Amazon DocumentDB vs Google Cloud Bigtable comparison

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Amazon Web Services (AWS) Logo
2,064 views|1,581 comparisons
100% willing to recommend
Google Logo
1,935 views|1,155 comparisons
100% willing to recommend
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Migrations are easy using this product.""Its speed has had the most significant impact on our projects. For starters, we used it for its flexibility. With DocumentDB, you're not tied to a rigid structure like you are with Aurora or other relational databases. This makes it great for startups."

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"Bigtable is faster than other competitors in the market. It helps us collate all the data, and the security features are great. The latency is low, and the computation speed is fantastic. Bigtable is also a managed service, so you don't have to worry about anything aside from analyzing the data ingested.""The solution is very convenient.""Stability-wise, it is a simple solution. I rate the solution's stability a ten out of ten.""The most valuable feature is the backup and replication service.""Scalability-wise, I rate the solution a ten out of ten.""It's very user-friendly where streaming data is required."

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Cons
"One possible improvement could be a hybrid database solution, where parts of the application leverage a relational database alongside DocumentDB. If a system were heavily relational in nature, a database like PostgreSQL might be a good fit.""There's a bit of a learning curve at the beginning."

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"I've used Bigtable for about three or four years.""The lagging problem of the product I face is an area of concern where improvements are required.""This product needs better security and transparency, and the price should be reduced.""Improvement should be made as per customer recommended and requirements.""The cost of this product is too expensive.""When it comes to complex queries, a user can't get any help from a drop-down box and pick columns. It would be great if some improvements could be made in the aforementioned area concerning the solution."

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Questions from the Community
Top Answer:Amazon DocumentDB offers us many useful features. It is definitely a solution that an organization in need of comprehensive and effective document management should invest its money into. We are… more »
Top Answer:Scalability-wise, I rate the solution a ten out of ten.
Top Answer:The lagging problem of the product I face is an area of concern where improvements are required. In general, the performance of the product needs improvement.
Top Answer:When a client gives our organization a project where they need a dashboard for their company, they provide us with some data from their database, which is usually presented in Google Cloud Bigtable… more »
Ranking
5th
Views
2,064
Comparisons
1,581
Reviews
0
Average Words per Review
0
Rating
N/A
3rd
Views
1,935
Comparisons
1,155
Reviews
5
Average Words per Review
365
Rating
9.0
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.

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.

Sample Customers
Finra, The Washington Post, Freshop
Cognite, Dow Jones, Loblaw Digital
Top Industries
VISITORS READING REVIEWS
Computer Software Company18%
Financial Services Firm17%
Manufacturing Company8%
Insurance Company6%
VISITORS READING REVIEWS
University14%
Computer Software Company14%
Financial Services Firm10%
Retailer9%
Company Size
VISITORS READING REVIEWS
Small Business19%
Midsize Enterprise10%
Large Enterprise71%
VISITORS READING REVIEWS
Small Business17%
Midsize Enterprise15%
Large Enterprise68%
Buyer's Guide
Amazon DynamoDB vs. Google Cloud Bigtable
March 2024
Find out what your peers are saying about Amazon DynamoDB vs. Google Cloud Bigtable and other solutions. Updated: March 2024.
767,995 professionals have used our research since 2012.

Amazon DocumentDB is ranked 5th in Managed NoSQL Databases with 2 reviews while Google Cloud Bigtable is ranked 3rd in Managed NoSQL Databases with 6 reviews. Amazon DocumentDB is rated 8.6, while Google Cloud Bigtable is rated 8.8. The top reviewer of Amazon DocumentDB writes "Pretty scalable with good documentation and has an easy migration process". On the other hand, the top reviewer of Google Cloud Bigtable writes "A stable product to help resolve production-related issues". Amazon DocumentDB is most compared with Amazon DynamoDB, Microsoft Azure Cosmos DB, Amazon Neptune, Amazon Timestream and Oracle NoSQL Database Cloud, whereas Google Cloud Bigtable is most compared with Amazon DynamoDB, Microsoft Azure Cosmos DB and Amazon Timestream.

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.