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: April 2026).

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InfluxDB vs. Redis

April 2026

Helped 893,221 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

5.6

InfluxDB enhances efficiency with real-time monitoring automation, reducing manual work and boosting system reliability and uptime.

Sentiment score

7.2

Redis enhances ROI by improving performance, reducing costs, increasing productivity, and ensuring reliable, scalable, and efficient service.

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

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.

Btece Lodi

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

It improved API latency from two seconds to 450 milliseconds for P99.

Senior Software Developer at NIT

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.

For more quotes and insights, download the Redis report

SDE 2 at Virtusa

Customer Service

Sentiment score

5.8

InfluxDB's customer service is efficient with enterprise licenses, yet response times vary; knowledgeable support aids complex issues.

Sentiment score

5.8

Redis is stable and reliable, with helpful support, strong documentation, and often minimal need for direct assistance.

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

Manas Kashyap

DevOps Engineer at Elevenxcapital

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

The documentation and community support for Redis are very strong, making troubleshooting quicker.

Senior Software Developer at NIT

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 is valued for scalability in handling large data volumes, with enterprise features supporting extensive scale despite variable costs.

Sentiment score

7.8

Redis excels in horizontal and vertical scaling, offering clustering, sharding, and compatibility with Azure and AWS for enterprise adaptability.

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

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

I scale Redis horizontally using clustering and sharding, where data is distributed across multiple nodes to handle higher traffic and larger data sets.

Senior Software Developer at NIT

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 generally stable, with some crash reports; praised support, but monitoring metrics is recommended for mission-critical use.

Sentiment score

7.8

Redis is stable, handles heavy loads, offers high availability, and uses persistence mechanisms, making it a trusted choice.

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 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 should enhance its query language, scalability, documentation, and integration while improving performance, security, and pricing flexibility.

Redis users face challenges with scalability, GUI, documentation, security, and seek enhancements in monitoring, analytics, and multi-tenancy features.

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

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

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

One issue is cache invalidation. Keeping cache data consistent with the source of truth can be tricky, especially in distributed systems.

For more quotes and insights, download the Redis report

Senior Software Developer at NIT

Setup Cost

InfluxDB provides cost-effective scalability for enterprises, but requires careful cost planning due to increasing subscription prices.

Redis pricing depends on memory, cluster size, and infrastructure, with higher costs than SQL due to RAM 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

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 costs are primarily driven by memory consumption and cluster size, since Redis operates in-memory.

Senior Software Developer at NIT

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 writes, real-time analytics, seamless integration, scalability, and ease of use, enhancing organizational decision-making.

Redis offers low latency, high throughput, and scalability with rich data structures, ideal for real-time applications and caching.

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

Real API latency improved from around two seconds to approximately 450 milliseconds for P99.

For more quotes and insights, download the Redis report

Senior Software Developer at NIT

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)

Redis

Ranking in NoSQL Databases

4th

Average Rating

8.8

Reviews Sentiment

5.9

Number of Reviews

Ranking in other categories

Managed NoSQL Databases (6th), In-Memory Data Store Services (1st), Vector Databases (4th), AI Software Development (13th)

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 Redis is 8.6%, up from 6.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
Redis	8.6%
InfluxDB	5.2%
Other	86.2%

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.

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Caching has accelerated complex workflows and delivers low latency for high-traffic microservices

Senior Software Developer at NIT

A few features of Redis that I use on a day-to-day basis and feel are among the best are extremely low latency and high throughput. Since Redis is in-memory, it makes it ideal for cases such as caching and rate limiting where response time is critical. TTL expiry support is very useful in Redis as it allows me to automatically evict stale data without manual cleanup, which is something I use heavily in my caching strategy. Another point I can mention is that the rich data structures such as strings, hashes, and even sorted sets are very powerful. I have used strings for caching responses and counters, whereas I have used hashes for storing structured objects. One more feature I can tell you about is atomic operations. Redis guarantees atomicity for operations such as incrementing a counter, which is very useful for rate limiting and avoiding race conditions in distributed systems. Finally, I want to emphasize that Redis is easy to scale and integrate, whether through clustering or using a distributed cache across microservices. Redis has impacted my organization positively by providing default support that is very useful. For metrics, in one of my core systems, introducing Redis as a distributed cache helped me achieve around an 80% cache hit rate, which reduced repeated downstream services. Real API latency also improved from around two seconds to approximately 450 milliseconds for P99. It also helped reduce the load on dependent services and databases, which improved overall system reliability.

Read full review

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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

24%

Computer Software Company

10%

Comms Service Provider

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	8

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	6
Large Enterprise	10

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...

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 ...

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...

What do you like most about Redis?

Redis is better tested and is used by large companies. I haven't found a direct alternative to what Redis offers. Plus, there are a lot of support and learning resources available, which help you u...

What needs improvement with Redis?

Overall, Redis is a powerful and reliable tool, but there are a few areas for improvement. One limitation is that Redis is memory-based, so scaling can become expensive compared to disk-based syste...

What is your primary use case for Redis?

My main use case for Redis is caching frequently accessed data to improve performance and reduce database load. For example, I cache API responses and user-related data so that repeated requests ca...

MongoDB Enterprise Advanced vs InfluxDB

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Product Reports

Download InfluxDB product report

InfluxDB

May 2026

Download Redis product report

April 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