This information compares the characteristics of Cassandra vs. TDengine to assist you select which database solution is best for you personally.
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High General performance: TDengine is the one time-series database to resolve the large cardinality problem to aid billions of data assortment details although out executing other time-sequence databases for info ingestion, querying and facts compression.
Sharding: In the look and implementation of TDengine, a cluster has numerous nodes, each node may have one or more virtual nodes (vnode), Just about every virtual node retailers the data of a particular range of knowledge selection points, and the info of a knowledge assortment place is often saved in only one vnode. In this manner, if there are several details assortment factors, the info from these info assortment factors will be distributed to a number of vnodes and distributed in many nodes. When data is ingested, the TDengine client straight writes the data for the corresponding vnode, therefore obtaining horizontal scaling of information ingestion.
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DURATION: specifies the time frame contained in Each individual facts file. Following the time specified by this parameter has elapsed, TDengine makes a new facts file to store incoming details.
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TDengine provides ample developing applications for customers to produce on TDengine. Adhere to the one-way links under to seek out your required connectors and Tdengine Database pertinent documentation.
TDengine is made using a horizontal scaling and superior availability architecture. By partitioning data, and making use of virtual node (vnode) technologies, the processing ability from the system is guaranteed to be horizontally scalable.
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Details writes can only be executed to the grasp, but queries may be executed on both equally the master and slave at the same time. If your master node fails, the procedure mechanically selects a fresh learn node and proceeds to provide products and services and assures superior availability.