InfluxDB vs MongoDB comparison

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InfluxDB

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Executive SummaryUpdated on Apr 20, 2025

MongoDB and InfluxDB are prominent players in the database sector, focusing on flexibility and time-series data, respectively. MongoDB has a slight advantage due to its developer-friendly nature and ease of use for various data applications.

Features: MongoDB offers a flexible schema, strong integration capabilities, and robust JSON features. It handles large-scale, semi-structured data efficiently and is open-source, making it appealing to many organizations. InfluxDB is excellent for managing time-series data, integrates well with Grafana, and is highly efficient under heavy workloads, making it ideal for advanced aggregation and time-bulk querying.

Room for Improvement: MongoDB needs to enhance its security and integration features for enterprise levels, provide better documentation, and improve complex transaction support. InfluxDB users desire better metrics, cloud integration, and documentation clarity. Both solutions could benefit from improved user interfaces and indexing features.

Ease of Deployment and Customer Service: MongoDB supports both on-premises and cloud deployments, backed by substantial community support. Technical support levels vary with subscription tiers, with enterprise users receiving more responsive assistance. InfluxDB provides strong technical support and robust community backing, though its integration in hybrid cloud settings could be better.

Pricing and ROI: MongoDB's open-source community edition is free, but enterprise features require subscriptions that some find costly. Despite this, it offers good ROI in performance-focused applications. InfluxDB charges for scaling, and recent price increases have concerned users, though its high performance is valued. Both provide good value, yet pricing and ROI perceptions depend on enterprise specifics and deployment scales.

To learn more, read our detailed InfluxDB vs. MongoDB Report (Updated: July 2025).

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InfluxDB vs. MongoDB

July 2025

Helped 861,390 peers since 2012

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 Open Source Databases

9th

Ranking in NoSQL Databases

3rd

Average Rating

8.2

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Non-Relational Databases (2nd), Network Monitoring Software (23rd), IT Infrastructure Monitoring (24th)

MongoDB

Ranking in Open Source Databases

5th

Ranking in NoSQL Databases

1st

Average Rating

8.2

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Managed NoSQL Databases (8th)

Mindshare comparison

As of July 2025, in the NoSQL Databases category, the mindshare of InfluxDB is 7.8%, down from 12.7% compared to the previous year. The mindshare of MongoDB is 14.7%, down from 25.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases

Featured Reviews

DeepakR

Site Reliability Engineer(Observability) at Sapiens

An open-source database that can be used to insert data

InfluxDB is generally stable, but we've encountered issues with the configuration file in our ticket stack. For instance, a mistake in one of the metrics out of a hundred KPIs can disrupt data collection for all KPIs. This happens because the agent stops working if there's an issue with any configuration part. To address this, it is essential to ensure that all configurations are part of the agent's EXE file when provided. This makes it easier to package the agent for server installation and ensures all KPIs are available from the server. Additionally, the agent cannot encrypt and decrypt passwords for authentication, which can be problematic when monitoring URLs or requiring authentication tokens. This requires additional scripting and can prolong service restart times.

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Uzair Faruqi

Head Of Analytics at a computer software company with 501-1,000 employees

Transforms data flow with adaptable schema and smooth public cloud deployment

One of our business units uses MongoDB, and we developed an ETL pipeline that extracts data from MongoDB and transfers it into our data warehouse MongoDB is a NoSQL database that is similar to a document database. It offers flexibility in schema adaptation, allowing us to change the schema and…

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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

"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 from servers. It must be installed on Windows or Linux servers. During installation, ensure that the configuration file is correct to prevent issues. Once data is collected, it can be sent to InfluxDB. For visualization, you can use open-source tools like Grafana."

"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."

"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."

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

"The solution is very powerful."

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

"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 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."

More InfluxDB pros

"The most valuable features of MongoDB are the variety of translations available and the ability to deploy it on the cloud is useful. The cloud users can access the data, work on the data, and if they want to import or manipulate some data they can."

"It facilitates the generation of heatmaps for graphical data analysis."

"The most valuable feature is the geometric information done with GeoJSON."

"I think that MongoDB isn't too structured, and that's good for our technical team because they are able to search through the database better than if they are using SQL Server."

"MongoDB is relatively fast compared to relational databases."

"I like that MongoDB has a free version. You can also buy the enterprise edition, which is cheaper than Oracle."

"We decided to work with MongoDB as its interface is easier to understand and more universal."

"One of the most valuable features of MongoDB is it is Its open source."

More MongoDB pros

Cons

"One area for improvement is the querying language. InfluxDB deprecated FluxQL, which was intuitive since developers are already familiar with standard querying."

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

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

"InfluxDB can improve by including new metrics on other technologies. They had some changes recently to pool data from endpoints but the functionality is not good enough in the industry."

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

"InfluxDB is generally stable, but we've encountered issues with the configuration file in our ticket stack. For instance, a mistake in one of the metrics out of a hundred KPIs can disrupt data collection for all KPIs. This happens because the agent stops working if there's an issue with any configuration part. To address this, it is essential to ensure that all configurations are part of the agent's EXE file when provided. This makes it easier to package the agent for server installation and ensures all KPIs are available from the server. Additionally, the agent cannot encrypt and decrypt passwords for authentication, which can be problematic when monitoring URLs or requiring authentication tokens. This requires additional scripting and can prolong service restart times."

"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."

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

More InfluxDB cons

"The transaction could use improvement. From MySQL, for example, you cannot create a transaction if you are reading and writing a document at the same time."

"A normal Oracle or database tester will take some time to gear up to MongoDB because the way of writing queries is different in MongoDB. There should be some kind of midway where a person who is coming from an Oracle background can write a query and get a response by using something like a select * statement or other such things. There should be some way for MongoDB to interpret these commands rather than making a person learn MongoDB commands and writing them. I struggled while writing these MongoDB commands. I had not seen such queries before. It was pretty difficult to get them. This is one of the areas where it would help from the improvement standpoint."

"The analytics needs improvement."

"There should be better integration with other databases."

"I think that MongoDB's search engine should be improved."

"The free tools, like MongoDB Compass, could be enhanced."

"There can be stability issues."

"MongoDB should be more stable, and support should be more efficient."

More MongoDB cons

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."

"At the moment, all customers are using the community version."

"I only used the open-source version."

"I don't know, but I have heard from people who procure it that it is much cheaper than Oracle."

"I believe that the licensing fees are paid on a yearly basis."

"MongoDB is a bit expensive compared to its competitors."

"There is an enterprise license and it could be cheaper. We are using the free open source version."

"There are different licenses available to be purchased, such as individual, premium, or enterprise."

"Our customers pay for yearly licenses for MongoDB."

More MongoDB pricing and cost advice

See which vendors are best for you

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

12%

Manufacturing Company

Comms Service Provider

Financial Services Firm

17%

Computer Software Company

13%

Manufacturing Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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 ...

What needs improvement with InfluxDB?

It is challenging to get long-running backups while running InfluxDB in a Microsoft Azure Kubernetes cluster. Replicating data for on-prem development and testing is difficult. Having a SQL abstrac...

What is your primary use case for InfluxDB?

InfluxDB is the main component in our large enterprise-scale streaming data application for maritime vessels. We collect position data from vessels around the coast once per second, put it on a Kaf...

What do you like most about MongoDB?

MongoDB's approach to handling data in documents rather than traditional tables has been particularly beneficial.

What is your experience regarding pricing and costs for MongoDB?

We use the free version of MongoDB, so there are no licensing costs.

What needs improvement with MongoDB?

There is room for improvement in integrating MongoDB with agentive AI solutions. While solutions for other databases like SQL or PostgreSQL ( /products/postgresql-reviews ) already exist, MongoDB r...

More InfluxDB Competitors

Comparisons

ClickHouse vs InfluxDB

Compared 25% of the time

PostgreSQL vs InfluxDB

Compared 6% of the time

ScyllaDB vs InfluxDB

Compared 6% of the time

SQLite vs InfluxDB

Compared 5% of the time

Cassandra vs InfluxDB

Compared 5% of the time

Couchbase vs MongoDB

Compared 10% of the time

Cassandra vs MongoDB

Compared 8% of the time

Milvus vs MongoDB

Compared 8% of the time

Qdrant vs MongoDB

Compared 5% of the time

MongoDB Atlas vs MongoDB

Compared 5% of the time

More MongoDB Competitors

Product Reports

Download InfluxDB product report

InfluxDB

June 2025

Download MongoDB product report

June 2025

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

MongoDB is a flexible and scalable NoSQL database solution that efficiently handles both structured and unstructured data. It is known for its ease of use, JSON capabilities, and efficient data handling, making it ideal for developer-friendly environments.

MongoDB stands out with features like sharding, geospatial indexing, and its open-source nature. Users find it fast and appreciate its seamless integration into different applications. Despite being powerful, it remains straightforward to set up and use, bolstered by a clustering and aggregation framework that enhances its functionality. While generally appreciated for its cost-effectiveness and broad application compatibility, there is room for improvement in security, enterprise integration, and the creation of more robust training and documentation resources. Enhancing performance and adding support for traditional relational database concepts could also prove beneficial.

What are MongoDB's most important features?

Scalability: Efficiently manages growing data volumes.
Flexibility: Supports structured and unstructured data with ease.
Sharding: Distributes data across multiple servers.
Geospatial Indexing: Enables location-based data handling.
Open-source: Wide community support and customization.

What benefits or ROI should users look for?

Cost-effectiveness: Reduces overall database management expenses.
Ease of Use: Simplifies database setup and maintenance.
Developer-friendly: Accelerates application development with supportive tools.
Scalable Solutions: Adapts to evolving business requirements.

MongoDB finds widespread application across industries like healthcare, logistics, and telecommunications. It efficiently powers IoT platforms, data analytics, and document management systems. Its schema flexibility and JSON storage capabilities make it ideal for real-time processing and multi-server databases, essential for handling large-scale data volumes in modern applications.

Sample Customers

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

Facebook, MetLife, City of Chicago, Expedia, eBay, Google