Amazon Timestream Reviews

Name: Amazon Timestream
Brand: Amazon Web Services (AWS)
Rating: 4.5 (5 reviews)

4.5 out of 5

5 reviews
100% willing to recommend

What is Amazon Timestream?

Amazon Timestream offers a fully managed, maintenance-free database designed specifically for time series data management, characterized by simplicity, speed, and scalability for handling real-time operations.

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Amazon Timestream is the #3 ranked solution in top Managed NoSQL Databases. PeerSpot users give Amazon Timestream an average rating of 9.0 out of 10. Amazon Timestream is most commonly compared to Microsoft Azure Cosmos DB: Amazon Timestream vs Microsoft Azure Cosmos DB. Amazon Timestream is popular among the large enterprise segment, accounting for 62% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a computer software company, accounting for 22% of all views.

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Managed NoSQL Databases

December 2024

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Featured reviews

Sushil Pandey

Data Engineer at Tiger Analytics

It is an easily scalable solution. When it comes to the retention period, if someone wants to change, they have to define it at the start. Later on, if users want to change it again, like, or increase the retention policy, then they have to create the table again and do so, and if it is not done, then we face problems. It will increase the retention, but when you try to insert a record or an older record that is not included in the range of your retention period, then you can face some problems and, like, it will throw some errors. The tool is scalable, but it should be defined at the start as to how much retention you want. For scalability, I rate the tool a six or seven out of ten.

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Sekhar Reddy B

Principal Software Engineer at Securonix

We use the tool with AI for customer data analysis as part of our internal product. It's a medium effort for beginners to learn; it's not too easy but not too hard. Overall, I'd rate Amazon Timestream eight point five to nine out of ten based on my experience. Integrating it wasn't difficult, and we didn't face any challenges. My advice for new users is to choose the right dimension names for better query performance and structure their data correctly before indexing.

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Mandeep Dangar

Software Engineer at Indexnine Technologies

You have to manage the solution carefully because it charges you based on the amount of data you send from the database. Arranging the database schema is a bit challenging. When you design the schema, you need to be careful how much data you want to store and how much data you are going to retrieve.

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Amazon Timestream mindshare

As of December 2024, the mindshare of Amazon Timestream in the Managed NoSQL Databases category stands at 11.2%, up from 9.8% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Managed NoSQL Databases

Key learnings from peers

Last updated Dec 10, 2024

Valuable Features

Amazon Timestream offers users a maintenance-free experience, providing real-time performance without lag. It enables quick data aggregation from the past decade, simplifying merge operations by updating measurement values while maintaining key dimensions. Users find it fast, scalable, and easy to understand due to its fully managed database. As AWS's sole time series database, it efficiently handles data collection and storage, making it invaluable for data management.

"Using Amazon Timestream has been seamless due to its integration within the AWS ecosystem and ease of use for the engineering team."
"If you drop a message, the solution's technical support will definitely reply."
"What I like best is that the tool is easy to collect and store data and is fast and scalable. The fully managed database is easy to understand."

Room for Improvement

Amazon Timestream could benefit from increasing the batch size to speed up indexing. Charge management based on sent data and challenging schema arrangement need attention. Users find it difficult to forcibly delete data and believe improvements are needed for retention profiles. More user-friendly explanations for queries and better integration guidance with AWS services are suggested. Improvements are underway through collaborations with AWS teams to add desired features, making it more accessible for recent graduates.

"There are certain features that we would like to see added and we are collaborating with the product teams on these areas."
"There are disadvantages when it comes to time series databases since you can't delete anything from Amazon Timestream data."
"The solution could be improved by making it easier for new graduates like me to use. Better explanations of queries and how to use them with other AWS services would help."

Pricing

"We pay over $10 million a year to Amazon."
"Amazon Timestream's pricing seems manageable to me."
"For 1GB of data, the solution charges $ 0.01 in the US region."

Popular Use Cases

Amazon Timestream is utilized for real-time analytics, monitoring application health, tracking customer data size, automating data pipelines, storing and analyzing data for scaling, aggregating data with time functions, storing telemetry data from devices, writing queries for microgrid solar projects, and functioning as a data historian for IT data of IoT devices. It supports real-time data handling and time-series analysis.

Deployment

Amazon Timestream's initial setup is described as straightforward and easy. Many found deployment simple due to its integration within existing AWS ecosystems and tools. Managed services by AWS aid in this process, though individuals unfamiliar with time series databases might experience challenges. Continuous engagement with the tool leads to a better understanding of its functionality.

Scalability

Amazon Timestream is recognized for its scalability, widely appreciated by organizations with large development teams. Users highlight that changes in retention policies require careful planning, as adjustments necessitate table recreation, potentially causing issues. Automatic scaling is a noted feature, eliminating manual management. Evaluations rate its scalability moderately high, citing time series data challenges.

Stability

Amazon Timestream is considered stable by users. They mention experiencing minimal issues and rate its stability as an eight out of ten. Though there have been occasional outages, these are typically global incidents. AWS is recognized for addressing security bugs and other concerns promptly and effectively.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

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Top industries

By visitors reading reviews

Computer Software Company

22%

Financial Services Firm

13%

Manufacturing Company

Construction Company

Energy/Utilities Company

Comms Service Provider

Government

Logistics Company

Media Company

Educational Organization

Insurance Company

Wholesaler/Distributor

Transportation Company

Hospitality Company

Security Firm

Non Profit

Performing Arts

Recruiting/Hr Firm

Retailer

Legal Firm

Engineering Company

Healthcare Company

Mining And Metals Company

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Learn more about Amazon Timestream

Amazon Timestream provides a powerful solution for managing time series data by enabling users to aggregate decades of data quickly and merge updates seamlessly. It excels in simplicity, speed, and scalability, making it an ideal choice for real-time analytics and IoT data storage. Despite its benefits, there's room for improvement in query explanations and integration with other AWS services. Enhancements in data indexing, batch limits, cost management, and schema arrangement are ongoing efforts to better serve its users.

What are the key features of Amazon Timestream?

Real-time Operations: Provides lag-free data management.
Maintenance-Free: No manual work required for setup or upkeep.
Scalability: Handles vast datasets efficiently.
Customizable: Easily adapts to specific business needs.
Fully Managed: Reduces the complexity of database management.

What benefits should users look for in reviews?

Operational Efficiency: Improved productivity with automated processes.
Simplified Data Management: Easy data merging without additional actions.
Cost Management: Monitoring data costs effectively.
Ease of Integration: Works seamlessly with other tools.

Industries implement Amazon Timestream to automate real-time analytics and manage IoT telemetry data. In microgrid solar projects, it aids in assessing safety and charge states, while in IoT networks, it serves as a comprehensive data historian for device data analysis, enhancing decision-making and operational efficiency.