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Guidance for storing time series data in Azure

The goal of this project is to assess basic ways of storing time series data in Azure.

Should I be using an existing solution?

There are a number of companies that specialize in cloud-based time series data historians. For projects with extremely large storage requirements, high-performance needs, or advanced features such as model-based compression or interpolation, it's advisable to look at the existing products on the market.

These third-party solutions may be much easier to implement versus creating an in-house solution.

High-Level Comparison of Popular Storage Approaches

Click on a storage solution header for details.

SQL Database Blob Storage HBase Azure Data Lake OpenTSDB
Writes Excellent Excellent
Random Access Reads Excellent Poor Poor
Batch Reads Excellent Good Excellent
Aggregation Good (TSQL) Poor Excellent
Storage Efficiency Excellent Excellent Excellent
Cost Configurable Excellent
Interpolation Excellent
Interoperability Excellent Poor

Storage Solutions Not Tested

  • DocumentDB

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Guidance for storing time series data in Azure

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