQL infoSupport of SQLSQL like support with command line toolSQL-like query languageSQL-like query languageyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
HTTP API
JSON over UDP
ODBC
Supported programming languagesC
C#
C++
Java
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Servicesnoyes
Triggersyes, Notifications (with Streaming only)yes infoEventsnoyes
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 only
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yes infoReplicated Mapselectable replication factor infoin enterprise version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedno
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyes
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 modeyesyes infoDepending on used storage engineyes
User concepts infoAccess controlyes (enterprise version only)Role-based access controlsimple rights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
BangdbHazelcastInfluxDBValentina Server
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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More resources
BangdbHazelcastInfluxDBValentina Server
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