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DBMS > Bangdb vs. InfinityDB vs. InfluxDB vs. Transbase

System Properties Comparison Bangdb vs. InfinityDB vs. InfluxDB vs. Transbase

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonInfinityDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA Java embedded Key-Value Store which extends the Java Map interfaceDBMS for storing time series, events and metricsA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Key-value storeTime Series 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
Score0.00
Rank#378  Overall
#57  Key-value stores
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitebangdb.comboilerbay.comwww.influxdata.com/­products/­influxdb-overviewwww.transaction.de/­en/­products/­transbase.html
Technical documentationdocs.bangdb.comboilerbay.com/­infinitydb/­manualdocs.influxdata.com/­influxdbwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperSachin Sinha, BangDBBoiler Bay Inc.Transaction Software GmbH
Initial release2012200220131987
Current releaseBangDB 2.0, October 20214.02.7.6, April 2024Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen Source infoMIT-License; commercial enterprise version availablecommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaGoC and C++
Server operating systemsLinuxAll OS with a Java VMLinux
OS X infothrough Homebrew
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-freeyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysNumeric 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.nononono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialno infomanual creation possible, using inversions based on multi-value capabilitynoyes
SQL infoSupport of SQLSQL like support with command line toolnoSQL-like query languageyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
HTTP API
JSON over UDP
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC
C#
C++
Java
Python
Java.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnononoyes
Triggersyes, Notifications (with Streaming only)nonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnoneSharding infoin enterprise version only
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)noneselectable replication factor infoin enterprise version onlySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilitynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsnoyes
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 modenoyes infoDepending on used storage engineno
User concepts infoAccess controlyes (enterprise version only)nosimple rights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
BangdbInfinityDBInfluxDBTransbase
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
BangdbInfinityDBInfluxDBTransbase
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provided by Google News



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