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DBMS > Bangdb vs. Quasardb vs. TDengine vs. TerminusDB

System Properties Comparison Bangdb vs. Quasardb vs. TDengine vs. TerminusDB

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonQuasardb  Xexclude from comparisonTDengine  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphDistributed, high-performance timeseries databaseTime Series DBMS and big data platformScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Time Series DBMSTime Series DBMSGraph DBMS
Secondary database modelsSpatial DBMSRelational DBMSDocument store
RDF store
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
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitebangdb.comquasar.aigithub.com/­taosdata/­TDengine
tdengine.com
terminusdb.com
Technical documentationdocs.bangdb.comdoc.quasar.ai/­masterdocs.tdengine.comterminusdb.github.io/­terminusdb/­#
DeveloperSachin Sinha, BangDBquasardbTDEngine, previously Taos DataDataChemist Ltd.
Initial release2012200920192018
Current releaseBangDB 2.0, October 20213.14.1, January 20243.0, August 202211.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoBSD 3commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoAGPL V3, also commercial editions availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++CProlog, Rust
Server operating systemsLinuxBSD
Linux
OS X
Windows
Linux
Windows
Linux
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyes infointeger and binaryyesyes
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, geospatialyes infowith tagsno
SQL infoSupport of SQLSQL like support with command line toolSQL-like query languageStandard SQL with extensions for time-series applicationsSQL-like query language (WOQL)
APIs and other access methodsProprietary protocol
RESTful HTTP API
HTTP APIJDBC
RESTful HTTP API
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC
C#
C++
Java
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
JavaScript
Python
Server-side scripts infoStored proceduresnononoyes
Triggersyes, Notifications (with Streaming only)noyes, via alarm monitoringyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infoconsistent hashingShardingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Source-replica replication with selectable replication factoryesJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyes infoby using LevelDByesyes infoin-memory journaling
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 infoTransient mode
User concepts infoAccess controlyes (enterprise version only)Cryptographically strong user authentication and audit trailyesRole-based access control
More information provided by the system vendor
BangdbQuasardbTDengineTerminusDB infoformer name was DataChemist
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
News

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22 May 2024

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What Is Predictive Maintenance?
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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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BangdbQuasardbTDengineTerminusDB infoformer name was DataChemist
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