Azure Time Series Insights
Time series intelligence software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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What is Azure Time Series Insights
Azure Time Series Insights (TSI) is a Microsoft Azure service for ingesting, storing, and interactively exploring time-series data from IoT devices, industrial equipment, and operational systems. It supports building time-series models and visualizing trends, anomalies, and events through a web-based explorer and APIs. The product is typically used by operations, engineering, and data teams that need near-real-time investigation of telemetry without building a full custom analytics application. Azure Time Series Insights is retired and no longer available for new deployments, with Microsoft directing customers to newer Azure services for similar scenarios.
Tight Azure ecosystem integration
The service integrates natively with common Azure ingestion and messaging services used for telemetry pipelines. This reduces integration work for organizations already standardizing on Azure identity, networking, and monitoring. It also aligns with Azure governance patterns such as role-based access control and resource management. For Azure-centric teams, this can simplify operational ownership compared with assembling multiple standalone components.
Interactive time-series exploration
TSI provides a browser-based explorer for filtering, aggregating, and visualizing time-series signals over time. Users can investigate equipment behavior, compare tags, and drill into time windows without writing code for every query. This supports operational troubleshooting workflows where speed of exploration matters. APIs also allow embedding or programmatic access for custom applications.
Time Series Model abstraction
The Time Series Model organizes telemetry into hierarchies, types, and instances, helping teams standardize naming and metadata for assets. This structure supports consistent querying and visualization across many devices or sensors. It can reduce ad-hoc tag sprawl compared with purely schema-less approaches. The model is designed for operational contexts where assets and relationships matter.
Service is retired
Azure Time Series Insights has been retired and is not available for new deployments. This creates immediate adoption risk and limits long-term roadmap certainty for existing users. Organizations may need to plan migration to alternative Azure services and re-implement parts of their exploration and modeling workflows. Procurement and security reviews may also flag end-of-life services.
Azure lock-in considerations
The service is designed around Azure-native ingestion, identity, and resource management patterns. Teams operating in multi-cloud or on-prem environments may face additional integration work or data movement costs. Portability of models and queries to non-Azure platforms is limited. This can be a constraint compared with more deployment-agnostic offerings in the category.
Not a full forecasting suite
TSI focuses on exploration, visualization, and operational investigation rather than end-to-end statistical forecasting and model management. Advanced forecasting, automated model selection, and lifecycle tooling typically require additional services or external tools. Data science teams may find the built-in capabilities insufficient for rigorous predictive workflows. As a result, it often complements rather than replaces specialized forecasting and analytics platforms.
Plan & Pricing
Usage-based (Gen2): Pricing model: Pay-as-you-go Data Processing Unit: $- per unit per month (Each unit allows customers to process up to 100 GB/month) Additional Data Processed: $- per GB Metadata Storage: $- per MB Warm Data Analysis: Storage: $-/GB/month; Queries: No charge (limited to 30 concurrent queries) Cold Data Analysis: Storage: Uses customer-owned Azure Blob Storage (customers pay Blob storage charges); Queries: $- per GB scanned Notes: The official Azure pricing page renders numeric prices as "$-" placeholders and directs customers to the Azure Pricing Calculator or to contact sales for region-specific quotes. Prices vary by region/currency and agreement.
Gen1 (tiered SKUs) — (old/in-market S1 and S2 SKUs):
| Plan | Price | Key features & notes |
|---|---|---|
| S1 | $- per unit/month | Storage per unit: 30 GB or 30 million events; Daily ingress per unit: 1 GB or 1 million events; Maximum retention: 13 months (configurable); Unlimited queries; Max number of units: 10 |
| S2 | $- per unit/month | Storage per unit: 300 GB or 300 million events; Daily ingress per unit: 10 GB or 10 million events; Maximum retention: 13 months (configurable); Unlimited queries; Max number of units: 10 |
Additional official notes from the vendor page: warm queries are no-charge (with concurrency limits); cold storage uses Blob pricing (additional blob transaction/read charges apply); the product page also links to the general Azure free trial offer (Get free cloud services and a $200 credit to explore Azure for 30 days).
Seller details
Microsoft Corporation
Redmond, Washington, United States
1975
Public
https://www.microsoft.com/
https://x.com/Microsoft
https://www.linkedin.com/company/microsoft/
