CTSDB supports concurrently writing time series data through simple and consistent RESTful APIs.
CTSDB supports super-complex aggregate analysis, including general aggregation functions such as Avg, Min, Max, Count, and Sum as well as complex fuzzy aggregation functions such as Cardinality and Percentiles.
CTSDB supports data query operations through HTTP access and console query. The data query feature in the console can visually display data under multiple aggregation methods.
CTSDB conducts multidimensional monitoring, analysis and graphical display for instances so that you can obtain information on the health of your instances in real time.
Working condition data in industrial production environments needs to be stored. A large number of monitoring points in multiple facilities can generate billions of data points every year, reaching the PB level. Such data can be written to CTSDB in real time for quick query and visual display, helping managers make better decisions and perform big data analysis to identify deep-seated problems and increase profitability.
Internet service providers can write their user network delay data, business service metric data, log data, etc. into CTSDB and then directly generate reports for analysis by technical support and product teams so that they can identify and solve problems as early as possible.
Transaction data in the financial market continuously collected by automated trading algorithms, user social networking, shopping, and entertainment data reported by various collection terminals, and business status data obtained by log cleansing programs can be stored in CTSDB and then obtained through APIs to implement efficient real-time analysis and modeling.
TencentDB for CTSDB is billed by two parts: specification (memory and CPU) and capacity.
For more information, please see Pricing.