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Amazon DocumentDB vs Google Cloud Bigtable comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 15, 2026

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
9th
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
10th
Average Rating
8.6
Reviews Sentiment
6.3
Number of Reviews
9
Ranking in other categories
Non-Relational Databases (4th)
 

Mindshare comparison

As of August 2026, in the Managed NoSQL Databases category, the mindshare of Amazon DocumentDB is 5.9%, down from 8.6% compared to the previous year. The mindshare of Google Cloud Bigtable is 5.5%, up from 5.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Managed NoSQL Databases Mindshare Distribution
ProductMindshare (%)
Amazon DocumentDB5.9%
Google Cloud Bigtable5.5%
Other88.6%
Managed NoSQL Databases
 

Featured Reviews

Hemanth Perepi - PeerSpot reviewer
Technical Lead at Trianz
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.
AS
Team Lead at a financial services firm with 5,001-10,000 employees
Consistent performance and seamless cloud integration enhance analytics capabilities while reducing management complexity
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. It would be easier if the journey of knowing when to use Google Cloud Bigtable versus other Cloud SQL and alternates such as Cloud Spanner is made clearer for users. Regarding additional functionality for Google Cloud Bigtable, I am uncertain if LLMs can be integrated or if Google Cloud Bigtable can act as a vector store for LLM-specific use cases where we are interacting or using generative AI capabilities.

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."
"The product is fast and easy to use."
"Efficient data retrieval with millisecond fetch times sets it apart from RDS."
"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."
"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."
"Scalability-wise, I rate the solution a ten out of ten."
"The solution is very stable; we've never experienced bugs or glitches, we haven't had crashes, and it works well and as expected 100% of the time."
"This solution is much more scalable than more traditional databases - at least the ones we are aware of."
"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."
"The main benefit I receive from Google Cloud Bigtable is the managed service part."
"Stability-wise, it is a simple solution. I rate the solution's stability a ten out of ten."
"Bigtable is very user-friendly where streaming data is required."
 

Cons

"The primary driver for our planned switch to Snowflake is that this client has to work with large JSON objects, each between four to six GB, and the schema is very wide with substantial free text."
"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."
"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 technical support could be improved."
"Pricing-wise, I find GCP can be a little costly, so I would rate it a 3.5."
"The pricing of the solution needs to be improved."
"This product needs better security and transparency, and the price should be reduced."
"The cost of this product is too expensive."
"Improvement should be made as per customer recommended and requirements."
"It would be nice if the pay-as-you-go license were a little cheaper."
"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 program is rather expensive - it depends on the size of your data."
 

Pricing and Cost Advice

Information not available
"I would like to see better pricing. It is not too expensive, but it isn't cheap either."
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909,725 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Computer Software Company
15%
Manufacturing Company
10%
Financial Services Firm
10%
Outsourcing Company
9%
Financial Services Firm
15%
Manufacturing Company
11%
Outsourcing Company
10%
Comms Service Provider
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business6
Large Enterprise4
 

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 is your experience regarding pricing and costs for Amazon DocumentDB?
The pricing and licensing of Amazon DocumentDB is managed directly by the client team with the vendor, so I am not involved in that aspect.
What needs improvement with Amazon DocumentDB?
We do not utilize Amazon DocumentDB's compatibility with MongoDB APIs because we do not have MongoDB in this client environment. There are current discussions about phasing out from AWS's Amazon Do...
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.
What advice do you have for others considering Google Cloud Bigtable?
Regarding integration with Google Cloud Bigtable and other Google Cloud services such as Dataflow, Dataproc, and BigQuery, we have not done that integration, but there are connectors available. Som...
 

Also Known As

No data available
Google BigTable, BigTable
 

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: August 2026.
909,725 professionals have used our research since 2012.