Amazon Neptune vs Google Cloud Bigtable comparison

Amazon Web Services (AWS) and Google are both solutions in the Managed NoSQL Databases category. Amazon Web Services (AWS) is ranked #7 with an average rating of 8.3, while Google is ranked #10 with an average rating of 9.3. Amazon Web Services (AWS) holds a 7.7% mindshare in MND, compared to Google’s 4.6% mindshare. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Google users who would recommend it.

Amazon Neptune

Read 4 Amazon Neptune reviews

794 Views
794 Comparison Views

100% willing to recommend

Google Cloud Bigtable

Read 7 Google Cloud Bigtable reviews

614 Views
614 Comparison Views

100% willing to recommend

Amazon Neptune

Google Cloud Bigtable

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 3, 2025

Google Cloud Bigtable and Amazon Neptune compete in the database solutions category. Google Cloud Bigtable often holds the advantage in terms of pricing and support; however, Amazon Neptune's unique graph database features make it the preferable option for graph application cases.

Features: Google Cloud Bigtable is known for high-throughput capabilities, vast storage, and seamless integration with Google services. It efficiently manages large datasets and real-time analytics. Amazon Neptune, on the other hand, focuses on graph databases, supporting RDF and Property Graphs with high-performance query capability using open graph APIs. These features highlight Google Cloud Bigtable's analytical strengths versus Neptune's graph model proficiency.

Ease of Deployment and Customer Service: Google Cloud Bigtable offers a straightforward deployment via GCP, providing broad access and robust customer support within Google's ecosystem. Amazon Neptune also enables a user-friendly deployment, focusing on graph applications, supported by comprehensive Amazon AWS services.

Pricing and ROI: Google Cloud Bigtable features competitive pricing, flexible configurations, and efficient data-handling costs, presenting a solid ROI for data-intensive tasks. Amazon Neptune, while typically higher in cost, offers significant ROI through its advanced graph database capabilities, ideal for businesses relying on graph data applications.

To learn more, read our detailed Amazon Neptune vs. Google Cloud Bigtable Report (Updated: September 2025).

Buyer's Guide

Amazon Neptune vs. Google Cloud Bigtable

September 2025

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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 Neptune

Ranking in Managed NoSQL Databases

7th

Average Rating

8.6

Reviews Sentiment

4.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Google Cloud Bigtable

Ranking in Managed NoSQL Databases

10th

Average Rating

8.8

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of October 2025, in the Managed NoSQL Databases category, the mindshare of Amazon Neptune is 7.7%, down from 14.9% compared to the previous year. The mindshare of Google Cloud Bigtable is 4.6%, down from 8.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Managed NoSQL Databases Market Share Distribution
Product	Market Share (%)
Amazon Neptune	7.7%
Google Cloud Bigtable	4.6%
Other	87.7%

Managed NoSQL Databases

Featured Reviews

Reviewer3028812

Back End Developer at Zeta

Multiple graph models and languages support lead to efficient use, yet community growth brings challenges

The onboarding part and documentation where we could ideally use Amazon Neptune is excellent. Amazon Neptune as a product by AWS is exceptional because it supports multiple graph models such as RDF and property graph. It also has support for multiple querying languages such as Gremlin, SparkQL, and OpenCypher. It is very comprehensive in supporting every requirement we had at Zetta. Amazon Neptune's best features include its multiple servers, each supporting different languages such as OpenCypher, SparkQL, and RDF. For the same RDF graph or property graph, we could use multiple languages to query on different servers. This is exceptional because we have one graph DB with two endpoints exposed where we could interact with different languages on the same graph. Additionally, Amazon has a Sagemaker Jupyter Notebook which interacts with the Amazon Neptune database itself, providing a clean UI for representing nodes since the Jupyter Notebook has predefined graph representation capabilities through queries.

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Aakash Sharma

Senior Technical Architect at HCL Technologies

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.…

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Quotes from Members

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

Pros

"The initial setup is actually simple."

"Amazon Neptune as a product by AWS is exceptional because it supports multiple graph models such as RDF and property graph, and it also has support for multiple querying languages such as Gremlin, SparkQL, and OpenCypher, making it very comprehensive in supporting every requirement we had at Zetta."

"Relational databases are never good at identifying patterns in graphs or other similar relationships, whereas Amazon Neptune is."

"The most valuable feature is the backup and replication service."

"The solution is very convenient."

"It's very user-friendly where streaming data is required."

"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."

"The main benefit I receive from Google Cloud Bigtable is the managed service part."

"Scalability-wise, I rate the solution a ten out of ten."

"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."

Cons

"Amazon Neptune could improve by spreading more awareness for others to have an understanding of the solution because the technology is fairly new. The developer community and larger community do not understand it yet."

"In my scenario, the integration wasn't easy because ................in Java."

"We had a strict time constraint, and it took many sleepless nights to find information in the documentation."

"Improvement should be made as per customer recommended and requirements."

"The cost of this product is too expensive."

"The lagging problem of the product I face is an area of concern where improvements are required."

"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."

"This product needs better security and transparency, and the price should be reduced."

Pricing and Cost Advice

"Microsoft Azure and Amazon AWS are on par for pricing and Google has been raising its prices."

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Computer Software Company

15%

University

Construction Company

University

15%

Computer Software Company

12%

Financial Services Firm

Logistics Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What is your experience regarding pricing and costs for Amazon Neptune?

The cost aspects were managed by our SRE team who provisioned the instances. The pricing structure is similar to how EC2 instance pricing varies. I was informed that it was somewhat expensive, thou...

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What needs improvement with Amazon Neptune?

The main issue was the limited community of Amazon Neptune users, which meant everything needed to be explored independently. Although this was adventurous, it required more time investment in the ...

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What is your primary use case for Amazon Neptune?

We managed traffic at Zetta, and traffic would be moving between multiple services in our microservice architecture. Because of this setup, we were using Amazon Neptune to understand how many reque...

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What do you like most about Google Cloud Bigtable?

Scalability-wise, I rate the solution a ten out of ten.

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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....

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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.

See all answers

Comparisons

Microsoft Azure Cosmos DB vs Amazon Neptune

Compared 30% of the time

Neo4j AuraDB vs Amazon Neptune

Compared 29% of the time

Amazon DynamoDB vs Amazon Neptune

Compared 18% of the time

Amazon DocumentDB vs Amazon Neptune

Compared 14% of the time

Amazon Timestream vs Amazon Neptune

Compared 10% of the time

More Amazon Neptune Competitors

Microsoft Azure Cosmos DB vs Google Cloud Bigtable

Compared 29% of the time

MongoDB Enterprise Advanced vs Google Cloud Bigtable

Compared 25% of the time

Amazon DynamoDB vs Google Cloud Bigtable

Compared 20% of the time

Amazon Timestream vs Google Cloud Bigtable

Compared 15% of the time

Amazon Keyspaces vs Google Cloud Bigtable

Compared 10% of the time

More Google Cloud Bigtable Competitors

Product Reports

Buyer's Guide

Amazon Neptune

October 2025

Download Amazon Neptune product report

Buyer's Guide

Managed NoSQL Databases

September 2025

Download Google Cloud Bigtable product report

Overview

Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds latency. Amazon Neptune supports popular graph models Property Graph and W3C's RDF, and their respective query languages Apache TinkerPop Gremlin and SPARQL, allowing you to easily build queries that efficiently navigate highly connected datasets. Neptune powers graph use cases such as recommendation engines, fraud detection, knowledge graphs, drug discovery, and network security.

Amazon Neptune is highly available, with read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across Availability Zones. Neptune is secure with support for HTTPS encrypted client connections and encryption at rest. Neptune is fully managed, so you no longer need to worry about database management tasks such as hardware provisioning, software patching, setup, configuration, or backups.

Amazon Web Services (AWS)

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.

Google

Sample Customers

Intuit, Pearson, Samsung, Ignition One, Lifeomic, Blackfynn, Paysense

Cognite, Dow Jones, Loblaw Digital

Buyer's Guide

Amazon Neptune vs. Google Cloud Bigtable

September 2025

Free Report: Amazon Neptune vs. Google Cloud Bigtable

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