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DBMS > OpenEdge vs. Spark SQL vs. TDengine vs. TDSQL for MySQL

System Properties Comparison OpenEdge vs. Spark SQL vs. TDengine vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameOpenEdge  Xexclude from comparisonSpark SQL  Xexclude from comparisonTDengine  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemSpark SQL is a component on top of 'Spark Core' for structured data processingTime Series DBMS and big data platformA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitewww.progress.com/­openedgespark.apache.org/­sqlgithub.com/­taosdata/­TDengine
tdengine.com
www.tencentcloud.com/­products/­dcdb
Technical documentationdocumentation.progress.com/­output/­ua/­OpenEdge_latestspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.tdengine.comwww.tencentcloud.com/­document/­product/­1042
DeveloperProgress Software CorporationApache Software FoundationTDEngine, previously Taos DataTencent
Initial release1984201420192013
Current releaseOpenEdge 12.2, March 20203.5.0 ( 2.13), September 20233.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoAGPL V3, also commercial editions availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC
Server operating systemsAIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Linux
Windows
hosted
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesnonoyes
SQL infoSupport of SQLyes infoclose to SQL 92SQL-like DML and DDL statementsStandard SQL with extensions for time-series applicationsyes
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
JDBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesProgress proprietary ABL (Advanced Business Language)Java
Python
R
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnonoyes
Triggersyesnoyes, via alarm monitoringyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infosince Version 11.4yes, utilizing Spark CoreShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlUsers and groupsnoyesUsers with fine-grained authorization concept
More information provided by the system vendor
OpenEdgeSpark SQLTDengineTDSQL for MySQL
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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17 May 2024

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8 May 2024

TDengine 3.3.0.0 Release Notes
7 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
OpenEdgeSpark SQLTDengineTDSQL for MySQL
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