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DBMS > Apache Phoenix vs. Bangdb vs. TDengine vs. Yanza

System Properties Comparison Apache Phoenix vs. Bangdb vs. TDengine vs. Yanza

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBangdb  Xexclude from comparisonTDengine  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseConverged and high performance database for device data, events, time series, document and graphTime Series DBMS and big data platformTime Series DBMS for IoT Applications
Primary database modelRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Time Series DBMSTime Series DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitephoenix.apache.orgbangdb.comgithub.com/­taosdata/­TDengine
tdengine.com
yanza.com
Technical documentationphoenix.apache.orgdocs.bangdb.comdocs.tdengine.com
DeveloperApache Software FoundationSachin Sinha, BangDBTDEngine, previously Taos DataYanza
Initial release2014201220192015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019BangDB 2.0, October 20213.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSD 3Open Source infoAGPL V3, also commercial editions availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono 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 languageJavaC, C++C
Server operating systemsLinux
Unix
Windows
LinuxLinux
Windows
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesno
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 indexesyesyes infosecondary, composite, nested, reverse, geospatialnono
SQL infoSupport of SQLyesSQL like support with command line toolStandard SQL with extensions for time-series applicationsno
APIs and other access methodsJDBCProprietary protocol
RESTful HTTP API
JDBC
RESTful HTTP API
HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
C++
Java
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functionsnonono
Triggersnoyes, Notifications (with Streaming only)yes, via alarm monitoringyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor, Knob for CAP (enterprise version only)yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyTunable consistency, set CAP knob accordinglyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, run db with in-memory only mode
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyyes (enterprise version only)yesno
More information provided by the system vendor
Apache PhoenixBangdbTDengineYanza
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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22 May 2024

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22 May 2024

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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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More resources
Apache PhoenixBangdbTDengineYanza
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Recent citations in the news

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