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DBMS > NSDb vs. SpatiaLite vs. SwayDB vs. TDengine

System Properties Comparison NSDb vs. SpatiaLite vs. SwayDB vs. TDengine

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Editorial information provided by DB-Engines
NameNSDb  Xexclude from comparisonSpatiaLite  Xexclude from comparisonSwayDB  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesSpatial extension of SQLiteAn 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 modelTime Series DBMSSpatial DBMSKey-value storeTime Series DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitensdb.iowww.gaia-gis.it/­fossil/­libspatialite/­indexswaydb.simer.augithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationnsdb.io/­Architecturewww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmldocs.tdengine.com
DeveloperAlessandro FurieriSimer PlahaTDEngine, previously Taos Data
Initial release2017200820182019
Current release5.0.0, August 20203.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open Source infoGNU Affero GPL V3.0Open Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ScalaC++ScalaC
Server operating systemsLinux
macOS
server-lessLinux
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyes: int, bigint, decimal, stringyesnoyes
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 indexesall fields are automatically indexedyesnono
SQL infoSupport of SQLSQL-like query languageyesnoStandard SQL with extensions for time-series applications
APIs and other access methodsgRPC
HTTP REST
WebSocket
JDBC
RESTful HTTP API
Supported programming languagesJava
Scala
Java
Kotlin
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnononono
Triggersyesnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentUsing Apache Luceneyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnonoyes
More information provided by the system vendor
NSDbSpatiaLiteSwayDBTDengine
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

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

TDengine 3.3.0.0 Release Notes
7 May 2024

How to Unlock Value from Industrial Data with AI and ML Technology
6 May 2024

Compare InfluxDB vs. TDengine
19 April 2024

Why We Need the Next Generation Data Historian
15 April 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
NSDbSpatiaLiteSwayDBTDengine
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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Recent citations in the news

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, GlobeNewswire

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

provided by Google News



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