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

4,188 Views
2,597 Comparison Views

92% willing to recommend

InfluxDB

Read 20 InfluxDB reviews

6,493 Views
1,558 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: June 2026).

Buyer's Guide

Cassandra vs. InfluxDB

June 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 (7th), Network Monitoring Software (13th), IT Infrastructure Monitoring (14th)

Mindshare comparison

As of July 2026, in the NoSQL Databases category, the mindshare of Cassandra is 8.2%, down from 10.4% compared to the previous year. The mindshare of InfluxDB is 5.2%, down from 7.8% 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

"Some of the valued features of this solution are it has good performance and failover."

"I am satisfied with the performance; so far it has done fairly well and there haven't been any complaints."

"Based on my experience, Cassandra is good for document management system, as well as distributed database system, and the automatic recovery process is there."

"A consistent solution."

"Ability to achieve write speeds 10k tps: Compared to existing, it is 300% percent higher."

"The most valuable features of this solution are its speed and distributed nature."

"Overall, I would rate Cassandra as nine because of its fast writes, which really suit our use cases mostly."

"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."

More Cassandra pros

"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."

"My advice for others looking into using InfluxDB is to use it the same way I did, because it is really stable, easy and friendly to use, and it is a great product overall."

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

"InfluxDB has positively impacted Energy Box by being the best choice for our needs."

"InfluxDB has played a key role in enhancing system reliability and supporting our goal of delivering a seamless, high-quality product."

"This product has been working well and it is serving our purpose, so I can recommend it to others."

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

More InfluxDB pros

Cons

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

"While Cassandra can handle NoSQL, I think there should be more flexibility for whole schema design when data is stored in wide columns. Additionally, I believe that eventual consistency should be enhanced."

"It can be difficult to analyze what's going on inside of the database relative to other databases. It can also be difficult to troubleshoot sometimes."

"The solution doesn't have joins between tables so you need other tools for that."

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

"One of the issues with the solution is that you cannot drop write like you're able to in MongoDB and MySQL, where you can join tables."

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

"Depending upon our schema, we can't make ORDER BY or GROUP BY clauses in the product."

More Cassandra cons

"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 interface of InfluxDB is so complex and should be made easier for non-technical people."

"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 be improved by addressing issues such as performance drops, queries being more difficult to understand, and its high memory usage."

"However, I cannot ignore the challenges I faced while configuring the database with my message brokers, whether Rabbit or Kafka, because the documentation is not properly provided."

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

"If it gets a little bit more into the metric side, then it would really be great, similar to Prometheus."

"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."

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."

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

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

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

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

"We pay for a license."

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

"The tool is an open-source product."

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

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Construction Company

Comms Service Provider

Performing Arts

Financial Services Firm

11%

Manufacturing Company

10%

Comms Service Provider

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 8% 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 3% of the time

More Cassandra Competitors

PostgreSQL vs InfluxDB

Compared 7% of the time

MySQL vs InfluxDB

Compared 6% of the time

SQLite vs InfluxDB

Compared 6% of the time

MongoDB Enterprise Advanced vs InfluxDB

Compared 6% of the time

MariaDB vs InfluxDB

Compared 3% of the time

More InfluxDB Competitors

Product Reports

Buyer's Guide

Cassandra

July 2026

Download Cassandra product report

Buyer's Guide

InfluxDB

July 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

June 2026

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