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DBMS > Apache Impala vs. Prometheus vs. TDengine vs. TDSQL for MySQL

System Properties Comparison Apache Impala vs. Prometheus vs. TDengine vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonPrometheus  Xexclude from comparisonTDengine  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopOpen-source Time Series DBMS and monitoring systemTime 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 DBMSTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument storeRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websiteimpala.apache.orgprometheus.iogithub.com/­taosdata/­TDengine
tdengine.com
www.tencentcloud.com/­products/­dcdb
Technical documentationimpala.apache.org/­impala-docs.htmlprometheus.io/­docsdocs.tdengine.comwww.tencentcloud.com/­document/­product/­1042
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaTDEngine, previously Taos DataTencent
Initial release2013201520192013
Current release4.1.0, June 20223.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open 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 languageC++GoC
Server operating systemsLinuxLinux
Windows
Linux
Windows
hosted
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyesyes
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 infoImport of XML data possiblenono
Secondary indexesyesnonoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoStandard SQL with extensions for time-series applicationsyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON APIJDBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonoyes
Triggersnonoyes, via alarm monitoringyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoby FederationyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
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 controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoyesUsers with fine-grained authorization concept
More information provided by the system vendor
Apache ImpalaPrometheusTDengineTDSQL 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
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