Amazon Timestream vs Neo4j AuraDB comparison

Amazon Web Services (AWS) and Neo4j are both solutions in the Managed NoSQL Databases category. Amazon Web Services (AWS) is ranked #6 with an average rating of 9.0, while Neo4j is ranked #7 with an average rating of 8.9. Amazon Web Services (AWS) holds a 6.2% mindshare in MND, compared to Neo4j’s 5.3% mindshare. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 87% of Neo4j users who would recommend it.

Amazon Timestream

Read 5 Amazon Timestream reviews

643 Views
643 Comparison Views

100% willing to recommend

Neo4j AuraDB

Read 8 Neo4j AuraDB reviews

634 Views
634 Comparison Views

87% willing to recommend

Amazon Timestream

Neo4j AuraDB

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 15, 2026

Amazon Timestream and Neo4j AuraDB compete in the database management space. Neo4j AuraDB has an edge in handling complex data relationships due to its advanced graph capabilities.

Features: Amazon Timestream offers maintenance-free operation, real-time data processing, and easy scalability. It efficiently handles time series data with seamless AWS integration. Neo4j AuraDB excels with its advanced graph capabilities, broad language support, and integration flexibility with tools like NeoDash and external applications, making it ideal for relationship-driven data analysis.

Room for Improvement: Amazon Timestream could enhance its data merging capabilities and provide smoother Python integration. Notifications on AWS-specific operational changes could be improved. Neo4j AuraDB needs better service lifecycle management, clearer migration procedures, and improved communication on service suspensions to prevent data access issues.

Ease of Deployment and Customer Service: Amazon Timestream is cloud-native and aligns with AWS services, offering convenient deployment for AWS users, though it requires specific expertise for deeper functionalities. Neo4j AuraDB simplifies integration with its cloud-native deployment model and provides comprehensive support services, giving it a customer service edge.

Pricing and ROI: Amazon Timestream offers cost-effectiveness with a transparent pricing structure, appealing to budget-conscious users with a focus on ROI. Neo4j AuraDB, though more costly, offers significant ROI through its sophisticated features, making it a preferable choice when handling complex data justifies the investment.

To learn more, read our detailed Amazon Timestream vs. Neo4j AuraDB Report (Updated: December 2025).

Buyer's Guide

Amazon Timestream vs. Neo4j AuraDB

December 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 Timestream

Ranking in Managed NoSQL Databases

6th

Average Rating

9.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Neo4j AuraDB

Ranking in Managed NoSQL Databases

7th

Average Rating

8.6

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2026, in the Managed NoSQL Databases category, the mindshare of Amazon Timestream is 6.2%, down from 10.5% compared to the previous year. The mindshare of Neo4j AuraDB is 5.3%, down from 5.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Managed NoSQL Databases Market Share Distribution
Product	Market Share (%)
Amazon Timestream	6.2%
Neo4j AuraDB	5.3%
Other	88.5%

Managed NoSQL Databases

Featured Reviews

Sushil Pandey

Data Engineer at Tiger Analytics

It is helpful to get telemetry data from the devices in real-time

It is an easily scalable solution. When it comes to the retention period, if someone wants to change, they have to define it at the start. Later on, if users want to change it again, like, or increase the retention policy, then they have to create the table again and do so, and if it is not done, then we face problems. It will increase the retention, but when you try to insert a record or an older record that is not included in the range of your retention period, then you can face some problems and, like, it will throw some errors. The tool is scalable, but it should be defined at the start as to how much retention you want. For scalability, I rate the tool a six or seven out of ten.

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Jeff Dalgliesh

Founder at data2

Room for improvement in interface capabilities while rapidly solving domain-specific problems

Neo4j AuraDB is a great tool for understanding connections between things. The best features Neo4j AuraDB offers are that it is easy to quickly build a solution with their tooling. Regarding the tooling, I love how fast it is that you can use NeoDash to quickly mock up a UI, and it is really nice that you can build a GraphQL endpoint to connect it to third-party applications, such as Retool or custom applications that we build for clients. Neo4j AuraDB has impacted my organization positively as it has helped me solve problems much more quickly. A specific example of a problem I solved more quickly with Neo4j AuraDB is that I was able to work with an LLM to build graph data models for domain-specific problems. The collaboration with the LLM and Neo4j AuraDB sped up my process as I'm building a tool on top of Neo4j that allows me to control how I can access data in the graph, and Neo4j had a nice interface that allowed us to work with their underlying data model.

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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

"If you drop a message, the solution's technical support will definitely reply."

"What I like best is that the tool is easy to collect and store data and is fast and scalable. The fully managed database is easy to understand."

"The best things about Amazon Timestream are it's maintenance-free, customizable, and has no lag issues. It's always real-time."

"Using Amazon Timestream has been seamless due to its integration within the AWS ecosystem and ease of use for the engineering team."

"You can quickly aggregate data from the last ten years with Amazon Timestream."

"From my experience, I particularly like the professional version. Initially, developers often start with the free variant. Once the project grows, we switch to the professional version, which offers multiple databases, expanded memory, and better scalability. This allows us to handle more data and use cloud scaling features."

"The most valuable features of Neo4j AuraDB include its flexible data model and broad language support."

"The most beneficial things in terms of AuraDB are its speed, its good pricing, the multi-cloud availability."

"The tool is easy to use."

"I like the idea of graphs and nodes and the possibilities Neo4j AuraDB offers."

"The best features Neo4j AuraDB offers are that it is easy to quickly build a solution with their tooling."

"Integrating the front-end language with Neo4j AuraDB is a very easy process."

Cons

"There are disadvantages when it comes to time series databases since you can't delete anything from Amazon Timestream data."

"There are certain features that we would like to see added and we are collaborating with the product teams on these areas."

"The tool could be improved by increasing the batch size from one hundred records to five hundred or a thousand to speed up indexing."

"The solution could be improved by making it easier for new graduates like me to use. Better explanations of queries and how to use them with other AWS services would help."

"Arranging the database schema is a bit challenging."

"During the product's initial setup phase, there were some issues due to disconnections in the tool's network."

"In terms of AuraDB, the conversations have always been around scalability."

"There’s room for improvement in Neo4j AuraDB, especially on the developer side. The learning curve can be steep, and the interface for developing and pushing code can be unnecessarily complex. It might be beneficial to simplify this process to help developers ramp up more quickly. Working with graph databases like Neo4j can be more challenging than standard databases, particularly for juniors and those new to graph technology. Streamlining the development process could make it easier for new users to get up to speed. This would be particularly useful for teams with less experience in graph databases. If I could add a feature to Neo4j AuraDB, I’d focus on improving the Bloom interface. It’s excellent for visualizing smaller datasets, but navigating through it becomes challenging as the data grows—say, past 100,000nodes. The interface works well for beginners but doesn’t scale effectively for more advanced users of large datasets. I want a UI that bridges the gap between the easy-to-use Bloom interface and more complex, text-based tools. This would help manage larger datasets more efficiently and improve performance."

"I would love to see a Retool type of interface builder with Neo4j AuraDB."

"I've experienced it crashing a few times, so stability could be better."

"Some features can help if they can visualize graphs better."

Pricing and Cost Advice

"Amazon Timestream's pricing seems manageable to me."

"We pay over $10 million a year to Amazon."

"For 1GB of data, the solution charges $ 0.01 in the US region."

"We don't see high costs with Amazon Timestream, which may vary by company."

"I used the free tier."

"The tool's enterprise edition is very expensive."

"Neo4j AuraDB is reasonably priced, especially considering it removes the need for cloud administration and associated costs. It's a good deal for the professional version, as it includes managed services, which reduces the overhead compared to setting up your own infrastructure. The cost can be higher for enterprise-scale projects, but that's often due to the scale and complexity of the project rather than the product itself. Startups sometimes overestimate their needs and jump to enterprise pricing too quickly, leading to higher costs than necessary."

"I am using an open-source version of Neo4j AuraDB."

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Top Industries

By visitors reading reviews

Computer Software Company

13%

Manufacturing Company

11%

Insurance Company

Outsourcing Company

Computer Software Company

33%

Educational Organization

11%

University

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	2
Large Enterprise	2

Questions from the Community

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

Amazon Timestream's pricing seems manageable to me.

See all answers

What needs improvement with Amazon Timestream?

We are working on a few open change requests with the engineering teams on AWS's side. There are certain features that we would like to see added and we are collaborating with the product teams on ...

See all answers

What is your primary use case for Amazon Timestream?

We use Amazon Timestream as a data historian for IT data. It stores all individual measurements of our customers' IoT devices for a certain period of time, allowing them to perform time-series-base...

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What is your experience regarding pricing and costs for Neo4j AuraDB?

It has fair pricing.

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What is your primary use case for Neo4j AuraDB?

My main use case for Neo4j AuraDB is solving water optimization problems for oil and gas operations. Neo4j AuraDB helps us resolve those water optimization problems by allowing us to store knowledg...

See all answers

What advice do you have for others considering Neo4j AuraDB?

My advice to others looking into using Neo4j AuraDB is to consider how many graphs you can create as quickly as needed. I think Neo4j AuraDB is doing some amazing things. On a scale of 1-5, I rate ...

See all answers

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Compared 30% of the time

MongoDB Atlas vs Neo4j AuraDB

Compared 29% of the time

Microsoft Azure Cosmos DB vs Neo4j AuraDB

Compared 21% of the time

MongoDB Enterprise Advanced vs Neo4j AuraDB

Compared 8% of the time

Google Cloud Firestore vs Neo4j AuraDB

Compared 7% of the time

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Product Reports

Buyer's Guide

Managed NoSQL Databases

January 2026

Download Amazon Timestream product report

Buyer's Guide

Neo4j AuraDB

January 2026

Download Neo4j AuraDB product report

Also Known As

No data available

Neo4j Aura

Overview

Amazon Timestream is a fully managed, maintenance-free database offering real-time data handling and seamless long-term data aggregation without merge operations, enhancing scalability and speed for IT environments and IoT data.

This service is customizable and user-friendly, making it a preferred choice for managing time-series data efficiently. Users find it beneficial for real-time analytics, monitoring application health, and automating data pipelines. While data charge management and schema design require attention, active collaboration with AWS is ongoing for feature improvements. Increasing batch size for indexing and simplifying the interface are areas identified for enhancement. The database's scalability is highly appreciated, allowing easy management of data collection and storage.

What are the key features of Amazon Timestream?

Maintenance-Free: Eliminates the need for database maintenance tasks.
Customizable: Offers flexible configurations to fit diverse data needs.
Real-Time Data Handling: Processes data instantly for up-to-the-minute insights.
Seamless Data Aggregation: Efficiently aggregates data over extended periods.
No Merge Operations: Simplifies data updating and management processes.
Scalability: Supports growth with efficient data storage and collection.

Why should users consider Amazon Timestream for their data needs?

Easy Implementation: Simplifies deployment with a user-friendly interface.
Efficient Data Storage: Quickly stores and retrieves large volumes of time-series data.
Enhanced Analytics: Provides tools for in-depth real-time analysis.
Scalable Solutions: Easily adapts to evolving data metrics and usage.
IoT Device Compatibility: Collects and analyzes data from numerous IoT devices.

Industries use Amazon Timestream to manage real-time analytics and application health monitoring. It tracks customer data size, automates pipelines, and supports time-series analyses for scaling. Organizations employ it for telemetry data management, queried in projects like microgrid solar energy, acting as a data historian for storing IoT device measurements.

Amazon Web Services (AWS)

Neo4j AuraDB offers a flexible data model with extensive language integration and seamless multi-cloud accessibility. Known for scalability and performance, it supports efficient graph-based data handling across diverse applications.

Neo4j AuraDB is recognized for its comprehensive graph database capabilities, providing scalability, speed, and integration with multiple programming languages and tools. Its dedicated query language and AWS Cloud hosting enhance reliability and performance. While improvements in stability and GUI are necessary, its ability to handle graph data effectively aids in AI-driven projects and relationship-centric modeling. Researchers utilize it for cipher language studies and scalable databases, tackling diverse industry challenges.

What are the key features of Neo4j AuraDB?

Flexible Data Model: Adapts to varied workloads and requirements.
Broad Language Integration: Supports multiple programming languages for development versatility.
Multi-cloud Availability: Provides seamless deployment across different cloud platforms.
Graph-based Data Handling: Efficiently manages complex data relationships.
NeoDash Support: Facilitates quick application development with comprehensive tools.
Dedicated Query Language: Optimized for performance and reliability for graph queries.

What benefits should users consider when evaluating Neo4j AuraDB?

Scalability: Suitable for both small and large-scale graph database projects.
Performance: High-speed data processing for efficient application performance.
Reliability: AWS Cloud hosting ensures consistent uptime and security.
AI Integration: Provides contextual insights beneficial for data-driven initiatives.
Development Versatility: Supports a range of programming languages for diverse development needs.

Neo4j AuraDB is employed in industries like oil and gas, where companies address water optimization and construct knowledge graphs. It excels in relationship-centric modeling, handling structured and unstructured data for comprehensive insights, proving essential for graph-based reasoning in diverse applications.

Neo4j

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers

Information Not Available

Buyer's Guide

Amazon Timestream vs. Neo4j AuraDB

December 2025

Free Report: Amazon Timestream vs. Neo4j AuraDB

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