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DBMS > Apache Impala vs. KairosDB vs. SiriDB vs. TDengine vs. Yanza

System Properties Comparison Apache Impala vs. KairosDB vs. SiriDB vs. TDengine vs. Yanza

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonKairosDB  Xexclude from comparisonSiriDB  Xexclude from comparisonTDengine  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAnalytic DBMS for HadoopDistributed Time Series DBMS based on Cassandra or H2Open Source Time Series DBMSTime Series DBMS and big data platformTime Series DBMS for IoT Applications
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSTime Series DBMSTime Series DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websiteimpala.apache.orggithub.com/­kairosdb/­kairosdbsiridb.comgithub.com/­taosdata/­TDengine
tdengine.com
yanza.com
Technical documentationimpala.apache.org/­impala-docs.htmlkairosdb.github.iodocs.siridb.comdocs.tdengine.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCesbitTDEngine, previously Taos DataYanza
Initial release20132013201720192015
Current release4.1.0, June 20221.2.2, November 20183.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoMIT LicenseOpen Source infoAGPL V3, also commercial editions availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaCC
Server operating systemsLinuxLinux
OS X
Windows
LinuxLinux
Windows
Windows
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infoNumeric datayesno
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.nonononono
Secondary indexesyesnoyesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoStandard SQL with extensions for time-series applicationsno
APIs and other access methodsJDBC
ODBC
Graphite protocol
HTTP REST
Telnet API
HTTP APIJDBC
RESTful HTTP API
HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCJava
JavaScript infoNode.js
PHP
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
any language that supports HTTP calls
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenononono
Triggersnononoyes, via alarm monitoringyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infobased on Cassandrayesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberossimple password-based access controlsimple rights management via user accountsyesno
More information provided by the system vendor
Apache ImpalaKairosDBSiriDBTDengineYanza
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Apache ImpalaKairosDBSiriDBTDengineYanza
Recent citations in the news

Apache Impala becomes Top-Level Project
28 November 2017, SDTimes.com

Cloudera Bringing Impala to AWS Cloud
28 November 2017, Datanami

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24 June 2022, InfoWorld

Hudi: Uber Engineeringā€™s Incremental Processing Framework on Apache Hadoop
12 March 2017, Uber

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27 October 2017, KDnuggets

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24 May 2019, InfoQ.com

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TDengine named Top Global Industrial Data Management Solution
4 January 2024, IT Brief Australia

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, Yahoo Finance

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

provided by Google News



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