Time series, in-memory & ledger
Amazon Timestream for LiveAnalytics vs Azure Data Explorer
Amazon Timestream for LiveAnalytics maps to Azure Data Explorer (or Eventhouse in Microsoft Fabric), which runs on the same engine.
Timestream for LiveAnalytics closed to new customers on June 20, 2025, and AWS now steers new workloads to Timestream for InfluxDB.
Side-by-side comparison
| Aspect | Amazon Web Services | Microsoft Azure |
|---|---|---|
| Service | Amazon Timestream for LiveAnalytics Maintenance | Azure Data Explorer |
| Lifecycle | Closed to new customers since June 20, 2025. Existing customers can keep using it, and AWS recommends Timestream for InfluxDB for new workloads. | Generally available |
| What it is | Serverless time-series database with memory and magnetic storage tiers and SQL queries. | Managed analytics engine for log, telemetry, and time-series data queried with Kusto Query Language (KQL), with built-in time-series, anomaly-detection, and forecasting functions. The same engine powers Fabric Eventhouse. |
| Pricing model | Writes, queries (per TCU-hour), and memory and magnetic storage per GB. | Azure Data Explorer bills cluster VMs plus a markup per vCore-hour, and storage. Eventhouse uses Fabric capacity. |
| Docs | Amazon Timestream for LiveAnalytics docs | Azure Data Explorer docs |
| Pricing page | Amazon Timestream for LiveAnalytics pricing | Azure Data Explorer pricing |
| Exams | DEA-C01 | AZ-305 |
Key differences
- Engine. Azure Data Explorer is a general log and telemetry analytics engine queried with KQL, with built-in time-series functions (make-series, anomaly detection, forecasting). Timestream for LiveAnalytics is a purpose-built time-series store queried with SQL.
- Operations. Timestream for LiveAnalytics is serverless. Azure Data Explorer runs on clusters you size (with autoscale), and Fabric Eventhouse runs on Fabric capacity.
- Status. Existing Timestream for LiveAnalytics customers can keep using it, but don't start new designs on it.
Pricing summary
Pricing models only. No prices are quoted because they change by region and over time.
- AWS
- Writes, queries (per TCU-hour), and memory and magnetic storage per GB. Amazon Timestream for LiveAnalytics pricing →
- Azure
- Azure Data Explorer bills cluster VMs plus a markup per vCore-hour, and storage. Eventhouse uses Fabric capacity. Azure Data Explorer pricing →
Certification exam mapping
| Exam | Provider | Level | Status |
|---|---|---|---|
| AWS Certified Data Engineer – Associate DEA-C01 | AWS | Associate | current |
| Microsoft Certified – Azure Solutions Architect Expert AZ-305 | Azure | Expert | current English version updated Apr 17, 2026. |
Relevance is based on each exam's published scope, not a line-by-line objective match. Check the official study guide.
Verification notes
- Timestream for LiveAnalytics is in maintenance mode (closed to new customers since June 20, 2025). AWS hasn't announced an end-of-support date, so check the service page.
FAQ
What is the Azure equivalent of Amazon Timestream for LiveAnalytics?
Amazon Timestream for LiveAnalytics maps to Azure Data Explorer (or Eventhouse in Microsoft Fabric), which runs on the same engine. Timestream for LiveAnalytics closed to new customers on June 20, 2025, and AWS now steers new workloads to Timestream for InfluxDB.
How does pricing compare between Amazon Timestream for LiveAnalytics and Azure Data Explorer?
AWS: Writes, queries (per TCU-hour), and memory and magnetic storage per GB. Azure: Azure Data Explorer bills cluster VMs plus a markup per vCore-hour, and storage. Eventhouse uses Fabric capacity. Check the official pricing pages for current rates.
Which certification exams cover this topic?
AWS Certified Data Engineer – Associate (DEA-C01); Microsoft Certified – Azure Solutions Architect Expert (AZ-305).