Amazon Timestream is a fully managed, maintenance-free database offering real-time data handling and seamless long-term data aggregation without merge operations, enhancing scalability and speed for IT environments and IoT data.
| Product | Market Share (%) |
|---|---|
| Amazon Timestream | 6.1% |
| Microsoft Azure Cosmos DB | 16.9% |
| Amazon DynamoDB | 11.7% |
| Other | 65.3% |
This service is customizable and user-friendly, making it a preferred choice for managing time-series data efficiently. Users find it beneficial for real-time analytics, monitoring application health, and automating data pipelines. While data charge management and schema design require attention, active collaboration with AWS is ongoing for feature improvements. Increasing batch size for indexing and simplifying the interface are areas identified for enhancement. The database's scalability is highly appreciated, allowing easy management of data collection and storage.
What are the key features of Amazon Timestream?Industries use Amazon Timestream to manage real-time analytics and application health monitoring. It tracks customer data size, automates pipelines, and supports time-series analyses for scaling. Organizations employ it for telemetry data management, queried in projects like microgrid solar energy, acting as a data historian for storing IoT device measurements.
| Author info | Rating | Review Summary |
|---|---|---|
| Principal Software Engineer at Securonix | 4.5 | I use Amazon Timestream for real-time analytics and monitoring application health. It's maintenance-free, customizable, and real-time with no lag. I'd like larger batch sizes for faster indexing. I chose it over InfluxDB to lower maintenance costs without additional infrastructure. |
| Data Engineer at Tiger Analytics | 4.5 | In my company, we use Amazon Timestream for storing real-time telemetry data in a time series database. It's valuable because updates are automatic without needing merges. However, improvements are needed since data can't be deleted manually, only through retention profiles. |
| VP Global IoT Solutions at 1NCE | 5.0 | We use Amazon Timestream as a data historian for IT data, allowing time-series analyses of IoT devices. It's the only suitable time series database from AWS, though we are actively discussing additional features with their engineering teams. |
| Software Engineer at Indexnine Technologies | 4.0 | I use Amazon Timestream to analyze and aggregate data based on time functions. It's valuable for quickly aggregating a decade's data, but I need to manage it carefully due to costs and challenges in arranging the database schema. |
| Software Engineer at Zyrone Energy | 4.5 | I use Amazon Timestream for a microgrid solar project and appreciate its ease in collecting and storing data, as well as its scalability. However, it could be more user-friendly for beginners, especially in understanding queries and integration with other AWS services. |
