Compare Amazon Timestream vs. Google Cloud Bigtable

Amazon Timestream is ranked 5th in Managed NoSQL Databases while Google Cloud Bigtable is ranked 3rd in Managed NoSQL Databases. Amazon Timestream is rated 0, while Google Cloud Bigtable is rated 0. On the other hand, Amazon Timestream is most compared with Amazon DynamoDB, whereas Google Cloud Bigtable is most compared with Amazon DynamoDB and Microsoft Azure DocumentDB.
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Ranking
5th
Views
109
Comparisons
92
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0
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0
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N/A
3rd
Views
624
Comparisons
552
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
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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.

Cloud Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.

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Sample Customers
Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
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