InfluxDB vs Redis comparison

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InfluxDB

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Executive SummaryUpdated on Mar 15, 2026

InfluxDB and Redis both compete in the time-series data management and caching categories. InfluxDB's rich features and integration capabilities appear to give it an edge in handling complex data scenarios.

Features: InfluxDB offers a robust set of features ideal for handling time-series data, a powerful query language similar to SQL, and integration with Grafana, real-time alerting, and high performance under heavy workloads. Redis is valued for its simplicity, speed, and efficiency as an in-memory data store supporting various data structures, making it a preferred solution for caching and real-time data retrieval.

Room for Improvement: InfluxDB could improve its integration, query language, documentation, high availability, clustering, and support for high-cardinality data. Redis needs better cluster management, enhanced security tools, and greater documentation, with user demands for a GUI and dynamic data handling enhancements.

Ease of Deployment and Customer Service: InfluxDB is available across various cloud and on-premises environments, offering deployment flexibility with generally positive customer service. Redis functions well in cloud and hybrid settings but lacks extensive documentation and relies on community resources for customer support.

Pricing and ROI: InfluxDB offers an open-source solution, with rising costs in cloud environments, delivering ROI through efficiency and reduced downtime. Redis is open-source and cost-effective but may incur higher infrastructure costs due to memory requirements, with ROI found in performance benefits for real-time processing.

To learn more, read our detailed InfluxDB vs. Redis Report (Updated: June 2026).

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InfluxDB vs. Redis

June 2026

Helped 908,800 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:

ROI

Sentiment score

5.8

Companies experienced enhanced operational efficiency and increased customer satisfaction with InfluxDB through real-time monitoring and automation.

Sentiment score

7.3

Redis boosts performance and reduces costs, enhancing API latency and productivity while allowing focus on feature development.

These improvements translated into both cost savings and better service reliability, directly impacting business outcomes.

Senior Data Engineer at a university with 201-500 employees

It simplifies processes and reduces the need for additional employees.

For more quotes and insights, download the InfluxDB report

Team Lead, Software at Energybox

It has reduced a lot of time in terms of troubleshooting because the way it produces the data on a time-series basis allows me to collect and store the data for future reference.

Gaurav Dangaich

Sdet Performance Engineer at a tech vendor with 10,001+ employees

We reduced the database read load by around 30 to 40 percent and improved API response time by 20 to 30 percent, specifically for frequently accessed endpoints.

SDE 2 at Virtusa

We have seen a positive return on investment from using Redis, mainly through improved application performance, reduced database load, and lower operational overhead.

For more quotes and insights, download the Redis report

Senior Software Engineer at a consultancy with 1-10 employees

Customer Service

Sentiment score

5.8

InfluxDB customer support is praised for enterprise-level help but needs faster response times and more complex deployment support.

Sentiment score

6.4

Redis users rarely need support due to stability, relying on documentation and community, with mixed experiences reported.

They get on a call, resolve issues, and handle everything efficiently.

Manas Kashyap

Senior Dev Ops Engineer at 11 East Capital

The InfluxDB support team was knowledgeable and helped us troubleshoot complex problems efficiently.

Senior Data Engineer at a university with 201-500 employees

Obtaining that quantity of data directly from InfluxDB is quite challenging, and that is why we ask for help from the InfluxDB team to retrieve the data to avoid timeouts and those kinds of issues.

For more quotes and insights, download the InfluxDB report

Team Lead, Software at Energybox

By simply referring to their documentation, we have been able to fix our bugs and general issues.

Senior Software Engineer at a consultancy with 1-10 employees

Since Redis is quite stable and well-documented, we have not needed much support, but when required, the response has been helpful.

For more quotes and insights, download the Redis report

SDE 2 at Virtusa

Scalability Issues

Sentiment score

7.0

InfluxDB scales efficiently in enterprises, supports large data volumes, and integrates well, though backup stability varies by deployment.

Sentiment score

7.8

Redis excels in scalability and efficiency, handling high traffic with clustering and sharding, benefiting enterprise application demands.

The main challenge with InfluxDB, which is common with all databases, was handling very high throughput systems and high throughput message flow.

Sayak Roy

Deployment Engineer at Derq

It can handle large volumes of time-series data and with high ingestion rates, making it suitable for enterprise-scale deployments.

Senior Data Engineer at a university with 201-500 employees

We’ve scaled on volume with seven years of continuous data without performance degradation.

For more quotes and insights, download the InfluxDB report

Senior System Developer at Norled

The in-memory architecture provides consistently low-latency access even as data access patterns and request volume increase.

Senior Software Engineer at a consultancy with 1-10 employees

Data migration and changes to application-side configurations are challenging due to the lack of automatic migration tools in a non-clustered legacy system.

Data Engineer at a photography company with 1,001-5,000 employees

With features such as clustering and replication, it can handle high traffic and a large database very effectively.

For more quotes and insights, download the Redis report

SDE 2 at Virtusa

Stability Issues

Sentiment score

8.0

InfluxDB is reliable, stable, and supported, with minor issues resolved by integrations and support, except in Azure China.

Sentiment score

7.9

Redis is lauded for its stability, reliable caching performance, and robust architecture, supported by strong community and managed services.

It serves as the backbone of our application, and its stability is crucial.

Senior System Developer at Norled

We have used it to support mission-critical systems with continuous data ingestion and real-time analytics.

For more quotes and insights, download the InfluxDB report

Senior Data Engineer at a university with 201-500 employees

It is very stable, with no reliability or downtime in InfluxDB.

Btece Lodi

Student at a educational organization with 1,001-5,000 employees

Redis has consistently provided fast and predictable performance, particularly for caching and high-frequency data access scenarios.

Senior Software Engineer at a consultancy with 1-10 employees

Redis is fairly stable.

For more quotes and insights, download the Redis report

Data Engineer at a photography company with 1,001-5,000 employees

Room For Improvement

InfluxDB requires improvements in query language, UI, pricing, documentation, scalability, cloud integration, and support for non-technical users.

Redis users seek improvements in cache management, user interface, observability, scalability, security setup, and cloud integrations for enhanced usability.

InfluxDB deprecated FluxQL, which was intuitive since developers are already familiar with standard querying.

Milan Predic

Chief Technology Officer at Presta Agency

Having a SQL abstraction in InfluxDB could be beneficial, making it more accessible for teams that prefer querying with SQL-style syntax.

For more quotes and insights, download the InfluxDB report

Senior System Developer at Norled

It could include automated backup and a monitoring solution for InfluxDB or a script developed by a REST API.

reviewer2778060

Network engineer at a energy/utilities company with 10,001+ employees

Making security features and enterprise governance capabilities easier to configure out of the box would help organizations adopt Redis more confidently for larger and more critical workloads.

Senior Software Engineer at a consultancy with 1-10 employees

Data persistence and recovery face issues with compatibility across major versions, making upgrades possible but downgrades not active.

For more quotes and insights, download the Redis report

Data Engineer at a photography company with 1,001-5,000 employees

Redis itself does not enforce consistency with the primary database, so developers need to carefully design cache invalidation strategies.

Ravi Raushan Kumar

Software Engineer at ValueMomentum

Setup Cost

InfluxDB's pricing shift to a monthly model prompts enterprises to consider open-source options for cost-effective scalability and flexibility.

Enterprise Redis costs vary by deployment model, with self-managed being cost-effective and cloud services charging for memory usage.

We use the open-source version of InfluxDB, so it is free.

Senior System Developer at Norled

I find the cloud version pricing of InfluxDB reasonable, and for the on-premises solution we use in our service, we need to purchase licenses.

Team Lead, Software at Energybox

Pricing is based on data volume, retention, and features, which really makes it scalable but requires careful planning to avoid unexpected costs.

For more quotes and insights, download the InfluxDB report

Senior Data Engineer at a university with 201-500 employees

The main value comes from the performance improvements, reduced database load, and increased scalability that Redis provides.

Senior Software Engineer at a consultancy with 1-10 employees

Since we use an open-source version of Redis, we do not experience any setup costs or licensing expenses.

Data Engineer at a photography company with 1,001-5,000 employees

The pricing is reasonable for the performance provided.

For more quotes and insights, download the Redis report

SDE 2 at Virtusa

Valuable Features

InfluxDB excels in fast data writes, analytics, and integration, enhancing efficiency and visualization with robust community support.

Redis is preferred for speed and reliability, offering low latency, high throughput, and efficient scaling with minimal configuration.

The most important feature for us is low latency, which is crucial in building a high-performance engine for day trading.

Milan Predic

Chief Technology Officer at Presta Agency

InfluxDB’s core functionality is crucial as it allows us to store our data and execute queries with excellent response times.

For more quotes and insights, download the InfluxDB report

Senior System Developer at Norled

It helps me maintain my solution easily because it is very reliable, so we didn't face any performance issues or crashes regarding our queries; we can get the results very fast.

reviewer2761710

Solutions Engineer at a tech vendor with 51-200 employees

It functions similarly to a foundational building block in a larger system, enabling native integration and high functionality in core data processes.

Data Engineer at a photography company with 1,001-5,000 employees

First is its in-memory preference, as Redis is extremely fast, making it ideal for caching and session management where low latency is critical.

Ravi Raushan Kumar

Software Engineer at ValueMomentum

By offloading frequent reads from the database and enabling fast in-memory cache access, it reduced latency, improved throughput, and helped maintain stability during peak loads.

For more quotes and insights, download the Redis report

SDE 2 at Virtusa

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 (6th), Network Monitoring Software (14th), IT Infrastructure Monitoring (12th)

Redis

Ranking in NoSQL Databases

3rd

Average Rating

8.8

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Managed NoSQL Databases (5th), In-Memory Data Store Services (1st), Vector Databases (3rd), AI Software Development (9th)

Mindshare comparison

As of August 2026, in the NoSQL Databases category, the mindshare of InfluxDB is 5.2%, down from 7.6% compared to the previous year. The mindshare of Redis is 8.3%, down from 9.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
Redis	8.3%
InfluxDB	5.2%
Other	86.5%

NoSQL Databases

Featured Reviews

Time series data has been managed efficiently for IoT sensors but reporting still needs improvement

Team Lead, Software at Energybox

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.

Read full review

Caching has improved response times and reduces database load for high-traffic applications

SDE 2 at Virtusa

Redis is very reliable, but it could be improved in areas such as monitoring, debugging, and feasibility into memory use. Better built-in tools for observability would help teams manage it more effectively at scale. Managing memory efficiently and troubleshooting issues can sometimes require additional tooling, so these areas can also be improved.One practical challenge I experienced is managing memory efficiently. Since Redis is in-memory, we need to carefully configure eviction policies and monitor usage. Debugging cache-related issues such as stale data or cache invalidation can sometimes be tricky. Additionally, tuning memory usage and eviction policies needs to be planned very carefully.

Read full review

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Top Industries

By visitors reading reviews

Financial Services Firm

11%

Comms Service Provider

10%

Manufacturing Company

Construction Company

Financial Services Firm

23%

Computer Software Company

Comms Service Provider

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	5
Large Enterprise	9

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	6
Large Enterprise	10

Questions from the Community

What needs improvement with InfluxDB?

If the dashboarding facility can be improved in terms of the visualization parameters and the amount of support available from the community, as well as having smarter alerts to send those alerts t...

What is your primary use case for InfluxDB?

My main use case for InfluxDB is to inject all my performance data and visualize it as a data source into Grafana. My data comes from JMeter from a plugin, which is inserting data to InfluxDB, and ...

What advice do you have for others considering InfluxDB?

It is good to start with InfluxDB to stabilize your data, visualize your data, and have the data stored on a time-series basis. I would recommend everyone to get into InfluxDB and start using it. T...

What needs improvement with Redis?

Making management easier, especially for teams operating large Redis clusters, would be helpful. More advanced built-in observability, performance insights, and automated recommendations would help...

What is your primary use case for Redis?

Redis is used primarily as a caching layer to provide a high-performance caching solution that improves application response times and reduces load on backend services and databases. We use it main...

What advice do you have for others considering Redis?

There are a couple of things to consider when using Redis. It is a supporting layer, not a main database. Identifying specific use cases where Redis can provide the most value, such as caching, ses...

MongoDB Enterprise Advanced vs InfluxDB

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Product Reports

Download InfluxDB product report

InfluxDB

July 2026

Download Redis product report

July 2026

Also Known As

No data available

Redis Enterprise

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

Redis offers high-speed, in-memory storage, renowned for real-time performance. It supports quick data retrieval and is used commonly in applications like analytics and gaming.

Renowned for real-time performance, Redis delivers high-speed in-memory storage, making it a favorite for applications needing quick data retrieval. Its diverse data structures and caching capabilities support a broad array of use cases, including analytics and gaming. Redis ensures robust scalability with master-slave replication and clustering, while its publish/subscribe pattern renders it reliable for event-driven applications. The solution integrates smoothly with existing systems, minimizing performance tuning needs. Although documentation on scalability and security could be improved, Redis remains cost-effective and stable, commonly utilized in cloud environments. Enhancing integration with cloud services like AWS and Google Cloud and refining GUI may improve usability.

What are the key features of Redis?

High Speed: In-memory data storage for swift access.
Scalability: Master-slave replication and clustering for growth.
Data Structures: Supports diverse types for varied uses.
Persistence: RDB snapshots and AOF logs ensure durability.
Integration: Seamless integration reduces tuning efforts.

What should users look for in Redis reviews?

Performance: Real-time data retrieval boosts efficiency.
Cost-Effectiveness: Stable, budget-friendly implementation.
Versatility: Suitable for diverse environments and platforms.
Reliability: Ensures data persistence and high availability.

Redis finds application across industries for tasks like caching to improve application performance and speed, minimizing database load. It enables real-time processing for session storage, push notifications, and analytics. As a messaging platform, Redis handles high traffic and supports replication and clustering for cross-platform scalability.

Sample Customers

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

1. Twitter 2. GitHub 3. StackOverflow 4. Pinterest 5. Snapchat 6. Craigslist 7. Digg 8. Weibo 9. Airbnb 10. Uber 11. Slack 12. Trello 13. Shopify 14. Coursera 15. Medium 16. Twitch 17. Foursquare 18. Meetup 19. Kickstarter 20. Docker 21. Heroku 22. Bitbucket 23. Groupon 24. Flipboard 25. SoundCloud 26. BuzzFeed 27. Disqus 28. The New York Times 29. Walmart 30. Nike 31. Sony 32. Philips