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DBMS > Bangdb vs. Blueflood vs. JaguarDB vs. KairosDB vs. TDengine

System Properties Comparison Bangdb vs. Blueflood vs. JaguarDB vs. KairosDB vs. TDengine

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonBlueflood  Xexclude from comparisonJaguarDB  Xexclude from comparisonKairosDB  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphScalable TimeSeries DBMS based on CassandraPerformant, highly scalable DBMS for AI and IoT applicationsDistributed Time Series DBMS based on Cassandra or H2Time Series DBMS and big data platform
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Time Series DBMSKey-value store
Vector DBMS
Time Series DBMSTime Series DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitebangdb.comblueflood.iowww.jaguardb.comgithub.com/­kairosdb/­kairosdbgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.bangdb.comgithub.com/­rax-maas/­blueflood/­wikiwww.jaguardb.com/­support.htmlkairosdb.github.iodocs.tdengine.com
DeveloperSachin Sinha, BangDBRackspaceDataJaguar, Inc.TDEngine, previously Taos Data
Initial release20122013201520132019
Current releaseBangDB 2.0, October 20213.3 July 20231.2.2, November 20183.0, August 2022
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache 2.0Open Source infoGPL V3.0Open Source infoApache 2.0Open Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++JavaC++ infothe server part. Clients available in other languagesJavaC
Server operating systemsLinuxLinux
OS X
LinuxLinux
OS X
Windows
Linux
Windows
Data schemeschema-freepredefined schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyesyes
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.nonononono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialnoyesnono
SQL infoSupport of SQLSQL like support with command line toolnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnoStandard SQL with extensions for time-series applications
APIs and other access methodsProprietary protocol
RESTful HTTP API
HTTP RESTJDBC
ODBC
Graphite protocol
HTTP REST
Telnet API
JDBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Java
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Java
JavaScript infoNode.js
PHP
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnonononono
Triggersyes, Notifications (with Streaming only)nononoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infobased on CassandraShardingSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)selectable replication factor infobased on CassandraMulti-source replicationselectable replication factor infobased on Cassandrayes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyesyes
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 modenonono
User concepts infoAccess controlyes (enterprise version only)norights management via user accountssimple password-based access controlyes
More information provided by the system vendor
BangdbBluefloodJaguarDBKairosDBTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
BangdbBluefloodJaguarDBKairosDBTDengine
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