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DBMS > NSDb vs. OrigoDB vs. TDengine vs. YugabyteDB

System Properties Comparison NSDb vs. OrigoDB vs. TDengine vs. YugabyteDB

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Editorial information provided by DB-Engines
NameNSDb  Xexclude from comparisonOrigoDB  Xexclude from comparisonTDengine  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA fully ACID in-memory object graph databaseTime Series DBMS and big data platformHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelTime Series DBMSDocument store
Object oriented DBMS
Time Series DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Score2.48
Rank#107  Overall
#9  Time Series DBMS
Score2.48
Rank#108  Overall
#53  Relational DBMS
Websitensdb.ioorigodb.comgithub.com/­taosdata/­TDengine
tdengine.com
www.yugabyte.com
Technical documentationnsdb.io/­Architectureorigodb.com/­docsdocs.tdengine.comdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperRobert Friberg et alTDEngine, previously Taos DataYugabyte Inc.
Initial release20172009 infounder the name LiveDB20192017
Current release3.0, August 20222.19, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen Source infoAGPL V3, also commercial editions availableOpen Source infoApache 2.0
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.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageJava, ScalaC#CC and C++
Server operating systemsLinux
macOS
Linux
Windows
Linux
Windows
Linux
OS X
Data schemeyesyesdepending on used data model
Typing infopredefined data types such as float or dateyes: int, bigint, decimal, stringUser defined using .NET types and collectionsyesyes
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.nono infocan be achieved using .NETnono
Secondary indexesall fields are automatically indexedyesnoyes
SQL infoSupport of SQLSQL-like query languagenoStandard SQL with extensions for time-series applicationsyes, PostgreSQL compatible
APIs and other access methodsgRPC
HTTP REST
WebSocket
.NET Client API
HTTP API
LINQ
JDBC
RESTful HTTP API
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesJava
Scala
.NetC
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnoyesnoyes infosql, plpgsql, C
Triggersyes infoDomain Eventsyes, via alarm monitoringyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronizedShardingHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynodepending on modelnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentUsing Apache Luceneyes infoWrite ahead logyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlRole based authorizationyesyes
More information provided by the system vendor
NSDbOrigoDBTDengineYugabyteDB
Specific characteristicsTDengineā„¢ is a time-series database designed to help traditional industries overcome...
» more
YugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesHigh Performance at Any Scale: With its distributed scalable architecture that grows...
» more
PostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosTDengine is purpose-built for Industry 4.0 and the Industrial IoT (IIoT) and particularly...
» more
Systems of record and engagement for cloud native applications that require resilience,...
» more
Market metricsTDengine has garnered over 23,000 stars on GitHub and is used in over 50 countries...
» more
2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsTDengine OSS is free, open-source software released under the AGPLv3. TDengine Enterprise...
» more
Apache 2.0 license for the database
» more
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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
NSDbOrigoDBTDengineYugabyteDB
Recent citations in the news

TDengine Cloud released to developers
19 October 2022, App Developer Magazine

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19 April 2023, Cloud Native Now

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1 February 2024, Datanami

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provided by Google News



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