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Compare Amazon DocumentDB vs. Amazon Timestream

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577 views|416 comparisons
Amazon Timestream Logo
1,502 views|1,381 comparisons
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Questions from the Community
Top Answer: Migrations are easy using this product.
Top Answer: The pricing of the solution is pretty good. We don't find it to be too expensive.
Top Answer: There's a bit of a learning curve at the beginning. However, once you learn the product, you understand it much better and it becomes easier to work with. If you have many instances, many technical… more »
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Ranking
Views
577
Comparisons
416
Reviews
1
Average Words per Review
623
Rating
8.0
Views
1,502
Comparisons
1,381
Reviews
0
Average Words per Review
0
Rating
N/A
Comparisons
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Overview

Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads.

Amazon DocumentDB is designed from the ground-up to give you the performance, scalability, and availability you need when operating mission-critical MongoDB workloads at scale. In Amazon DocumentDB, the storage and compute are decoupled, allowing each to scale independently, and you can increase the read capacity to millions of requests per second by adding up to 15 low latency read replicas in minutes, regardless of the size of your data.

Amazon DocumentDB is designed for 99.99% availability and replicates six copies of your data across three AWS Availability Zones (AZs). You can use AWS Database Migration Service (DMS) for free (for six months) to easily migrate their on-premises or Amazon Elastic Compute Cloud (EC2) MongoDB databases to Amazon DocumentDB with virtually no downtime.

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.

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Sample Customers
Finra, The Washington Post, Freshop
Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
Top Industries
VISITORS READING REVIEWS
Media Company31%
Computer Software Company20%
Comms Service Provider10%
Insurance Company10%
VISITORS READING REVIEWS
Media Company28%
Computer Software Company24%
Comms Service Provider22%
Energy/Utilities Company6%

Amazon DocumentDB is ranked 4th in Managed NoSQL Databases with 1 review while Amazon Timestream is ranked 5th in Managed NoSQL Databases. Amazon DocumentDB is rated 8.0, while Amazon Timestream is rated 0.0. The top reviewer of Amazon DocumentDB writes "Pretty scalable with good documentation and has an easy migration process". On the other hand, Amazon DocumentDB is most compared with Amazon DynamoDB, Microsoft Azure Cosmos DB and Amazon Neptune, whereas Amazon Timestream is most compared with Amazon DynamoDB, Microsoft Azure Cosmos DB, 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.