Cassandra vs InfluxDB comparison

Why PeerSpot?

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 #7 with an average rating of 8.1. Apache holds a 8.8% mindshare in ND, compared to InfluxData’s 5.1% 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

5,694 Views
3,587 Comparison Views

92% willing to recommend

InfluxDB

Read 20 InfluxDB reviews

8,832 Views
1,943 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: September 2026).

Buyer's Guide

Cassandra vs. InfluxDB

September 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 (11th)

InfluxDB

Ranking in NoSQL Databases

7th

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 (16th), IT Infrastructure Monitoring (14th)

Mindshare comparison

As of November 2026, in the NoSQL Databases category, the mindshare of Cassandra is 8.8%, up from 8.5% compared to the previous year. The mindshare of InfluxDB is 5.1%, down from 6.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
Cassandra	8.8%
InfluxDB	5.1%
Other	86.1%

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

"Cassandra is good, it's better than CouchDB, and we are using it in parallel with CouchDB, as Cassandra looks better and is more user-friendly."

"The solution's database capabilities are very good."

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

"Cassandra has some features that are more useful for specific use cases where you have time series where you have huge amounts of writes. That should be quick, but not specifically the reads. We needed to have quicker reads and writes and this is why we are using Cassandra right now."

"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 of this solution are its speed and distributed nature."

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

"The time series data was one of the best features along with auto publishing."

More Cassandra pros

"InfluxDB positively impacts my organization because I have optimized my database storage, and by using powerful queries, I am able to find my data logs efficiently and also manage logging."

"Prior to InfluxDB usage, real-time data was not visualized and monitored, and after the introduction of InfluxDB in the entire framework, the organization is benefiting a lot in terms of monitoring and understanding performance data in real-time."

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

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

"In our case, it started with a necessity to fill the gap that we had in monitoring. We had very reactive monitoring without trend analysis and without some advanced features. We were able to implement them by using a time series database. We are able to have all the data from applications, logs, and systems, and we can use a simple query language to correlate all the data and make things happen, especially with monitoring. We could more proactively monitor our systems and our players' trends."

"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 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 from servers. It must be installed on Windows or Linux servers. During installation, ensure that the configuration file is correct to prevent issues. Once data is collected, it can be sent to InfluxDB. For visualization, you can use open-source tools like Grafana."

"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."

More InfluxDB pros

Cons

"The solution is not easy to use because it is a big database and you have to learn the interface. This is the case though in most of these solutions."

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

"Maybe they can improve their performance in data fetching from a high volume of data sets."

"The solution is limited to a linear performance."

"There were challenges with the query language and the development interface. The query language, in particular, could be improved for better optimization. These challenges were encountered while using the Java SDK."

"Cassandra could be more user-friendly like MongoDB."

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

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

More Cassandra cons

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

"The solution's UI can be more user-friendly."

"I chose an 8 out of 10 because there is room for improvement, such as regarding backups and enhanced security through other types of authentication or encrypted data in TLS."

"Customer support is fair enough but can be improved."

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

"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."

"The error logging capability can be improved because the logs are not very informative."

"InfluxDB can be improved in several ways. The Flux query language needs to be learned, but if there were something similar to SQL or previous options, it would be much easier for users without imposing a learning curve."

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."

"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 pay for a license."

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

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

"The tool is an open-source product."

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

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Comms Service Provider

10%

Construction Company

Manufacturing Company

Comms Service Provider

12%

Manufacturing Company

10%

Financial Services Firm

10%

Outsourcing Company

10%

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...

See all answers

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...

See all answers

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...

See all answers

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

MongoDB Enterprise Advanced vs Cassandra

Compared 7% of the time

Neo4j Graph Database vs Cassandra

Compared 7% of the time

ClickHouse vs Cassandra

Compared 6% of the time

DataStax Enterprise vs Cassandra

Compared 6% of the time

SingleStore vs Cassandra

Compared 4% of the time

More Cassandra Competitors

PostgreSQL vs InfluxDB

Compared 6% of the time

MongoDB Enterprise Advanced vs InfluxDB

Compared 5% of the time

MySQL vs InfluxDB

Compared 5% of the time

VictoriaMetrics vs InfluxDB

Compared 5% of the time

Timescale vs InfluxDB

Compared 2% of the time

More InfluxDB Competitors

Product Reports

Buyer's Guide

Cassandra

October 2026

Download Cassandra product report

Buyer's Guide

InfluxDB

October 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

September 2026

Free Report: Cassandra vs. InfluxDB

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