Cassandra vs InfluxDB comparison

Apache and InfluxData are both solutions in the NoSQL Databases category. Apache is ranked #5 with an average rating of 8.6, while InfluxData is ranked #6 with an average rating of 8.2. Apache holds a 8.2% mindshare in ND, compared to InfluxData’s 5.2% mindshare. Additionally, 92% of Apache users are willing to recommend the solution, compared to 100% of InfluxData users who would recommend it.

Cassandra

Read 25 Cassandra reviews

4,616 Views
2,862 Comparison Views

92% willing to recommend

InfluxDB

Read 20 InfluxDB reviews

7,127 Views
1,639 Comparison Views

100% willing to recommend

Cassandra

InfluxDB

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 7, 2025

Cassandra and InfluxDB are competing database management products. InfluxDB seems to have the upper hand due to its specialized feature set for time-series applications.

Features: Cassandra handles large data volumes with high availability and scalability across multiple nodes, supports counter features and NoSQL schema, and offers zero-copy streaming. InfluxDB excels in time-series data storage, offers real-time analytics and down-sampling, and integrates with external tools efficiently.

Room for Improvement: Cassandra could improve its user interface, ease-of-use for beginners, and support for complex queries. It might also benefit from enhanced documentation and better integration for specific workloads. InfluxDB may enhance scalability options, optimize resource usage, and expand native integrations with third-party platforms. Improving user community engagement and support might also benefit InfluxDB users.

Ease of Deployment and Customer Service: Cassandra benefits from widespread integration support and extensive community resources but requires significant expertise to manage. InfluxDB offers a streamlined deployment process, especially for time-series data, with targeted support enhancing user experience. This focus makes InfluxDB's integration process more straightforward for specific workloads compared to Cassandra.

Pricing and ROI: Cassandra incurs higher setup costs due to extensive infrastructure requirements but justifies them with scalability and robustness. InfluxDB presents a more favorable ROI for time-series data, offering cost-effective scalability and performance benefits tailored to this niche. Organizations focused on time-sensitive data might find InfluxDB more financially appealing for their specific needs.

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

Buyer's Guide

Cassandra vs. InfluxDB

August 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

Cassandra

Ranking in NoSQL Databases

5th

Average Rating

8.0

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

Vector Databases (12th)

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)

Mindshare comparison

As of August 2026, in the NoSQL Databases category, the mindshare of Cassandra is 8.2%, down from 9.7% compared to the previous year. The mindshare of InfluxDB is 5.2%, down from 7.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
Cassandra	8.2%
InfluxDB	5.2%
Other	86.6%

NoSQL Databases

Featured Reviews

Monirul Islam Khan

Head, Data Integration & Management at a non-profit with 10,001+ employees

Has maintained secure document storage and efficient data distribution with peer-to-peer architecture

The functions or features in Cassandra that I have found most valuable are that it is a distributed system similar to Mongo. It's good enough for comparison with another SQL database, so it's smooth and organized for distributed database system. The peer-to-peer architecture in Cassandra is helpful for network decentralization, and I have already introduced that feature. Cassandra features in peer-to-peer as well as another monitoring, so basically, it's good enough for our service. The tunable consistency level in Cassandra is good, and we are using that feature already. In terms of built-in caching and lightweight transactions in Cassandra, the transaction level is good, and it's optimized, so there are no more issues in that database. Based on my experience, Cassandra is good for document management system, as well as distributed database system, and the automatic recovery process is there. Additionally, the database monitoring system or auditing system is well-comparable with other database systems, so we are actually happy to be using this Cassandra database.

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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.

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

"A consistent solution."

"Can achieve continuous data without a single downtime because of node to node ring architecture."

"It's used as our cloud based backend store as a temporary cache and for storing data that streams through our data pipe."

"The most valuable features of Cassandra are its scaling capabilities and its non-SQL nature capabilities."

"The use of Cassandra in real-time data analytics has been pivotal for our e-commerce platform. As our platform operates 24/7, providing services to sellers and customers alike, the need for real-time updates is paramount."

"The most valuable features are the counter features and the NoSQL schema, and it also has good scalability because you can scale Cassandra to any infinite level."

"Our primary use case for the solution is testing."

"Its retrieval is similar to an RDBMS, so our team finds it easy to adapt."

More Cassandra pros

"The platform operates very quickly. It is easy to configure, connect, and query and integrates seamlessly with 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."

"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."

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

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

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

"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."

"The solution is very powerful."

More InfluxDB pros

Cons

"Row-level locking is not available; might be very helpful in update use cases."

"The solution is limited to a linear performance."

"Fine-tuning was a bit of a challenge."

"We found some issues with the batch inserts when the data volume is large."

"The disc space is lacking. You need to free it up as you are working."

"Some issues arise from our vendors like Apache slowness and distribution or load balancing from HAProxy, which should better handle consumption for high-level concurrency."

"We experience configuration issues when accommodating the volumes we require, which often necessitates consultation with the Cassandra development team."

"The secondary index in Cassandra was a bit problematic and could be improved."

More Cassandra cons

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

"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."

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

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

"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."

"Sometimes, when we write too much data within a minute, the data count becomes excessive, reaching perhaps 100,000 or 500,000 data points, and InfluxDB gives a timeout exception, which we must handle in our application."

"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."

More InfluxDB cons

Pricing and Cost Advice

"There are licensing fees that must be paid, but I'm not sure if they are paid monthly or yearly."

"I use the tool's open-source version."

"We pay for a license."

"Cassandra is a free open source solution, but there is a commercial version available called DataStax Enterprise."

"I don't have the specific numbers on pricing, but it was fairly priced."

"We are using the open-source version of Cassandra, the solution is free."

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

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

"The tool is an open-source product."

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Comms Service Provider

Construction Company

Outsourcing Company

Financial Services Firm

11%

Comms Service Provider

10%

Manufacturing Company

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	2
Large Enterprise	14

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

Questions from the Community

What is your experience regarding pricing and costs for Cassandra?

The pricing for Cassandra is a little bit high, so it would be better for our community services if they consider community pricing for any non-profit organization like an NGO or other things. It w...

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What needs improvement with Cassandra?

Regarding areas of improvement for Cassandra, currently, we are not facing significant issues. Some issues arise from our vendors like Apache slowness and distribution or load balancing from HAProx...

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What is your primary use case for Cassandra?

My use case for Cassandra is for a document and other unstructured data management system as well as structured data for ultra-poor member community edition, community members' PII information, so ...

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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...

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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 ...

See all answers

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...

See all answers

Comparisons

ClickHouse vs Cassandra

Compared 7% of the time

MongoDB Enterprise Advanced vs Cassandra

Compared 7% of the time

DataStax Enterprise vs Cassandra

Compared 6% of the time

ScyllaDB vs Cassandra

Compared 5% of the time

Oracle NoSQL vs Cassandra

Compared 4% of the time

More Cassandra Competitors

PostgreSQL vs InfluxDB

Compared 7% of the time

MySQL vs InfluxDB

Compared 6% of the time

MongoDB Enterprise Advanced vs InfluxDB

Compared 6% of the time

SQLite vs InfluxDB

Compared 6% of the time

Timescale vs InfluxDB

Compared 2% of the time

More InfluxDB Competitors

Product Reports

Buyer's Guide

Cassandra

August 2026

Download Cassandra product report

Buyer's Guide

InfluxDB

August 2026

Download InfluxDB product report

Overview

Cassandra is a distributed and scalable database management system used for real-time data processing.

It is highly valued for its ability to handle large amounts of data, scalability, high availability, fault tolerance, and flexible data model.

It is commonly used in finance, e-commerce, and social media industries.

Apache

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

Sample Customers

1. Apple 2. Netflix 3. Facebook 4. Instagram 5. Twitter 6. eBay 7. Spotify 8. Uber 9. Airbnb 10. Adobe 11. Cisco 12. IBM 13. Microsoft 14. Yahoo 15. Reddit 16. Pinterest 17. Salesforce 18. LinkedIn 19. Hulu 20. Airbnb 21. Walmart 22. Target 23. Sony 24. Intel 25. Cisco 26. HP 27. Oracle 28. SAP 29. GE 30. Siemens 31. Volkswagen 32. Toyota

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

Buyer's Guide

Cassandra vs. InfluxDB

August 2026

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