Amazon DynamoDB vs Amazon Timestream comparison

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4,143 views|3,585 comparisons
96% willing to recommend
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1,323 views|1,226 comparisons
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Amazon DynamoDB and Amazon Timestream based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Amazon Web Services (AWS), Google and others in Managed NoSQL Databases.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pricing and Cost Advice
  • "Its subscription cost is lower than similar databases offered by other vendors."
  • "You can get committed capacity or transaction-based pricing. If you're doing it on demand, they charge based on whether you're reading or writing. They charge $1.25 for every million rights to the database and 25 cents for every million reads from the database. The first 25 gigabytes of storage are free, and they charge 25 cents a gigabyte a month. So, it's a very different world. It's a quarter a gigabyte a month. You can store a lot of data. They have a separate fee for automated backup, and if you want it globally distributed, where it's distributed around the world, there's a slightly different price."
  • "I would rate the pricing for this solution a four out of five."
  • "It is a little expensive."
  • "On a scale of one to ten, where one is a high price and ten is a low price, I rate the pricing a seven. It is not the cheapest, but it is not the costliest either."
  • "Amazon DynamoDB is cheap."
  • "Compared to a high-end relational database, it's cheap."
  • "For our use case usage, DynamoDB's pricing was okay. However, for high-traffic applications, the pricing structure becomes less attractive."
  • More Amazon DynamoDB Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Amazon DynamoDB is a fully managed service by AWS, and it is designed to provide fast and predictable performance.
    Top Answer:The solution's backup and restore could be improved to be able to utilize batch operations.
    Top Answer:DynamoDB is suitable for a wide range of applications, from small-scale projects to large-scale and high-traffic applications. Amazon DynamoDB is a high-performance managed service, and AWS fully… more »
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    2nd
    Views
    4,143
    Comparisons
    3,585
    Reviews
    14
    Average Words per Review
    525
    Rating
    8.6
    6th
    Views
    1,323
    Comparisons
    1,226
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    Overview

    Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. You can use Amazon DynamoDB to create a database table that can store and retrieve any amount of data, and serve any level of request traffic. Amazon DynamoDB automatically spreads the data and traffic for the table over a sufficient number of servers to handle the request capacity specified by the customer and the amount of data stored, while maintaining consistent and fast performance.

    Amazon Timestream is a purpose-built time series database service for collecting, storing, and processing time-series data such as server and network logs, sensor data, and industrial telemetry data for IoT and operational applications. Amazon Timestream processes trillions of events per day at one-tenth the cost of relational databases, with up to one thousand times faster query performance than a general-purpose database.

    Amazon Timestream efficiently stores and processes time-series data — data that measures how things change over time — by time intervals. As your data grows over time, Timestream’s adaptive query processing engine understands its location and format, making your data simpler and faster to analyze. Timestream also automates rollups, retention, tiering, and compression of data, so you can manage your data at the lowest possible cost. Timestream is serverless, so there are no servers to manage. It manages time-consuming tasks, such as server provisioning, software patching, setup, configuration, and data retention and tiering, freeing you to focus on building your applications.

    Sample Customers
    Samsung, Snapchat, Capital One, Expedia, Tinder, Airbnb, Comcast, Lyft, Redfin, Netflix, Adobe
    Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
    Top Industries
    REVIEWERS
    Comms Service Provider30%
    Computer Software Company20%
    Healthcare Company10%
    University10%
    VISITORS READING REVIEWS
    Computer Software Company19%
    Financial Services Firm16%
    Comms Service Provider6%
    Manufacturing Company6%
    VISITORS READING REVIEWS
    Computer Software Company19%
    Financial Services Firm11%
    Comms Service Provider10%
    Manufacturing Company9%
    Company Size
    REVIEWERS
    Small Business54%
    Midsize Enterprise4%
    Large Enterprise43%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise12%
    Large Enterprise65%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise13%
    Large Enterprise67%
    Buyer's Guide
    Amazon DynamoDB vs. Microsoft Azure Cosmos DB
    March 2024
    Find out what your peers are saying about Amazon DynamoDB vs. Microsoft Azure Cosmos DB and other solutions. Updated: March 2024.
    767,847 professionals have used our research since 2012.

    Amazon DynamoDB is ranked 2nd in Managed NoSQL Databases with 24 reviews while Amazon Timestream is ranked 6th in Managed NoSQL Databases. Amazon DynamoDB is rated 8.4, while Amazon Timestream is rated 0.0. The top reviewer of Amazon DynamoDB writes "A 10/10 solution with effective transaction-based pricing and stable millisecond response time". On the other hand, Amazon DynamoDB is most compared with Amazon DocumentDB, Google Cloud Bigtable, Microsoft Azure Cosmos DB, Amazon Neptune and Oracle NoSQL Database Cloud, whereas Amazon Timestream is most compared with Amazon Neptune, Microsoft Azure Cosmos DB, Amazon DocumentDB, Google Cloud Bigtable and Oracle NoSQL Database Cloud.

    See our list of best Managed NoSQL Databases vendors.

    We monitor all Managed NoSQL Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.