Compare Amazon Timestream vs. Microsoft Azure Cosmos DB

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Top Answer: I like the scalability. There aren't any constraints for posting in the geolocation. I also like the SQL architecture.
Top Answer: The query is a little complex. SQL server should have more options. But the query should be better. The setup takes a bit of time but once it's done, it goes well. Backend developers need a bit of… more »
Top Answer: We have a lot of use cases like for the web API backend where we have most of the processing jobs. It supports mobile, browser, and tablet. We have a single face application that interacts with the… more »
Ranking
Views
601
Comparisons
530
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Views
1,014
Comparisons
797
Reviews
1
Average Words per Review
479
Avg. Rating
8.0
Popular Comparisons
Compared 80% of the time.
Also Known As
Microsoft Azure DocumentDB
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Microsoft
Overview

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.

DocumentDB is a fully managed NoSQL database service built for fast and predictable performance, high availability, elastic scaling, global distribution, and ease of development. As a schema-free NoSQL database, DocumentDB provides rich and familiar SQL query capabilities with consistent low latencies on JSON data - ensuring that 99% of your reads are served under 10 milliseconds and 99% of your writes are served under 15 milliseconds. These unique benefits make DocumentDB a great fit for web, mobile, gaming, and IoT, and many other applications that need seamless scale and global replication.

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Learn more about Microsoft Azure Cosmos DB
Sample Customers
Expedia, Intuit, Royal Dutch Shell, Brooks BrothersAmerican Cancer Society, Exxon Mobil, Symantec
Top Industries
VISITORS READING REVIEWS
Media Company31%
Computer Software Company23%
Comms Service Provider22%
K 12 Educational Company Or School4%
VISITORS READING REVIEWS
Computer Software Company23%
Comms Service Provider16%
Media Company13%
Energy/Utilities Company10%
Amazon Timestream is ranked 4th in Managed NoSQL Databases while Microsoft Azure Cosmos DB is ranked 2nd in Managed NoSQL Databases with 1 review. Amazon Timestream is rated 0.0, while Microsoft Azure Cosmos DB is rated 8.0. On the other hand, the top reviewer of Microsoft Azure Cosmos DB writes "Has good scaling abilities and good automatic performance ". Amazon Timestream is most compared with Amazon DynamoDB and Google Cloud Bigtable, whereas Microsoft Azure Cosmos DB is most compared with Amazon DynamoDB, Google Cloud Bigtable and Amazon Neptune.

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