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 19 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

6.7

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.

Read full review

Quotes from Members

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

Pros

"InfluxDB's best feature is that it's a cloud offering. Other good features include its time-series DB, fast time-bulk queries, and window operations."

"The most valuable features of InfluxDB are the documentation and performance, and the good plugins metrics in the ecosystem."

"The solution is very powerful."

"In our case, it started with a necessity to fill the gap that we had in monitoring. We had very reactive monitoring without trend analysis and without some advanced features. We were able to implement them by using a time series database. We are able to have all the data from applications, logs, and systems, and we can use a simple query language to correlate all the data and make things happen, especially with monitoring. We could more proactively monitor our systems and our players' trends."

"Because of reduced downtime, we benefit greatly from receiving alerts in advance."

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

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

"Overall, InfluxDB delivered excellent performance, stability, and simplicity for telemetry-driven use cases."

More InfluxDB pros

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

"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."

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

"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."

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

"Creates the ability to visualize outputs."

"As a graph database, I am surprised at their performance and response time."

More Neo4j Graph Database pros

Cons

"The solution's UI can be more user-friendly."

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

"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 error logging capability can be improved because the logs are not very informative."

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

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

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

"However, I cannot ignore the challenges I faced while configuring the database with my message brokers, whether Rabbit or Kafka, because the documentation is not properly provided."

More InfluxDB cons

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

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

"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."

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

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

"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."

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

Pricing and Cost Advice

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

"The tool is an open-source product."

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

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

"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."

"The tool is not expensive."

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Manufacturing Company

10%

Comms Service Provider

University

Financial Services Firm

15%

Construction Company

Computer Software Company

University

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...

See all answers

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

MySQL vs InfluxDB

Compared 6% of the time

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Compared 21% of the time

MongoDB Enterprise Advanced vs Neo4j Graph Database

Compared 15% of the time

DataStax Enterprise vs Neo4j Graph Database

Compared 9% of the time

Cassandra vs Neo4j Graph Database

Compared 8% of the time

MarkLogic 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

March 2026

Download Neo4j Graph Database product report

Overview

InfluxDB is open-source software that helps developers and enterprises alike to collect, store, process, and visualize time series data and to build next-generation applications. InfluxDB provides monitoring and insight on IoT, application, system, container, and infrastructure quickly and easily without complexities or compromises in scale, speed, or productivity.

InfluxDB has become a popular insight system for unified metrics and events enabling the most demanding SLAs. InfluxDB is used in just about every type of industry across a wide range of use cases, including network monitoring, IoT monitoring, industrial IoT, and infrastructure and application monitoring.

InfluxDB offers its users:

Infrastructure and application monitoring: Collect, process, and analyze real-time data from edge devices to help optimize distributed infrastructure.

IoT monitoring and analytics: InfluxDB is designed to store large volumes of time series data and quickly perform real-time analysis on that data. Gain insights from all the sensor data and use the collected data to create and perform automated tasks.

Network monitoring: Manage responsive and high-performing networks with widely distributed resources.

InfluxDB Benefits

There are several benefits to using InfluxDB . Some of the biggest advantages the solution offers include:

APIs and ready toolset: InfluxDB can be accessed via a set of powerful tools enabling users to get started quickly, with less programming required. This includes a REST API, extensive client libraries, a wide variety of open-source integrations, and Flux - a functional data scripting language for querying, analysis, and events. The InfluxDB API can be used to write data from edge devices to the InfluxDB instance

Time series engine: Get any data - events, logs, traces - from any edge device - systems, sensors, queues, databases, and networks. This data is stored in a powerful and high-performing engine capable of ingesting millions of data points per second.

Community: InfluxDB has a large community of cloud and open-source developers ready to assist users.

Ready-made templates: Use InfluxDB Templates, a set of tools with a packager and other ready monitoring solutions. These tools allow users to share their monitoring expertise with coworkers and other community members around the world. The Templates gallery offers available templates for some of the most popular tools and applications.

Enhanced UI: InfluxDB’s UI includes an explorer, dashboarding tools, and a script editor. Use it to easily browse the collected metric and event data and apply common transformations. The dashboarding tool comes with a variety of visualization options that help users view insights from the data. The script editor assists users to quickly master Flux with easily accessible examples, auto-completion, and real-time syntax checking.

Reviews from Real Users

InfluxDB stands out among its competitors for a number of reasons. Two major ones are its flexible integration options and its data aggregation feature.

Shalauddin Ahamad S., a software engineer at a tech services company, notes, “The most valuable features are aggregating the data and the integration with Grafana for monitoring.”

InfluxData

Neo4j is the graph database solution allowing the analysis of complex relationships and patterns in data, leading to better decision-making and improved business processes. The graph database offers easy data integration from multiple sources, providing a more comprehensive view.

The most valuable aspect of a graph database is its performance and response time, as it does not use the join function and only has nodes and raw data. Overall, Neo4j, as a global first-ranking solution, has helped organizations become more efficient and effective in data analysis and decision-making processes.

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

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