Intro

In the dynamic world of data analytics, Azure Time Series Insights (TSI) stood out as a comprehensive tool, combining data storage and analysis. However, as of July 7th, 2024, Azure TSI has been officially discontinued, pushing its users to seek viable alternatives to continue their time series data analytics operations.

Time series data analysis is a critical process that involves examining data points collected at specific time intervals to identify trends, patterns, and anomalies. This type of analysis is crucial across various industries, from financial markets and healthcare to manufacturing and the Internet of Things (IoT). Azure TSI excelled in this domain by offering a platform that not only stored vast amounts of time series data but also provided the tools needed to analyse and visualize that data in real time.

Migration from Azure TSI

The primary challenge in this transition lies in the fact that many available alternatives are primarily focused on data storage. Platforms like Azure Data Explorer (ADX), InfluxDB, and TimescaleDB are robust and scalable solutions for storing time series data, but they often lack the comprehensive analytical tool that Azure TSI provided. This creates a significant gap for users who relied on TSI for both data storage and detailed, interactive analysis.

To bridge this gap, many users are turning to Azure Data Explorer (ADX) and Microsoft Fabric, connecting these storage solutions with other tools, like Marple, designed for interactive time series data exploration and analysis.

With this combination, users can continue to explore and analyse their time series data interactively, uncovering trends, patterns, and insights just as they did with TSI.

Marple on Azure: The new solution

For those who found Azure TSI indispensable, the transition to a new platform might seem a big challenge. However, by pulling together the combination of ADX or Fabric with Marple, businesses can continue to perform high-level time series data analysis without losing functionality. Marple’s intuitive interface and powerful analytics ensure that users can dive into their data, uncover insights, and make informed decisions just as effectively as before.

If this situation resonates with you, and you're finding the sudden shift challenging, do not hesitate to reach out.

Our team understands the details of time series data analysis and can guide you through integrating these new tools into your workflow smoothly.