InfluxDB vs Microsoft Azure Cosmos DB comparison

InfluxData and Microsoft are both solutions in the NoSQL Databases category. InfluxData is ranked #5 with an average rating of 9.0, while Microsoft is ranked #2 with an average rating of 8.2. InfluxData holds a 6.9% mindshare in ND, compared to Microsoft’s 5.9% mindshare. Additionally, 100% of InfluxData users are willing to recommend the solution, compared to 95% of Microsoft users who would recommend it.

InfluxDB

Read 11 InfluxDB reviews

3,028 Views
1,514 Comparison Views

100% willing to recommend

Microsoft Azure Cosmos DB

Read 102 Microsoft Azure Cosmos DB reviews

7,050 Views
1,340 Comparison Views

95% willing to recommend

InfluxDB

Microsoft Azure Cosmos DB

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Executive SummaryUpdated on Jul 13, 2025

InfluxDB and Microsoft Azure Cosmos DB are prominent competitors in the database management space, with InfluxDB excelling in pricing and Cosmos DB being preferred for its advanced features.

Features: InfluxDB is notable for time-series data management and real-time analytics, ideal for monitoring systems and handling high write and query loads. Cosmos DB provides global distribution and multi-model capabilities, such as document, graph, and key-value storage, which cater to low latency and high availability needs for diverse applications.

Room for Improvement: InfluxDB could enhance its global distribution and focus on broader application support beyond time-series data. Increasing integration options with third-party tools would also benefit users. Cosmos DB might improve in areas like cost management for small-scale deployments, enhancing user interface simplicity, and expanding documentation to assist new users better.

Ease of Deployment and Customer Service: InfluxDB offers an easy deployment process suited to time-series applications with straightforward setup. Cosmos DB provides scalable deployments with comprehensive support options, including SLA-backed availability, catering well to complex distributed applications.

Pricing and ROI: InfluxDB is considered affordable, appealing to startups and small projects due to its strong ROI in time-series applications. Cosmos DB's pricing is higher but justified by its extensive feature set and robust SLAs, delivering ROI for large and distributed applications seeking those capabilities.

To learn more, read our detailed InfluxDB vs. Microsoft Azure Cosmos DB Report (Updated: September 2025).

Buyer's Guide

InfluxDB vs. Microsoft Azure Cosmos DB

September 2025

Download the complete report

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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

5th

Average Rating

8.2

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Non-Relational Databases (2nd), Open Source Databases (9th), Network Monitoring Software (23rd), IT Infrastructure Monitoring (26th)

Microsoft Azure Cosmos DB

Ranking in NoSQL Databases

2nd

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

102

Ranking in other categories

Database as a Service (DBaaS) (5th), Managed NoSQL Databases (1st), Vector Databases (1st)

Mindshare comparison

As of September 2025, in the NoSQL Databases category, the mindshare of InfluxDB is 6.9%, down from 12.3% compared to the previous year. The mindshare of Microsoft Azure Cosmos DB is 5.9%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Market Share Distribution
Product	Market Share (%)
Microsoft Azure Cosmos DB	5.9%
InfluxDB	6.9%
Other	87.2%

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.

Read full review

MichaelJohn

Director | Data & AI at a tech services company with 11-50 employees

Very efficient for application-facing scenarios

There are several areas for improvement. Firstly, having a local development emulator or simulator for Azure Cosmos DB would be beneficial. It would be very handy to have a Docker container that developers can use locally. Although, I know there is a free tier and so on and so forth, having a local environment would be nice. For example, SQL Server is very portable. You can even install it on your machine. That is the number one thing that is missing in Azure Cosmos DB. The second improvement area is the IDE of choice. That means how you interact with Azure Cosmos DB. For example, with SQL Server, you have SQL Server Management Studio. I know there is a little bit of support for Azure Cosmos DB in Azure Data Studio, but it is not heavily advertised or it does not feel like first-class citizen support. Developer experience or developer tooling is missing in terms of interacting with the database. Better developer tools or an IDE for interacting with Azure Cosmos DB would enhance the developer experience. Lastly, there is some mixed messaging about what Azure Cosmos DB is, given its multiple APIs. There are so many Azure Cosmos DB APIs available. There is NoSQL. There are MongoDB, Gremlin, and others. There is still some mixed messaging for others who are new to Azure Cosmos DB about what Azure Cosmos DB is. Is this like MongoDB, but then there is also MongoDB in Azure Cosmos DB? I know it well, and I know that the default one is just NoSQL, but others I have interacted with over the last ten years or so get confused.

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

"The solution is very powerful."

"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."

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

"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."

"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."

"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."

More InfluxDB pros

"The most valuable features for our organization with Azure Cosmos DB are multi-master capability for applications, automatic failover ensuring high availability, scalability, support for multiple data models, and low-latency access."

"Cosmos DB has helped our organization handle large amounts of data."

"The latency and availability of Microsoft Azure Cosmos DB are fantastic."

"The most valuable features of Microsoft Azure Cosmos DB include the TTL, the ability to scale up and down as needed, and geo-replication, which comes out of the box."

"We value the replication and regional availability features that Cosmos DB provides. The replication includes read replicas and write replicas. The recent addition of vectorization and similarity comparisons add values for AI workloads. The performance and scaling capabilities of Cosmos DB are excellent, allowing it to handle large workloads compared to other services such as Azure AI Search."

"Cosmos is a PaaS, so you don't need to worry about infrastructure and hosting. It has various APIs that allow it to integrate with other solutions. For example, we are using a MongoDB-compatible API for customers, which makes it easier for developers on the team who previously used MongoDB or are accustomed to the old document storage paradigm."

"The solution is easy to use, and it is also easy to integrate with several things for database use cases."

"I truly recommend Cosmos DB because it is a serverless product."

More Microsoft Azure Cosmos DB pros

Cons

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

"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."

"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."

"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."

"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."

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

More InfluxDB cons

"There are no particular factors that need improvement. There is a little bit of a learning curve with scaling workloads, but it works smoothly."

"One of the primary challenges with Cosmos DB as a non-relational data store is the careful data modeling required due to the lack of collection-level joins when using the SQL API."

"I am disappointed with the lack of compatibility of the Microsoft Azure Cosmos DB emulator with Mac."

"The biggest problem is the learning curve and other database services like RDS."

"I do not have any specific suggestions for improvements at the moment. However, having more AI capabilities in the future would be beneficial."

"For streaming platforms, Azure Cosmos DB could improve efficiency in data storage. Indexing can also be better. Enhanced capabilities are necessary to manage increased data amounts more effectively during searches."

"We are at the beginning of production, and everything is working very well. The price can always be lower, but currently, it's not a problem."

"There is room for improvement in Microsoft's maintenance aspect. For example, we had a major incident at the end of December where the entire South Central region was down for our application, causing many problems due to a lack of access to the database."

More Microsoft Azure Cosmos DB cons

Pricing and Cost Advice

"The tool is an open-source product."

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

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

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

"Azure is a pay as you go subscription."

"You need to understand exactly the details of how the pricing works technically to stay within reasonable pricing."

"It is expensive. The moment you have high availability options and they are mixed with the type of multitenant architecture you use, the pricing is on the higher end."

"Cost isn’t a big hurdle for us right now. The solution is not costly."

"The solution is a bit on the expensive side."

"Cosmos DB is expensive compared to any virtual machine based on conventional RDBMS like MySQL or PostgreSQL."

"For the cloud, we don't pay for the license, but for the on-prem versions, we do pay."

"Microsoft Azure Cosmos DB is moderately priced, where it is neither expensive nor cheap."

More Microsoft Azure Cosmos DB pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

11%

Computer Software Company

11%

Manufacturing Company

University

Legal Firm

13%

Comms Service Provider

10%

Financial Services Firm

10%

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	3
Large Enterprise	5

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	19
Large Enterprise	55

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 ...

See all answers

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...

See all answers

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...

See all answers

What do you like most about Microsoft Azure Cosmos DB?

The initial setup is simple and straightforward. You can set up a Cosmos DB in a day, even configuring things like availability zones around the world.

See all answers

What is your experience regarding pricing and costs for Microsoft Azure Cosmos DB?

The pricing for Microsoft Azure Cosmos DB is good, but there is a developer factor to consider. It could be economical or expensive depending on usage. Guidance about query consumption of Request U...

See all answers

What needs improvement with Microsoft Azure Cosmos DB?

In terms of improvement for Microsoft Azure Cosmos DB, while it eliminates the burden of managing database infrastructure, we realized it might not be possible to use various models simultaneously ...

See all answers

Comparisons

ClickHouse vs InfluxDB

Compared 25% of the time

MongoDB Enterprise Advanced vs InfluxDB

Compared 16% of the time

SQLite vs InfluxDB

Compared 6% of the time

PostgreSQL vs InfluxDB

Compared 6% of the time

Zabbix vs InfluxDB

Compared 2% of the time

More InfluxDB Competitors

Chroma vs Microsoft Azure Cosmos DB

Compared 11% of the time

Pinecone vs Microsoft Azure Cosmos DB

Compared 10% of the time

MongoDB Enterprise Advanced vs Microsoft Azure Cosmos DB

Compared 7% of the time

Amazon DynamoDB vs Microsoft Azure Cosmos DB

Compared 6% of the time

Neo4j Graph Database vs Microsoft Azure Cosmos DB

Compared 6% of the time

More Microsoft Azure Cosmos DB Competitors

Product Reports

Buyer's Guide

InfluxDB

September 2025

Download InfluxDB product report

Buyer's Guide

Microsoft Azure Cosmos DB

August 2025

Download Microsoft Azure Cosmos DB product report

Also Known As

No data available

Microsoft Azure DocumentDB, MS Azure Cosmos DB

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

Microsoft Azure Cosmos DB is a globally distributed, multi-model database service providing scalability, user-friendliness, and seamless integration, suitable for managing large volumes of structured and unstructured data across diverse applications.

Azure Cosmos DB is renowned for its scalability, stability, and ease of integration, offering robust support for multiple data models and APIs. Its capacity for handling unstructured data efficiently and providing real-time analytics makes it ideal for applications requiring high performance and global distribution. With features like automatic failover and integration with Microsoft products, users benefit from cost optimization and secure data handling. Enhancement opportunities include simplifying queries, improving documentation, and expanding backup and analytics functionalities.

What are the most important features of Microsoft Azure Cosmos DB?

Scalability and Autoscaling: Efficiently handles growing data and user demands.
Multi-Model Support: Adapts to different data models seamlessly.
Global Distribution: Provides low-latency access across multiple regions.
Automatic Failover: Ensures high availability and reliability.
Integration with Microsoft Products: Offers seamless connectivity with Azure services.

What benefits should users look for in Microsoft Azure Cosmos DB reviews?

Performance and Speed: Exceptionally fast processing for real-time data analytics.
Cost Optimization: Tools for managing expenses effectively.
Secure Data Handling: Implements strong data security measures.
Flexible Data Ingestion: Supports diverse data ingestion methods.

Azure Cosmos DB is frequently used in sectors like web, mobile, IoT, and analytics. It supports applications as a key-value store, processes real-time data, and enables global scalability with low-latency access. Its big data management capabilities and integration with Azure services enhance its utility across industries.

Microsoft

Sample Customers

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

TomTom, KPMG Australia, Bosch, ASOS, Mercedes Benz, NBA, Zero Friction, Nederlandse Spoorwegen, Kinectify

Buyer's Guide

InfluxDB vs. Microsoft Azure Cosmos DB

September 2025

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