DBMS > HarperDB vs. TDengine
System Properties Comparison HarperDB vs. TDengine
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|Editorial information provided by DB-Engines|
|Name||HarperDB Xexclude from comparison||TDengine Xexclude from comparison|
|Description||Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.||Time Series DBMS and big data platform|
|Primary database model||Document store||Time Series DBMS|
|Secondary database models||Relational DBMS|
|Developer||HarperDB||TDEngine, previously Taos Data|
|Current release||3.1, August 2021||3.0, August 2022|
|License Commercial or Open Source||commercial free community edition available||Open Source GPL V3, also commercial editions available|
|Cloud-based only Only available as a cloud service||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||Linux|
|Data scheme||dynamic schema||yes|
|Typing predefined data types such as float or date||yes JSON data types||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||no|
|SQL Support of SQL||SQL-like data manipulation statements||Standard SQL with extensions for time-series applications|
|APIs and other access methods||JDBC|
RESTful HTTP/JSON API
RESTful HTTP API
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||Custom Functions since release 3.1||no|
|Triggers||no||yes, via alarm monitoring|
|Partitioning methods Methods for storing different data on different nodes||A table resides as a whole on one (or more) nodes in a cluster||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||yes the nodes on which a table resides can be defined||yes|
|MapReduce Offers an API for user-defined Map/Reduce methods||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency|
|Foreign keys Referential integrity||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||Atomic execution of specific operations|
|Concurrency Support for concurrent manipulation of data||yes||yes|
|Durability Support for making data persistent||yes, using LMDB||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes|
|User concepts Access control||Access rights for users and roles||yes|
|More information provided by the system vendor|
|Specific characteristics||TDengine™ is a next generation data historian purpose-built for Industry 4.0 and...|
|Competitive advantages||High Performance: TDengine is purpose-built for handling massive industrial datasets,...|
|Typical application scenarios||TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...|
|Market metrics||TDengine has garnered over 21,000 stars on GitHub and is used in over 50 countries...|
|Licensing and pricing models||TDengine OSS is an open source, cloud native time series database. It includes built-in...|
TDengine High Availability Cluster
TDengine 220.127.116.11 Release Notes
What Is the Industrial IoT?
Ingesting Data from PI System
What Is a Data Historian?
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