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DBMS > OrigoDB vs. Sequoiadb vs. TDengine vs. Trafodion

System Properties Comparison OrigoDB vs. Sequoiadb vs. TDengine vs. Trafodion

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Editorial information provided by DB-Engines
NameOrigoDB  Xexclude from comparisonSequoiadb  Xexclude from comparisonTDengine  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA fully ACID in-memory object graph databaseNewSQL database with distributed OLTP and SQLTime Series DBMS and big data platformTransactional SQL-on-Hadoop DBMS
Primary database modelDocument store
Object oriented DBMS
Document store
Relational DBMS
Time Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websiteorigodb.comwww.sequoiadb.comgithub.com/­taosdata/­TDengine
tdengine.com
trafodion.apache.org
Technical documentationorigodb.com/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=indexdocs.tdengine.comtrafodion.apache.org/­documentation.html
DeveloperRobert Friberg et alSequoiadb Ltd.TDEngine, previously Taos DataApache Software Foundation, originally developed by HP
Initial release2009 infounder the name LiveDB201320192014
Current release3.0, August 20222.3.0, February 2019
License infoCommercial or Open SourceOpen SourceOpen Source infoServer: AGPL; Client: Apache V2Open 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.
Implementation languageC#C++CC++, Java
Server operating systemsLinux
Windows
LinuxLinux
Windows
Linux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsyes infooid, date, timestamp, binary, regexyesyes
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.no infocan be achieved using .NETnonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoSQL-like query languageStandard SQL with extensions for time-series applicationsyes
APIs and other access methods.NET Client API
HTTP API
LINQ
proprietary protocol using JSONJDBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languages.Net.Net
C++
Java
PHP
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyesJavaScriptnoJava Stored Procedures
Triggersyes infoDomain Eventsnoyes, via alarm monitoringno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizedShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyesyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritydepending on modelnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDDocument is locked during a transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoWrite ahead logyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlRole based authorizationsimple password-based access controlyesfine grained access rights according to SQL-standard
More information provided by the system vendor
OrigoDBSequoiadbTDengineTrafodion
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

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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
OrigoDBSequoiadbTDengineTrafodion
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

Evaluating HTAP Databases for Machine Learning Applications
2 November 2016, KDnuggets

HP Throws Trafodion Hat into OLTP Hadoop Ring
14 July 2014, Datanami

Low-latency, distributed database architectures are critical for emerging fog applications
7 April 2022, Embedded Computing Design

provided by Google News



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