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DBMS > Bangdb vs. InfluxDB vs. Trafodion vs. VoltDB

System Properties Comparison Bangdb vs. InfluxDB vs. Trafodion vs. VoltDB

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonInfluxDB  Xexclude from comparisonTrafodion  Xexclude from comparisonVoltDB  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionConverged and high performance database for device data, events, time series, document and graphDBMS for storing time series, events and metricsTransactional SQL-on-Hadoop DBMSDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Time Series DBMSRelational DBMSRelational 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
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitebangdb.comwww.influxdata.com/­products/­influxdb-overviewtrafodion.apache.orgwww.voltdb.com
Technical documentationdocs.bangdb.comdocs.influxdata.com/­influxdbtrafodion.apache.org/­documentation.htmldocs.voltdb.com
DeveloperSachin Sinha, BangDBApache Software Foundation, originally developed by HPVoltDB Inc.
Initial release2012201320142010
Current releaseBangDB 2.0, October 20212.7.6, April 20242.3.0, February 201911.3, April 2022
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoMIT-License; commercial enterprise version availableOpen Source infoApache 2.0Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++GoC++, JavaJava, C++
Server operating systemsLinuxLinux
OS X infothrough Homebrew
LinuxLinux
OS X infofor development
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsNumeric data and Stringsyesyes
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
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialnoyesyes
SQL infoSupport of SQLSQL like support with command line toolSQL-like query languageyesyes infoonly a subset of SQL 99
APIs and other access methodsProprietary protocol
RESTful HTTP API
HTTP API
JSON over UDP
ADO.NET
JDBC
ODBC
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Java
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnonoJava Stored ProceduresJava
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 algorithmSharding infoin enterprise version onlyShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)selectable replication factor infoin enterprise version onlyyes, via HBaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia user defined functions and HBaseno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate Consistency
Foreign keys infoReferential integritynonoyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes infoSnapshots and command logging
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)simple rights management via user accountsfine grained access rights according to SQL-standardUsers and roles with access to stored procedures
More information provided by the system vendor
BangdbInfluxDBTrafodionVoltDB
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
BangdbInfluxDBTrafodionVoltDB
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