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

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

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonNSDb  Xexclude from comparisonSwayDB  Xexclude from comparisonTDengine  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemScalable, 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 platformScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSTime Series DBMSKey-value storeTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational 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
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitewww.4d.comnsdb.ioswaydb.simer.augithub.com/­taosdata/­TDengine
tdengine.com
vitess.io
Technical documentationdeveloper.4d.comnsdb.io/­Architecturedocs.tdengine.comvitess.io/­docs
Developer4D, IncSimer PlahaTDEngine, previously Taos DataThe Linux Foundation, PlanetScale
Initial release19842017201820192013
Current releasev20, April 20233.0, August 202215.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGNU Affero GPL V3.0Open Source infoAGPL V3, also commercial editions availableOpen Source infoApache Version 2.0, commercial licenses 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 languageJava, ScalaScalaCGo
Server operating systemsOS X
Windows
Linux
macOS
Linux
Windows
Docker
Linux
macOS
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringnoyesyes
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.yesnonono
Secondary indexesyesall fields are automatically indexednonoyes
SQL infoSupport of SQLyes infoclose to SQL 92SQL-like query languagenoStandard SQL with extensions for time-series applicationsyes infowith proprietary extensions
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
gRPC
HTTP REST
WebSocket
JDBC
RESTful HTTP API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages4D proprietary IDE
PHP
Java
Scala
Java
Kotlin
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesnononoyes infoproprietary syntax
Triggersyesnoyes, via alarm monitoringyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesnononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of operationsACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlUsers and groupsnoyesUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
4D infoformer name: 4th DimensionNSDbSwayDBTDengineVitess
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
4D infoformer name: 4th DimensionNSDbSwayDBTDengineVitess
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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

PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
18 May 2021, Datanami

PlanetScale grabs YouTube-developed open-source tech, promises Vitess DBaaS with on-the-fly schema changes
18 May 2021, The Register

They scaled YouTube -- now they’ll shard everyone with PlanetScale
13 December 2018, TechCrunch

With Vitess 4.0, database vendor matures cloud-native platform
13 November 2019, TechTarget

Massively Scaling MySQL Using Vitess
19 February 2019, InfoQ.com

provided by Google News



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