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DBMS > 4D vs. Bangdb vs. NSDb vs. SwayDB vs. TDengine

System Properties Comparison 4D vs. Bangdb vs. NSDb vs. SwayDB vs. TDengine

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonBangdb  Xexclude from comparisonNSDb  Xexclude from comparisonSwayDB  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemConverged and high performance database for device data, events, time series, document and graphScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageTime Series DBMS and big data platform
Primary database modelRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Time Series DBMSKey-value storeTime Series DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitewww.4d.combangdb.comnsdb.ioswaydb.simer.augithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdeveloper.4d.comdocs.bangdb.comnsdb.io/­Architecturedocs.tdengine.com
Developer4D, IncSachin Sinha, BangDBSimer PlahaTDEngine, previously Taos Data
Initial release19842012201720182019
Current releasev20, April 2023BangDB 2.0, October 20213.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3Open Source infoApache Version 2.0Open Source infoGNU Affero GPL V3.0Open Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++Java, ScalaScalaC
Server operating systemsOS X
Windows
LinuxLinux
macOS
Linux
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyes: int, bigint, decimal, stringnoyes
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.yesnononono
Secondary indexesyesyes infosecondary, composite, nested, reverse, geospatialall fields are automatically indexednono
SQL infoSupport of SQLyes infoclose to SQL 92SQL like support with command line toolSQL-like query languagenoStandard SQL with extensions for time-series applications
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
Proprietary protocol
RESTful HTTP API
gRPC
HTTP REST
WebSocket
JDBC
RESTful HTTP API
Supported programming languages4D proprietary IDE
PHP
C
C#
C++
Java
Python
Java
Scala
Java
Kotlin
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyesnononono
Triggersyesyes, Notifications (with Streaming only)noyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesnoneSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factor, Knob for CAP (enterprise version only)noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, run db with in-memory only modeyes
User concepts infoAccess controlUsers and groupsyes (enterprise version only)noyes
More information provided by the system vendor
4D infoformer name: 4th DimensionBangdbNSDbSwayDBTDengine
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

Streamlining Time-Series Data Management with TDengine’s PostgreSQL Connector
12 June 2024

Enhancing IoT and Industrial Data Management with TDengine’s MySQL Connector
12 June 2024

Comprehensive Comparison Between TDengine and MongoDB
6 June 2024

Comprehensive Comparison Between TDengine and TimescaleDB
5 June 2024

Mastering Memory Leak Detection in TDengine
31 May 2024

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More resources
4D infoformer name: 4th DimensionBangdbNSDbSwayDBTDengine
DB-Engines blog posts

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2 March 2016, Paul Andlinger

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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

TDengine Brings Open Source Time-Series Database to Kubernetes
23 August 2022, Cloud Native Now

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

provided by Google News



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