DBMS > AnzoGraph DB vs. STSdb vs. TDengine
System Properties Comparison AnzoGraph DB vs. STSdb vs. TDengine
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|Editorial information provided by DB-Engines|
|Name||AnzoGraph DB Xexclude from comparison||STSdb Xexclude from comparison||TDengine Xexclude from comparison|
|Description||Scalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualization||Key-Value Store with special method for indexing optimized for high performance using a special indexing method||Time Series DBMS and big data platform|
|Primary database model||Graph DBMS|
|Key-value store||Time Series DBMS|
|Secondary database models||Relational DBMS|
|Developer||Cambridge Semantics||STS Soft SC||TDEngine, previously Taos Data|
|Current release||2.3, January 2021||4.0.8, September 2015||3.0, August 2022|
|License Commercial or Open Source||commercial free trial version available||Open Source GPLv2, commercial license available||Open Source GPL V3, also commercial editions available|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||Linux||Windows||Linux|
|Data scheme||Schema-free and OWL/RDFS-schema support||yes||yes|
|Typing predefined data types such as float or date||yes primitive types and user defined types (classes)||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||SPARQL and SPARQL* as primary query language. Cypher preview.||no||Standard SQL with extensions for time-series applications|
|APIs and other access methods||Apache Mule|
OData access for BI tools
RESTful HTTP API
|.NET Client API||JDBC|
RESTful HTTP API
|Supported programming languages||C++|
|Server-side scripts Stored procedures||user defined functions and aggregates||no||no|
|Triggers||no||no||yes, via alarm monitoring|
|Partitioning methods Methods for storing different data on different nodes||Automatic sharding||none||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication in MPP-Cluster||none||yes|
|MapReduce Offers an API for user-defined Map/Reduce methods||Kerberos/HDFS data loading||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency in MPP-Cluster|
|Foreign keys Referential integrity||no not needed in graphs||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||no|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||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||no||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...|
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