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 8.9, while Neo4j is ranked #8 with an average rating of 9.0. InfluxData holds a 5.9% mindshare in ND, compared to Neo4j’s 6.2% mindshare. Additionally, 100% of InfluxData users are willing to recommend the solution, compared to 100% of Neo4j users who would recommend it.

InfluxDB

Read 17 InfluxDB reviews

3,182 Views
1,273 Comparison Views

100% willing to recommend

Neo4j Graph Database

Read 6 Neo4j Graph Database reviews

1,078 Views
938 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: December 2025).

Buyer's Guide

InfluxDB vs. Neo4j Graph Database

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

InfluxDB

Ranking in NoSQL Databases

6th

Average Rating

8.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Non-Relational Databases (2nd), Open Source Databases (8th), Network Monitoring Software (23rd), IT Infrastructure Monitoring (21st)

Neo4j Graph Database

Ranking in NoSQL Databases

8th

Average Rating

8.6

Reviews Sentiment

7.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2026, in the NoSQL Databases category, the mindshare of InfluxDB is 5.9%, down from 11.3% compared to the previous year. The mindshare of Neo4j Graph Database is 6.2%, up from 3.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Market Share Distribution
Product	Market Share (%)
InfluxDB	5.9%
Neo4j Graph Database	6.2%
Other	87.9%

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

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

"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."

"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."

"While I would rate InfluxDB a ten on a scale of one to ten, users should be thoughtful about matching the engine to their specific needs."

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

"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."

"Based on InfluxDB, we have great analytics produced by our SRE team, and with that, we have an alerting and monitoring system in place."

"My advice for others looking into using InfluxDB is to use it the same way I did, because it is really stable, easy and friendly to use, and it is a great product overall."

More InfluxDB pros

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

"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."

"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."

"Creates the ability to visualize outputs."

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

Cons

"I haven't seen a return on investment; unfortunately, I cannot share relevant metrics such as time saved, fewer employees needed, or money saved."

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

"It is challenging to get long-running backups while running InfluxDB in a Microsoft Azure Kubernetes cluster."

"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 interface of InfluxDB is so complex and should be made easier for non-technical people."

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

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

More InfluxDB cons

"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."

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

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

"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."

Pricing and Cost Advice

"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."

"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

Manufacturing Company

11%

Financial Services Firm

University

Computer Software Company

Financial Services Firm

17%

Computer Software Company

10%

Energy/Utilities Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	3
Large Enterprise	8

No data available

Questions from the Community

What do you like most about InfluxDB?

InfluxDB is a database where you can insert data. However, it would be best if you had different components for alerting, data sending, and visualization. You need to install tools to collect data ...

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What needs improvement with InfluxDB?

Although I didn't encounter any significant challenges, I think that if there was a NoSQL version of InfluxDB, that would also help because I have used the SQL version. I wish InfluxDB were also av...

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What is your primary use case for InfluxDB?

My main use case for InfluxDB involved working on a LEO satellite KPI monitoring application, where I gathered latency, throughput, packet loss, jitter, and various types of network data for severa...

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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...

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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

Comparisons

ClickHouse vs InfluxDB

Compared 17% of the time

MongoDB Enterprise Advanced vs InfluxDB

Compared 11% of the time

SQLite vs InfluxDB

Compared 9% of the time

PostgreSQL vs InfluxDB

Compared 7% of the time

MySQL vs InfluxDB

Compared 5% of the time

More InfluxDB Competitors

Microsoft Azure Cosmos DB vs Neo4j Graph Database

Compared 26% of the time

MongoDB Enterprise Advanced vs Neo4j Graph Database

Compared 16% of the time

Cassandra vs Neo4j Graph Database

Compared 9% of the time

SQL Server vs Neo4j Graph Database

Compared 8% of the time

Apache HBase vs Neo4j Graph Database

Compared 4% of the time

More Neo4j Graph Database Competitors

Product Reports

Buyer's Guide

InfluxDB

January 2026

Download InfluxDB product report

Buyer's Guide

Neo4j Graph Database

January 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

December 2025

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