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DBMS > Hive vs. Quasardb vs. TDengine vs. TimescaleDB

System Properties Comparison Hive vs. Quasardb vs. TDengine vs. TimescaleDB

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonQuasardb  Xexclude from comparisonTDengine  Xexclude from comparisonTimescaleDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopDistributed, high-performance timeseries databaseTime Series DBMS and big data platformA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitehive.apache.orgquasar.aigithub.com/­taosdata/­TDengine
tdengine.com
www.timescale.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedoc.quasar.ai/­masterdocs.tdengine.comdocs.timescale.com
DeveloperApache Software Foundation infoinitially developed by FacebookquasardbTDEngine, previously Taos DataTimescale
Initial release2012200920192017
Current release3.1.3, April 20223.14.1, January 20243.0, August 20222.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen 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 languageJavaC++CC
Server operating systemsAll OS with a Java VMBSD
Linux
OS X
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infointeger and binaryyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nonoyes
Secondary indexesyesyes infowith tagsnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageStandard SQL with extensions for time-series applicationsyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
ODBC
Thrift
HTTP APIJDBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC++
Java
PHP
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnonoyes, via alarm monitoringyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication with selectable replication factoryesSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducewith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient modeno
User concepts infoAccess controlAccess rights for users, groups and rolesCryptographically strong user authentication and audit trailyesfine grained access rights according to SQL-standard
More information provided by the system vendor
HiveQuasardbTDengineTimescaleDB
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
News

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Comprehensive Comparison Between TDengine and TimescaleDB
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Mastering Memory Leak Detection in TDengine
31 May 2024

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