Try our new research platform with insights from 80,000+ expert users

Amazon DocumentDB vs Google Cloud Bigtable comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 3, 2025

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Amazon DocumentDB
Ranking in Managed NoSQL Databases
7th
Average Rating
8.2
Reviews Sentiment
4.0
Number of Reviews
6
Ranking in other categories
No ranking in other categories
Google Cloud Bigtable
Ranking in Managed NoSQL Databases
9th
Average Rating
8.8
Reviews Sentiment
6.3
Number of Reviews
7
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2025, in the Managed NoSQL Databases category, the mindshare of Amazon DocumentDB is 9.1%, down from 13.7% compared to the previous year. The mindshare of Google Cloud Bigtable is 5.3%, down from 9.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Managed NoSQL Databases
 

Featured Reviews

Hemanth Perepi - PeerSpot reviewer
Supports high-level data management and secure migration
Over the past few months, I’ve been working closely with a managed database service, and a few features stood out as game changers for me and my team: MongoDB Compatibility – The seamless migration experience was a huge win. No need to rewrite code or change drivers, which meant less friction and faster adoption for our developers. Fully Managed Service – Patching, backups, and monitoring are all automated. This freed up our team to focus on building applications instead of managing infrastructure. Separation of Compute & Storage – The flexibility to scale compute and storage independently gave us both cost savings and better performance optimization. Multi-AZ High Availability – Automatic failover and cross-AZ replication gave us peace of mind with improved uptime and disaster recovery. Performance at Scale – Even with large datasets, performance has remained consistent. Read replicas and efficient indexing have been especially valuable for read-heavy workloads. Security – End-to-end encryption, VPC isolation, and IAM integration made enterprise-level security feel straightforward and reliable. Backup & Recovery – Point-in-time recovery with automated backups made data protection effortless.
Aakash Sharma - PeerSpot reviewer
Great for streaming data and being a managed service is an advantage
Our primary use case is for analytics, analyzing the data sets and curing Bigtable is very user-friendly where streaming data is required. I think it's relatively easier to use than Ascentra. The fact that it's a managed service is an advantage.   The cost of this product is too expensive.…

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Amazon DocumentDB is a simple solution."
"Efficient data retrieval with millisecond fetch times sets it apart from RDS."
"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."
"There are many benefits to using Amazon DocumentDB, for example, regarding the price, you can start with a small database and when you need more performance, you can grow the database."
"Efficient data retrieval with millisecond fetch times sets it apart from RDS."
"The main benefit I receive from Google Cloud Bigtable is the managed service part."
"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."
"Scalability-wise, I rate the solution a ten out of ten."
"The main benefit I receive from Google Cloud Bigtable is the managed service part."
"The most valuable feature is the backup and replication service."
"Stability-wise, it is a simple solution. I rate the solution's stability a ten out of ten."
"It's very user-friendly where streaming data is required."
 

Cons

"Improvements for Amazon DocumentDB could focus on enhancing high availability, sharding methods, replication techniques, and automatic failover in case the primary goes down, as continuous backup is an excellent option for disaster recovery."
"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."
"The technical support could be improved."
"There's a bit of a learning curve at the beginning."
"However, when you need more volume or more registers, it becomes complicated because the performance adjustments and tuning are challenging."
"Improvements for Amazon DocumentDB could focus on enhancing high availability, sharding methods, replication techniques, and automatic failover in case the primary goes down, as continuous backup is an excellent option for disaster recovery."
"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."
"I've used Bigtable for about three or four years."
"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."
"The cost of this product is too expensive."
report
Use our free recommendation engine to learn which Managed NoSQL Databases solutions are best for your needs.
865,384 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Computer Software Company
23%
Financial Services Firm
17%
Manufacturing Company
10%
Government
6%
University
16%
Computer Software Company
12%
Financial Services Firm
7%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

What advice do you have for others considering Amazon DocumentDB?
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 im...
What do you like most about Amazon DocumentDB?
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 ...
What is your experience regarding pricing and costs for Amazon DocumentDB?
The specific DocumentDB implementation we use is on the expensive side. We tend to use it strategically in complex systems, primarily for lookup capabilities. For simpler use cases, we often choose...
What do you like most about Google Cloud Bigtable?
Scalability-wise, I rate the solution a ten out of ten.
What needs improvement with Google Cloud Bigtable?
One point for improvement in Google Cloud Bigtable is that people have confusion in mapping. There are many similar products available, and Google has managed services for similar products as well....
What is your primary use case for Google Cloud Bigtable?
My main use case for Google Cloud Bigtable is mainly for advertisement-related analytics-related use cases.
 

Overview

 

Sample Customers

Finra, The Washington Post, Freshop
Cognite, Dow Jones, Loblaw Digital
Find out what your peers are saying about Amazon DocumentDB vs. Google Cloud Bigtable and other solutions. Updated: July 2025.
865,384 professionals have used our research since 2012.