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DBMS > Bangdb vs. BigObject vs. Hyprcubd vs. TDengine

System Properties Comparison Bangdb vs. BigObject vs. Hyprcubd vs. TDengine

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonBigObject  Xexclude from comparisonHyprcubd  Xexclude from comparisonTDengine  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionConverged and high performance database for device data, events, time series, document and graphAnalytic DBMS for real-time computations and queriesServerless Time Series DBMSTime Series DBMS and big data platform
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMS infoa hierachical model (tree) can be imposedTime Series DBMSTime Series DBMS
Secondary database modelsSpatial DBMSRelational DBMS
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
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitebangdb.combigobject.iohyprcubd.com (offline)github.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.bangdb.comdocs.bigobject.iodocs.tdengine.com
DeveloperSachin Sinha, BangDBBigObject, Inc.Hyprcubd, Inc.TDEngine, previously Taos Data
Initial release201220152019
Current releaseBangDB 2.0, October 20213.0, August 2022
License infoCommercial or Open SourceOpen Source infoBSD 3commercial infofree community edition availablecommercialOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++GoC
Server operating systemsLinuxLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedLinux
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyes infotime, int, uint, float, stringyes
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, geospatialyesnono
SQL infoSupport of SQLSQL like support with command line toolSQL-like DML and DDL statementsSQL-like query languageStandard SQL with extensions for time-series applications
APIs and other access methodsProprietary protocol
RESTful HTTP API
fluentd
ODBC
RESTful HTTP API
gRPC (https)JDBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Java
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnoLuanono
Triggersyes, Notifications (with Streaming only)nonoyes, 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 algorithmnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglynoneEventual Consistency
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyes infoRead/write lock on objects (tables, trees)noyes
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 modeyesno
User concepts infoAccess controlyes (enterprise version only)notoken accessyes
More information provided by the system vendor
BangdbBigObjectHyprcubdTDengine
Specific characteristicsTDengineā„¢ 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
News

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17 May 2024

Can Typical Time-Series Databases Replace Data Historians?
8 May 2024

TDengine 3.3.0.0 Release Notes
7 May 2024

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6 May 2024

Compare InfluxDB vs. TDengine
19 April 2024

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More resources
BangdbBigObjectHyprcubdTDengine
Recent citations in the news

TDengine named Top Global Industrial Data Management Solution
4 January 2024, IT Brief Australia

TDengine debuts cloud-based time-series data processing platform for IoT deployments
20 September 2022, SiliconANGLE News

New TDengine Benchmark Results Show Up to 37.0x Higher Query Performance Than InfluxDB and TimescaleDB
28 February 2023, Yahoo Finance

Comparing Different Time-Series Databases
10 February 2022, hackernoon.com

provided by Google News



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