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

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

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonKairosDB  Xexclude from comparisonSiriDB  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopDistributed Time Series DBMS based on Cassandra or H2Open Source Time Series DBMSTime Series DBMS and big data platform
Primary database modelRelational 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
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score0.71
Rank#230  Overall
#20  Time Series DBMS
Score0.11
Rank#346  Overall
#32  Time Series DBMS
Score2.68
Rank#109  Overall
#8  Time Series DBMS
Websiteimpala.apache.orggithub.com/­kairosdb/­kairosdbsiridb.comgithub.com/­taosdata/­TDengine
tdengine.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 Data
Initial release2013201320172019
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 infoGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaCC
Server operating systemsLinuxLinux
OS X
Windows
LinuxLinux
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infoNumeric datayes
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.nononono
Secondary indexesyesnoyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoStandard SQL with extensions for time-series applications
APIs and other access methodsJDBC
ODBC
Graphite protocol
HTTP REST
Telnet API
HTTP APIJDBC
RESTful 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
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonono
Triggersnononoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infobased on Cassandrayesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
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.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 accountsyes
More information provided by the system vendor
Apache ImpalaKairosDBSiriDBTDengine
Specific characteristicsTDengine™ 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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More resources
Apache ImpalaKairosDBSiriDBTDengine
Recent citations in the news

Apache Impala 4 Supports Operator Multi-Threading
29 July 2021, iProgrammer

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

Cloudera Bringing Impala to AWS Cloud
28 November 2017, Datanami

Apache Doris just 'graduated': Why care about this SQL data warehouse
24 June 2022, InfoWorld

Hudi: Uber Engineering’s Incremental Processing Framework on Apache Hadoop
12 March 2017, Uber

provided by Google News

The re-emergence of time-series – O'Reilly
6 April 2013, oreilly.com

provided by Google News

SiriDB tijdreeks database analyseert time series data vanuit elke bron
22 January 2017, Dutch IT Channel

provided by Google News

TDengine debuts cloud-based time-series data processing platform for IoT deployments
20 September 2022, SiliconANGLE News

TDengine 3.0 Introduces Cloud Native Architecture to Simplify Large-scale Time-Series Data Operations in IoT
23 August 2022, Yahoo Finance

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



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