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 8.3, while Neo4j is ranked #8 with an average rating of 9.0. InfluxData holds a 5.2% mindshare in ND, compared to Neo4j’s 6.0% 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

5,305 Views
1,432 Comparison Views

100% willing to recommend

Neo4j Graph Database

Read 6 Neo4j Graph Database reviews

1,729 Views
1,522 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 (14th)

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 May 2026, in the NoSQL Databases category, the mindshare of InfluxDB is 5.2%, down from 9.7% compared to the previous year. The mindshare of Neo4j Graph Database is 6.0%, up from 4.9% 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	6.0%
Other	88.8%

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

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

"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."

"The solution is very powerful."

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

"This product has been working well and it is serving our purpose, so I can recommend it to others."

"As a time series database, it is very powerful and lightweight, and it can deal with heavy workloads very easily."

"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."

More InfluxDB pros

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

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

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

"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."

"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."

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

More Neo4j Graph Database pros

Cons

"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."

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

"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."

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

"InfluxDB can be improved in several ways. The Flux query language needs to be learned, but if there were something similar to SQL or previous options, it would be much easier for users without imposing a learning curve."

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

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

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

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."

"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."

"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."

Pricing and Cost Advice

"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."

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

"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%

University

Construction Company

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?

InfluxDB can be improved by addressing issues such as performance drops, queries being more difficult to understand, and its high memory usage. InfluxDB is not suitable for relational databases lik...

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What is your primary use case for InfluxDB?

My main use case for InfluxDB is storing a time series database and analyzing data changes over time. I use InfluxDB to store my infrastructure and application metrics, logs, events, and data, and ...

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What advice do you have for others considering InfluxDB?

I would advise others looking into using InfluxDB that if they want to store a time series database for monitoring, logging, and event-based tasks, and also want long-term retention of the database...

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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

Comparisons

SQLite vs InfluxDB

Compared 7% of the time

MongoDB Enterprise Advanced vs InfluxDB

Compared 7% of the time

PostgreSQL vs InfluxDB

Compared 7% of the time

ClickHouse vs InfluxDB

Compared 6% of the time

MySQL vs InfluxDB

Compared 6% of the time

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Microsoft Azure Cosmos DB vs Neo4j Graph Database

Compared 19% of the time

MongoDB Enterprise Advanced vs Neo4j Graph Database

Compared 14% of the time

DataStax Enterprise vs Neo4j Graph Database

Compared 9% of the time

Cassandra vs Neo4j Graph Database

Compared 9% of the time

CouchDB vs Neo4j Graph Database

Compared 4% of the time

More Neo4j Graph Database Competitors

Product Reports

Buyer's Guide

InfluxDB

May 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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