InfluxDB vs ScyllaDB comparison

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InfluxDB

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Executive SummaryUpdated on Jan 7, 2025

InfluxDB and ScyllaDB are both in the data storage category, with InfluxDB initially appearing more appealing due to its specialization in time-series data. However, ScyllaDB distinguishes itself with its capacity for handling high-volume data throughput and superior scalability.

Features: InfluxDB's time-series focus makes it perfect for monitoring, offering data retention policies and numerous integration options. ScyllaDB is designed for high-speed and low-latency performance, making it ideal for demanding environments. Both products serve different needs, with InfluxDB suited for time-sensitive data and ScyllaDB for high-volume applications.

Room for Improvement: InfluxDB could enhance its capabilities for handling larger data volumes and improve its scalability for more extensive implementations. Additionally, richer analytical functions would benefit its offering. ScyllaDB would gain from simplifying its deployment processes and reducing the technical expertise needed. Enhancements in its user interface and management tools would increase its user-friendliness.

Ease of Deployment and Customer Service: InfluxDB offers a straightforward installation process and comprehensive documentation to aid deployment, with a cloud option simplifying usage. ScyllaDB's deployment is more complex, needing more technical expertise due to its scalability focus. However, ScyllaDB's support is notable for its in-depth approach and problem-solving capabilities, while InfluxDB is recognized for accessible support channels.

Pricing and ROI: InfluxDB generally presents a lower initial setup cost and is more cost-effective for businesses dealing with time-series data, providing faster ROI. ScyllaDB, although more expensive upfront, offers significant ROI over long-term projects needing high throughput and minimal downtime, attracting those requiring substantial performance enhancements.

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

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InfluxDB vs. ScyllaDB

June 2026

Helped 908,834 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:

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)

ScyllaDB

Ranking in NoSQL Databases

7th

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

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 ScyllaDB is 5.9%, down from 10.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
InfluxDB	5.2%
ScyllaDB	5.9%
Other	88.9%

NoSQL Databases

Featured Reviews

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.

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Manikandan Gunasekaran

Director of Engineering at Ola

Reliable data management with great reliability and performance

From a sales pitch standpoint, it needs to deliver on promises of better ROI and compaction. Additionally, ticketing and support systems could be improved due to the time it takes to get answers. There's also an issue with compatibility when attempting to switch back from the enterprise to the community version.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

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."

"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."

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

"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."

"I recommend going with the cloud version of InfluxDB, as it's very cheap and effective."

"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."

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

"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."

More InfluxDB pros

"ScyllaDB allows fine-tuning of the table structure. Speed is probably the most critical factor because we perform a lot of heavy data ingestion. One of its core features is its ability to handle high volumes and maintain speed when accessing data. Additionally, high availability and partitioning are built-in features of ScyllaDB."

"ScyllaDB is very fast, and I can use it for so many things."

"The product's most valuable features are efficiency and reliability."

"Scalability in performance is good."

"I like how fast it is to query data from the ScyllaDB node!"

"It is lightweight, and it requires less infrastructure."

"The documentation is good. It integrates easily with our existing data infrastructure."

"The performance and scalability are good, and we hardly see any major issues with ScyllaDB."

More ScyllaDB pros

Cons

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

"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."

"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."

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

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

"However, I do wish the documentation and community resources around Flux were more extensive and beginner-friendly."

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

"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."

More InfluxDB cons

"The documentation of Scylla is an area with shortcomings and needs to be improved."

"We faced several challenges while integrating ScyllaDB into our AWS environment. One common issue was that a security port wasn’t opened on one node, preventingdata synchronization across clusters. We noticed the data wasn’t syncing correctly when we saw different record counts in other regions. After investigating, we found that the port was closed in one AWS region. Once we opened the port, the data synchronization across all nodes resumed as expected."

"It seems we have better options available. So probably don't go for ScyllaDB. The reason is, first, it's very high. It's not as straightforward as, like, Postgres or ClickHouse to set up. It requires a complex setup."

"The documentation is not well established for new developers."

"Some of the regular commands in NoSQL do not work."

"We've had occasional performance challenges that required resource adjustments or optimizations in our interaction with the platform."

"If you don't have the best computing resources, then it's not easy to set up. In such cases, we have to run ScyllaDB in developer mode."

"The product needs to add more features and improve the response time of the support team."

More ScyllaDB cons

Pricing and Cost Advice

"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."

"The paid version of ScyllaDB is not that expensive. The main advantage of the paid version is direct support from the ScyllaDB team, which can resolve issues faster—typically within a day, compared to two to three days with the free version. The paid version also offers better guidance and support, while the free version has good documentation and is more high-level. I’d rate their support team nine out of ten because of the quick responses from their community."

"It's a bit expensive."

"I believe that there is a yearly licensing cost and that it's expensive."

"It is an expensive tool compared to its competitor."

"It's free."

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Top Industries

By visitors reading reviews

Financial Services Firm

11%

Comms Service Provider

10%

Manufacturing Company

Construction Company

Outsourcing Company

14%

Comms Service Provider

Financial Services Firm

Transportation Company

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	3
Midsize Enterprise	2
Large Enterprise	8

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 is your experience regarding pricing and costs for Scylla?

From what I’ve seen (and experienced), ScyllaDB pricing is very dependent on how you deploy it, and that’s where most of the confusion comes from.

What needs improvement with Scylla?

What is your primary use case for Scylla?

We dump a lot of our data, such as every entry created with respect to when a user rides a scooter, every record gets updated to ScyllaDB. It is used as a single source of truth and it manages mass...

MongoDB Enterprise Advanced vs InfluxDB

Comparisons

PostgreSQL vs InfluxDB

Compared 7% of the time

MySQL vs InfluxDB

Compared 6% of the time

Compared 6% of the time

SQLite vs InfluxDB

Compared 6% of the time

ClickHouse vs InfluxDB

Compared 5% of the time

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Redis vs ScyllaDB

Compared 13% of the time

Cassandra vs ScyllaDB

Compared 13% of the time

MongoDB Enterprise Advanced vs ScyllaDB

Compared 10% of the time

Apache HBase vs ScyllaDB

Compared 8% of the time

CouchDB vs ScyllaDB

Compared 4% of the time

More ScyllaDB Competitors

Product Reports

Download InfluxDB product report

InfluxDB

August 2026

Download ScyllaDB product report

July 2026

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

ScyllaDB is known for its remarkable speed, efficiency, and reliability. It operates with minimal resources, supports large data volumes, and allows for meticulous fine-tuning. Enhanced by Seastar, it offers a performance edge over Cassandra and prioritizes ease of use with robust data synchronization.

ScyllaDB stands out for its capability in high-volume data handling, making it ideal for distributed systems. It integrates easily with APIs and supports user-defined types, providing flexibility through Cassandra SDK and DynamoDB. High availability, effective partitioning, easy updates, and rapid query responses enhance its appeal for organizations dealing with real-time analytics and time-series data management. However, users have noted the complexity in setup compared to MongoDB or Postgres and have highlighted the need for improvements in areas like data export, deletion processes, and documentation. There are also challenges with transactions, support response, compatibility, and AWS integration, with some requiring custom commands which may affect universality.

What are the key features of ScyllaDB?

Exceptional Speed: Achieves high performance through Seastar technology.
Efficiency: Consumes minimal computing resources while supporting substantial data volumes.
Reliability: Offers robust failover systems and data synchronization capabilities.
Flexible Integration: Supports APIs, user-defined types, Cassandra SDK, and DynamoDB.
High Availability: Ensures continuous access and effective partitioning.

Which benefits and ROI should users look for in reviews?

Cost Efficiency: Maximizes resource utilization with minimal expense.
Performance: Provides fast data querying crucial for real-time analytics.
Scalability: Easily manages large-scale and high-volume data needs.
Security: Ensures safe and secure data storage within distributed systems.

Industries like telecommunications, advertising, mobility services, and security implement ScyllaDB for managing extensive datasets and securing real-time data access. Its scalability and efficiency make it a preferred choice for data transformation services, harmonizing complex data flows with real-time analytics needs.

Sample Customers

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

IBM, Investing.com, mParticle, Comcast, GE, Fanatics, Ola, CERN, adgear, Samsung