InfluxDB vs Neo4j Graph Database comparison

InfluxData and Neo4j are both solutions in the NoSQL Databases category. InfluxData is ranked #6 with an average rating of 8.4, while Neo4j is ranked #9 with an average rating of 9.0. InfluxData holds a 5.2% mindshare in ND, compared to Neo4j’s 6.1% mindshare. Additionally, 100% of InfluxData users are willing to recommend the solution, compared to 100% of Neo4j users who would recommend it.

InfluxDB

Read 20 InfluxDB reviews

4,356 Views
1,307 Comparison Views

100% willing to recommend

Neo4j Graph Database

Read 6 Neo4j Graph Database reviews

1,485 Views
1,307 Comparison Views

100% willing to recommend

InfluxDB

Neo4j Graph Database

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 7, 2025

InfluxDB and Neo4j Graph Database compete in the data storage category, with InfluxDB having the upper hand in handling time-series data efficiently, while Neo4j excels in managing highly connected data with advanced relationship insights.

Features: InfluxDB offers high-performance time-series data handling, supports large-scale metrics collection, and includes an integrated dashboard for visualization. Neo4j provides robust graph processing capabilities, ACID transactions, and a query language optimized for complex relationship traversal.

Room for Improvement: InfluxDB could enhance its integration capabilities with third-party tools, expand its query options for more complex data needs, and improve scalability for massive datasets. Neo4j may benefit from a more simplified learning curve for beginners, enhanced visualization tools, and reduced complexity in its initial deployment process.

Ease of Deployment and Customer Service: InfluxDB offers straightforward deployment with extensive documentation and community support, making it easy for developers familiar with time-series data. Neo4j features a robust deployment model with professional support catering well to enterprises, albeit with more complex configurations.

Pricing and ROI: InfluxDB is preferred for its low initial setup cost and substantial ROI in time-series applications. Neo4j's higher setup costs are justified by significant ROI in projects requiring complex relationship mapping, making it a strategic choice for investments in data analysis.

To learn more, read our detailed InfluxDB vs. Neo4j Graph Database Report (Updated: April 2026).

Buyer's Guide

InfluxDB vs. Neo4j Graph Database

April 2026

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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

InfluxDB

Ranking in NoSQL Databases

6th

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Non-Relational Databases (1st), Open Source Databases (7th), Network Monitoring Software (13th), IT Infrastructure Monitoring (15th)

Neo4j Graph Database

Ranking in NoSQL Databases

9th

Average Rating

8.6

Reviews Sentiment

7.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2026, in the NoSQL Databases category, the mindshare of InfluxDB is 5.2%, down from 10.6% compared to the previous year. The mindshare of Neo4j Graph Database is 6.1%, up from 4.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
InfluxDB	5.2%
Neo4j Graph Database	6.1%
Other	88.7%

NoSQL Databases

Featured Reviews

Mugeesh Husain

Team Lead, Software at Energybox

Time series data has been managed efficiently for IoT sensors but reporting still needs improvement

How InfluxDB can be improved is relevant since for Energy Box, we face certain issues. We have customers worldwide, including the United States, United Kingdom, and Europe, but when we expanded to China two years ago, they indicated that they do not support the cloud version there. Our application is built on the cloud, which required us to create a separate application for Azure China, which was painful for us. The second issue involves frequent version changes. For example, we started with version one, transitioned to version two, and I heard they are considering InfluxDB version three, reverting to earlier practices. InfluxDB should improve without completely changing its approach. Now we have to redo our work for InfluxDB version three. Regarding needed improvements, the documentation is sufficient, but pricing presents a challenge. InfluxDB has standard pricing, which is acceptable for large companies. However, for startups in our position, they should provide special discounts so everyone can utilize it. The pricing should adapt as companies grow, which is a reasonable expectation.

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Raju Tsn

VP odfTechnology at Enterpi Software Solutions Private Limited

Delivers superior search and data aggregation capabilities

Neo4j helps with advanced search needs, providing good search results and aggregates compared to MongoDB. Aggregating with MongoDB can be difficult; however, with Neo4j, it's easier. Aggregating data, backing up, and creating new clusters are user-friendly from the back end. In DevOps web deployment, we noticed no database issues. We created Docker instances and set them up efficiently, managing databases up to 50 gigabytes.

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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 solution is very powerful."

"The user interface is well-designed and easy to use. It provides a clear overview of the data, making it simple to understand the information at hand."

"It helps me maintain my solution easily because it is very reliable, so we didn't face any performance issues or crashes regarding our queries; we can get the results very fast."

"InfluxDB reduced my time to show data without any interruption, also reducing the number of people needed to manage the project; it is very good to have InfluxDB in my project."

"The most valuable features are aggregating the data and integration with Graphana for monitoring."

"The most valuable feature of the solution is we can use InfluxDB to integrate with and plug into any other tools."

"The platform operates very quickly. It is easy to configure, connect, and query and integrates seamlessly with Grafana."

"InfluxDB works as expected with excellent scalability and stability, which is critical for our application."

More InfluxDB pros

"The solution's best feature is how it differs from traditional SQL databases. It's hard to map people and find those near me in SQL, which requires long, complex queries. Neo4j Graph Database makes this easier with simpler queries. It also supports more data types, like JSON, which SQL doesn't."

"Enables people to understand what the business problem is and how the technology helps."

"It is good for search-based tasks, providing solid search results and aggregate results."

"The graph modeling paradigm suits our data set well, where there may be orders of magnitude more connections between data points than data points themselves."

"For now, the tool doesn't break down or stop, so it is quite stable."

"It enables circumstances which would have been a complex problem to be simplified."

"Neo4j helps with advanced search needs, providing good search results and aggregates compared to MongoDB."

"Creates the ability to visualize outputs."

More Neo4j Graph Database pros

Cons

"I chose an 8 out of 10 because there is room for improvement, such as regarding backups and enhanced security through other types of authentication or encrypted data in TLS."

"If it gets a little bit more into the metric side, then it would really be great, similar to Prometheus."

"Sometimes, when we write too much data within a minute, the data count becomes excessive, reaching perhaps 100,000 or 500,000 data points, and InfluxDB gives a timeout exception, which we must handle in our application."

"The solution doesn't have much of a user interface."

"In terms of features that I would like to see or have, in the community version, some features are not available. I would like to have clustering and authentication in the community version."

"I've tried both on-premises and cloud-based deployments, and each has its limitations."

"InfluxDB cannot be used for high-cardinality data. It's also difficult and time-consuming to write queries, and there are some issues with bulk API."

"The solution doesn't have much of a user interface."

More InfluxDB cons

"There are concerns about performance and whether the tool can necessarily scale to provide the solution."

"The only problem is that the community is quite small."

"There are things I found unintuitive or difficult to understand, however I can't say this is a deficiency in the product and likely more a function of my relatively low experience."

"The tool could improve by having more resources, especially for Golang, which we use. It lacks good basic libraries and doesn't have an ORM (Object-Relational Mapping) tool, which many NoSQL databases have. We thought about building an ORM for the Neo4j Graph Database but are too busy."

"The only problem is that the community is quite small."

"For me, when the tool was deployed on an on-premises model, it was a little bit difficult the first time."

"There are concerns about performance and whether the tool can necessarily scale to provide the solution."

"So far, we have not had any issues and are happy with the product in general."

Pricing and Cost Advice

"InfluxDB recently increased its price. It is very expensive now."

"We are using the open-source version of InfluxDB."

"The tool is an open-source product."

"InfluxDB is open-source, but there are additional costs for scaling."

"The tool is not expensive."

"The solution is open source so that you can use it for free. They also offer an enterprise version with its billing. If your company is earning well, I suggest using the enterprise version. Otherwise, you can deploy it on your own cloud and pay based on usage."

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Manufacturing Company

10%

Comms Service Provider

Construction Company

Financial Services Firm

15%

Construction Company

University

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	8

No data available

Questions from the Community

What needs improvement with InfluxDB?

One thing I appreciate about InfluxDB is its balance between performance and ease of use, especially with Flux making complex queries accessible. However, I do wish the documentation and community ...

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What is your primary use case for InfluxDB?

My main use case for InfluxDB has been mostly for monitoring and analyzing the time-series data related to system metrics, and also tracking logs and API performance. In my current role, I use it t...

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What advice do you have for others considering InfluxDB?

My advice for others looking into using InfluxDB would be to clearly define their time-series data use cases upfront to ensure that InfluxDB fits their needs, especially for high-frequency metrics ...

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What is your experience regarding pricing and costs for Neo4j?

The solution is open source so that you can use it for free. They also offer an enterprise version with its billing. If your company is earning well, I suggest using the enterprise version. Otherwi...

See all answers

What needs improvement with Neo4j Graph Database?

The only problem is that the community is quite small.

See all answers

What is your primary use case for Neo4j Graph Database?

We have used Neo4j in microservices. In one of the microservices, we used Neo4j since we have some requirements similar to MongoDB plus Elasticsearch. It performs both functions. Instead of doing t...

See all answers

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Compared 8% of the time

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Compared 7% of the time

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Compared 7% of the time

MySQL vs InfluxDB

Compared 5% of the time

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Compared 20% of the time

MongoDB Enterprise Advanced vs Neo4j Graph Database

Compared 14% of the time

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Compared 9% of the time

Cassandra vs Neo4j Graph Database

Compared 9% of the time

Couchbase Server vs Neo4j Graph Database

Compared 5% of the time

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Product Reports

Buyer's Guide

InfluxDB

April 2026

Download InfluxDB product report

Buyer's Guide

Neo4j Graph Database

April 2026

Download Neo4j Graph Database product report

Overview

InfluxDB offers efficient time series data handling with fast writes, optimized storage, and seamless Grafana integration, making it ideal for high-volume applications like crypto trading and real-time monitoring. Its SQL-like query language and cloud-based options enhance user experience and system scalability.

InfluxDB stands out with its ability to handle high-volume time series data efficiently, thanks to fast data writes and efficient compression. It is highly scalable, providing clustering features for improved performance management. Integration with Grafana enhances visualization, making it easier to analyze complex data through a user-friendly SQL-like query language. Real-time monitoring, historical data access, and proactive alerts enhance system reliability. Its cloud offering simplifies maintenance and operations, making it attractive for users seeking an efficient time series database.

What are the key features of InfluxDB?

Fast Data Writes: Ensures quick data handling necessary for real-time applications.
Optimized Storage: Reduces space requirements and improves performance.
Efficient Compression: Supports high-volume data like time series, enhancing throughput.
Grafana Integration: Supports seamless visualization and analysis of data.
SQL-like Query Language: Simplifies complex data operations with user-friendly queries.

What benefits or ROI can users expect?

Enhanced Performance: Fast processing and optimized storage for better application responsiveness.
Scalability: Clustering features ensure adaptability to growing data volumes.
Improved Reliability: Proactive alerts and real-time monitoring prevent system downtimes.
Ease of Use: SQL-like language and intuitive visuals improve user accessibility.

InfluxDB is applied extensively in industries handling high-volume data needs. For sensor data storage in production environments, it offers reliable performance. Its role in server management metrics and performance monitoring is crucial for maintaining optimal operations. In crypto market data collection, it supports fast-paced trading environments. Industries use it for real-time tracking, like maritime vessel monitoring, leveraging its rapid data handling and visualization capabilities. Its applications also extend to IoT environments, API performance tracking, HVAC systems, and log aggregation, often integrating with Prometheus, Docker, and AWS to enhance system capabilities.

InfluxData

Neo4j Graph Database enhances complex data relationship modeling with its intuitive Cypher query language. It facilitates data visualization, advanced searches, and efficient aggregation, offering impressive performance and scalability for diverse environments.

Neo4j Graph Database offers users a robust architecture that simplifies complex queries beyond traditional SQL databases. It integrates support for JSON, ensuring fast response times and effective management in DevOps settings. While users note its strengths in modeling data relationships and ease of setup, they suggest enhancements in beginner accessibility and Golang support. There's a call for more SQL-like querying tools and a need for community growth. Despite meeting current demands, ongoing improvements would ensure it continues to support future growth. Neo4j is widely used for relationship management, eligibility criteria, and microservices, competing with MongoDB and Elasticsearch in medium-sized applications without performance issues. Its global ranking makes it preferable over local options, aiding organizations in developing social media platforms and knowledge graphs through location and connection insights.

What are Neo4j's Key Features?

Cypher Query Language: Simplifies data queries and relationships
Data Visualization: Offers clear data insights
Performance and Scalability: Efficient response and growth handling
JSON Support: Facilitates data integration

What Benefits Does Neo4j Offer?

Effective Data Mapping: Improves data search and organization
Global Preference: Preferred for scalability and performance
DevOps Management: Streamlines data operations
Knowledge Graph Development: Enhances client insights and organization

In sectors such as social media and client information management, Neo4j shines by leveraging location and connection data for improved user engagement and insights. It supports the development of knowledge graphs, prominently used in large language models and microservices, delivering enhanced data structuring and accessibility.

Neo4j

Sample Customers

ebay, AXA, Mozilla, DiDi, LeTV, Siminars, Cognito, ProcessOut, Recommend, CATS, Smarsh, Row 44, Clustree, Bleemeo

Walmart, Telenor, Wazoku, Adidas, Cerved, GameSys, eBay, Schleich, ICIJ, die Bayerisch, Megree, InfoJobs, LinkedIn

Buyer's Guide

InfluxDB vs. Neo4j Graph Database

April 2026

Free Report: InfluxDB vs. Neo4j Graph Database

Find out what your peers are saying about InfluxDB vs. Neo4j Graph Database and other solutions. Updated: April 2026.

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