Amazon Timestream vs Redis comparison

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Amazon Timestream

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Executive SummaryUpdated on Mar 15, 2026

Amazon Timestream and Redis are competing products in the database management sector, each with distinct advantages. Redis seems to have the upper hand with feature variety and user satisfaction, while Amazon Timestream potentially offers a superior choice in cost-effectiveness.

Features: Amazon Timestream is designed for processing time-series data, offering advanced query flexibility and AWS services integration. On the other hand, Redis stands out in-memory performance, data persistence, and extensive data structure support, beneficial for diverse applications.

Room for Improvement: For Amazon Timestream, room for improvement could include expanding its feature set beyond time-series analytics, enhancing its pricing transparency, and offering more deployment flexibility. Redis could improve by providing better enterprise support options, simplifying its licensing model, and enhancing integration with other non-AWS cloud services.

Ease of Deployment and Customer Service: Amazon Timestream offers seamless integration within the AWS ecosystem, simplifying deployment in AWS environments, with robust support through AWS channels. Redis provides multiple deployment options, including cloud services like Redis Enterprise, along with strong community support favorable for varied deployment scenarios.

Pricing and ROI: Amazon Timestream is recognized for its pay-as-you-go pricing model, offering predictable costs aligned with usage, which enhances ROI for businesses with fluctuating data volumes. Redis, while potentially involving higher costs, especially in hosted setups like Redis Enterprise, delivers performance that often justifies the investment for high-speed, high-volume environments.

To learn more, read our detailed Amazon Timestream vs. Redis Report (Updated: August 2026).

Amazon Timestream vs. Redis

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Amazon Timestream

Ranking in Managed NoSQL Databases

7th

Average Rating

9.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Redis

Ranking in Managed NoSQL Databases

5th

Average Rating

8.8

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

NoSQL Databases (3rd), In-Memory Data Store Services (1st), Vector Databases (3rd), AI Software Development (9th)

Mindshare comparison

As of August 2026, in the Managed NoSQL Databases category, the mindshare of Amazon Timestream is 4.8%, down from 6.9% compared to the previous year. The mindshare of Redis is 7.3%, up from 2.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Managed NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
Redis	7.3%
Amazon Timestream	4.8%
Other	87.9%

Managed NoSQL Databases

Featured Reviews

Sushil Pandey

Data Engineer at Tiger Analytics

It is helpful to get telemetry data from the devices in real-time

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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RituRaj

SDE 2 at Virtusa

Caching has improved response times and reduces database load for high-traffic applications

Redis is very reliable, but it could be improved in areas such as monitoring, debugging, and feasibility into memory use. Better built-in tools for observability would help teams manage it more effectively at scale. Managing memory efficiently and troubleshooting issues can sometimes require additional tooling, so these areas can also be improved.One practical challenge I experienced is managing memory efficiently. Since Redis is in-memory, we need to carefully configure eviction policies and monitor usage. Debugging cache-related issues such as stale data or cache invalidation can sometimes be tricky. Additionally, tuning memory usage and eviction policies needs to be planned very carefully.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Using Amazon Timestream has been seamless due to its integration within the AWS ecosystem and ease of use for the engineering team."

"The best things about Amazon Timestream are it's maintenance-free, customizable, and has no lag issues. It's always real-time."

"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."

"You can quickly aggregate data from the last ten years with Amazon Timestream."

"It makes operations more efficient. The information processing is very fast, and very responsive. It's all about the technology."

"Since I started using Redis, I feel that the product is saving me some performance tuning time."

"I use Redis mostly to cache repeated data that is required."

"The online interface is very fast and easy to use."

"Redis is a powerful and reliable tool for improving application performance."

"I find Redis valuable primarily for its caching capabilities, particularly in handling cache requests effectively. Its simplicity in managing key-value pairs for caching is one of its strengths, making it a preferred choice over more complex databases like MongoDB for specific use cases. However, I haven't explored Redis extensively for managing complex data structures beyond caching, as MongoDB might be more suitable for such scenarios."

"Redis has had a positive impact by improving application performance, reducing database load, and making the system more scalable."

"Redis is a simple service that does what it promises."

More Redis pros

Cons

"The tool could be improved by increasing the batch size from one hundred records to five hundred or a thousand to speed up indexing."

"Arranging the database schema is a bit challenging."

"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."

"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 initial setup took some time as our technical team needed to familiarize themselves with Redis."

"There is a lack of documentation on the scalability of the solution."

"There is room for AWS to provide more options for server types or a way to configure more or less memory for them."

"There are some features from MongoDB that I would like to see included in Redis to enhance its overall efficiency, such as the ability to perform remote behaviour. MongoDB is more efficient in handling updates than deletions and is quicker in processing updates, but it can be slower regarding deletions. This can sometimes pose a challenge, especially when dealing with large datasets or frequent data manipulations that involve deletions. In such cases, I often rewrite columns or update values instead of directly deleting data, as it can be more efficient."

"Making management easier, especially for teams operating large Redis clusters, would be helpful."

"Redis presents a single point of failure and lacks fault tolerance."

"Redis could improve its efficiency in handling locally stored data, not just Amazon Cloud or Google Cloud."

"I would prefer it if there was more information available about Redis. That would make it easier for new beginners. Currently, there is a lack of resources."

More Redis cons

Pricing and Cost Advice

"Amazon Timestream's pricing seems manageable to me."

"We don't see high costs with Amazon Timestream, which may vary by company."

"We pay over $10 million a year to Amazon."

"For 1GB of data, the solution charges $ 0.01 in the US region."

"Redis is an open-source product."

"The tool is open-source. There are no additional costs."

"Redis is not an overpriced solution."

"We saw an ROI. It made the processing of our transactions faster."

"Redis is an open-source solution. There are not any hidden fees."

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Manufacturing Company

12%

Computer Software Company

12%

Educational Organization

Financial Services Firm

22%

Computer Software Company

Comms Service Provider

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	6
Large Enterprise	10

Questions from the Community

What is your experience regarding pricing and costs for Amazon Timestream?

Amazon Timestream's pricing seems manageable to me.

What needs improvement with Amazon Timestream?

We are working on a few open change requests with the engineering teams on AWS's side. There are certain features that we would like to see added and we are collaborating with the product teams on ...

What is your primary use case for Amazon Timestream?

We use Amazon Timestream as a data historian for IT data. It stores all individual measurements of our customers' IoT devices for a certain period of time, allowing them to perform time-series-base...

What needs improvement with Redis?

Making management easier, especially for teams operating large Redis clusters, would be helpful. More advanced built-in observability, performance insights, and automated recommendations would help...

What is your primary use case for Redis?

Redis is used primarily as a caching layer to provide a high-performance caching solution that improves application response times and reduces load on backend services and databases. We use it main...

What advice do you have for others considering Redis?

There are a couple of things to consider when using Redis. It is a supporting layer, not a main database. Identifying specific use cases where Redis can provide the most value, such as caching, ses...

Amazon DynamoDB vs Amazon Timestream

Comparisons

Compared 22% of the time

MongoDB Atlas vs Amazon Timestream

Compared 18% of the time

Microsoft Azure Cosmos DB vs Amazon Timestream

Compared 16% of the time

Amazon DocumentDB vs Amazon Timestream

Compared 14% of the time

Amazon Neptune vs Amazon Timestream

Compared 8% of the time

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Compared 5% of the time

Azure Cache for Redis vs Redis

Compared 5% of the time

Hazelcast Platform vs Redis

Compared 4% of the time

Oracle Coherence vs Redis

Compared 4% of the time

Upstash vs Redis

Compared 4% of the time

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Product Reports

Managed NoSQL Databases

Download Amazon Timestream product report

Download Redis product report

Also Known As

No data available

Redis Enterprise

Overview

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.

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?

Maintenance-Free: Eliminates the need for database maintenance tasks.
Customizable: Offers flexible configurations to fit diverse data needs.
Real-Time Data Handling: Processes data instantly for up-to-the-minute insights.
Seamless Data Aggregation: Efficiently aggregates data over extended periods.
No Merge Operations: Simplifies data updating and management processes.
Scalability: Supports growth with efficient data storage and collection.

Why should users consider Amazon Timestream for their data needs?

Easy Implementation: Simplifies deployment with a user-friendly interface.
Efficient Data Storage: Quickly stores and retrieves large volumes of time-series data.
Enhanced Analytics: Provides tools for in-depth real-time analysis.
Scalable Solutions: Easily adapts to evolving data metrics and usage.
IoT Device Compatibility: Collects and analyzes data from numerous IoT devices.

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.

Amazon Web Services (AWS)

Redis offers high-speed, in-memory storage, renowned for real-time performance. It supports quick data retrieval and is used commonly in applications like analytics and gaming.

Renowned for real-time performance, Redis delivers high-speed in-memory storage, making it a favorite for applications needing quick data retrieval. Its diverse data structures and caching capabilities support a broad array of use cases, including analytics and gaming. Redis ensures robust scalability with master-slave replication and clustering, while its publish/subscribe pattern renders it reliable for event-driven applications. The solution integrates smoothly with existing systems, minimizing performance tuning needs. Although documentation on scalability and security could be improved, Redis remains cost-effective and stable, commonly utilized in cloud environments. Enhancing integration with cloud services like AWS and Google Cloud and refining GUI may improve usability.

What are the key features of Redis?

High Speed: In-memory data storage for swift access.
Scalability: Master-slave replication and clustering for growth.
Data Structures: Supports diverse types for varied uses.
Persistence: RDB snapshots and AOF logs ensure durability.
Integration: Seamless integration reduces tuning efforts.

What should users look for in Redis reviews?

Performance: Real-time data retrieval boosts efficiency.
Cost-Effectiveness: Stable, budget-friendly implementation.
Versatility: Suitable for diverse environments and platforms.
Reliability: Ensures data persistence and high availability.

Redis finds application across industries for tasks like caching to improve application performance and speed, minimizing database load. It enables real-time processing for session storage, push notifications, and analytics. As a messaging platform, Redis handles high traffic and supports replication and clustering for cross-platform scalability.

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers

1. Twitter 2. GitHub 3. StackOverflow 4. Pinterest 5. Snapchat 6. Craigslist 7. Digg 8. Weibo 9. Airbnb 10. Uber 11. Slack 12. Trello 13. Shopify 14. Coursera 15. Medium 16. Twitch 17. Foursquare 18. Meetup 19. Kickstarter 20. Docker 21. Heroku 22. Bitbucket 23. Groupon 24. Flipboard 25. SoundCloud 26. BuzzFeed 27. Disqus 28. The New York Times 29. Walmart 30. Nike 31. Sony 32. Philips

Amazon Timestream vs. Redis