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: March 2026).

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InfluxDB vs. ScyllaDB

March 2026

Helped 884,976 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

6.7

Number of Reviews

Ranking in other categories

Non-Relational Databases (1st), Open Source Databases (7th), Network Monitoring Software (12th), IT Infrastructure Monitoring (16th)

ScyllaDB

Ranking in NoSQL Databases

4th

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of March 2026, in the NoSQL Databases category, the mindshare of InfluxDB is 5.3%, down from 10.7% compared to the previous year. The mindshare of ScyllaDB is 7.3%, down from 10.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
ScyllaDB	7.3%
InfluxDB	5.3%
Other	87.4%

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."

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

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

"Based on InfluxDB, we have great analytics produced by our SRE team, and with that, we have an alerting and monitoring system in place."

"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."

"The solution is very powerful."

"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."

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

More InfluxDB pros

"Firstly, if I update something, it's most likely to finish within milliseconds."

"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."

"The performance aspects of Scylla are good, as always... A good point about Scylla is that it can be used extensively."

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

"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."

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

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

More ScyllaDB pros

Cons

"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."

"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."

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

"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."

"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."

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

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

More InfluxDB cons

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

"Support and the availability of support need improvement. I would give them a six out of ten."

"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."

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

"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."

"ScyllaDB needs to improve its handling of transactions."

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

"From a sales pitch standpoint, it needs to deliver on promises of better ROI and compaction."

More ScyllaDB cons

Pricing and Cost Advice

"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."

"InfluxDB recently increased its price. It is very expensive now."

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

"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 is an expensive tool compared to its competitor."

"It's free."

"It's a bit expensive."

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Top Industries

By visitors reading reviews

Manufacturing Company

11%

Financial Services Firm

10%

Comms Service Provider

University

Outsourcing Company

13%

Comms Service Provider

Financial Services Firm

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	2
Large Enterprise	8

Questions from the Community

What do you like most about InfluxDB?

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 ...

What needs improvement with InfluxDB?

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 impo...

What is your primary use case for InfluxDB?

My main use case for InfluxDB is for server management metrics, Kubernetes monitoring, and application performance monitoring due to the time series data involved. We have InfluxDB integrated with ...

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

ClickHouse vs InfluxDB

Compared 11% of the time

SQLite vs InfluxDB

Compared 9% of the time

Compared 9% of the time

PostgreSQL vs InfluxDB

Compared 8% of the time

MySQL vs InfluxDB

Compared 6% of the time

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Redis vs ScyllaDB

Compared 18% of the time

MongoDB Enterprise Advanced vs ScyllaDB

Compared 13% of the time

Apache HBase vs ScyllaDB

Compared 10% of the time

Cassandra vs ScyllaDB

Compared 10% of the time

Cloudera Distribution for Hadoop vs ScyllaDB

Compared 4% of the time

More ScyllaDB Competitors

Product Reports

Download InfluxDB product report

InfluxDB

March 2026

Download ScyllaDB product report

February 2026

Overview

InfluxDB is open-source software that helps developers and enterprises alike to collect, store, process, and visualize time series data and to build next-generation applications. InfluxDB provides monitoring and insight on IoT, application, system, container, and infrastructure quickly and easily without complexities or compromises in scale, speed, or productivity.

InfluxDB has become a popular insight system for unified metrics and events enabling the most demanding SLAs. InfluxDB is used in just about every type of industry across a wide range of use cases, including network monitoring, IoT monitoring, industrial IoT, and infrastructure and application monitoring.

InfluxDB offers its users:

Infrastructure and application monitoring: Collect, process, and analyze real-time data from edge devices to help optimize distributed infrastructure.

IoT monitoring and analytics: InfluxDB is designed to store large volumes of time series data and quickly perform real-time analysis on that data. Gain insights from all the sensor data and use the collected data to create and perform automated tasks.

Network monitoring: Manage responsive and high-performing networks with widely distributed resources.

InfluxDB Benefits

There are several benefits to using InfluxDB . Some of the biggest advantages the solution offers include:

APIs and ready toolset: InfluxDB can be accessed via a set of powerful tools enabling users to get started quickly, with less programming required. This includes a REST API, extensive client libraries, a wide variety of open-source integrations, and Flux - a functional data scripting language for querying, analysis, and events. The InfluxDB API can be used to write data from edge devices to the InfluxDB instance

Time series engine: Get any data - events, logs, traces - from any edge device - systems, sensors, queues, databases, and networks. This data is stored in a powerful and high-performing engine capable of ingesting millions of data points per second.

Community: InfluxDB has a large community of cloud and open-source developers ready to assist users.

Ready-made templates: Use InfluxDB Templates, a set of tools with a packager and other ready monitoring solutions. These tools allow users to share their monitoring expertise with coworkers and other community members around the world. The Templates gallery offers available templates for some of the most popular tools and applications.

Enhanced UI: InfluxDB’s UI includes an explorer, dashboarding tools, and a script editor. Use it to easily browse the collected metric and event data and apply common transformations. The dashboarding tool comes with a variety of visualization options that help users view insights from the data. The script editor assists users to quickly master Flux with easily accessible examples, auto-completion, and real-time syntax checking.

Reviews from Real Users

InfluxDB stands out among its competitors for a number of reasons. Two major ones are its flexible integration options and its data aggregation feature.

Shalauddin Ahamad S., a software engineer at a tech services company, notes, “The most valuable features are aggregating the data and the integration with Grafana for monitoring.”

InfluxData

ScyllaDB is an open-source, distributed NoSQL wide-column datastore (a highly scalable NoSQL database), known for its compatibility with Apache Cassandra, and for supporting the same protocols as Cassandra (CQL and Thrift) and the same file formats (SSTable). ScyllaDB is designed for high throughput and low latency, making it suitable for data-intensive applications. Its architecture allows it to deliver remarkable performance on a massive scale, utilizing modern multi-core servers to their fullest potential

ScyllaDB utilizes a similar architecture, data format, and query language as Apache Cassandra, providing compatibility while dramatically improving speed and scalability.

The key advantages of ScyllaDB include its rewritten C++ implementation that eliminates Cassandra's expensive Java garbage collection pauses, built-in caching for fast access to frequently used data, and shard-aware drivers for direct routing of requests. This enables it to fully leverage modern multi-core servers for massive parallelism. The community is active and the latest major release, ScyllaDB Enterprise 2023.1.0 LTS, incorporates over 5,000 code commits focused on enhancing capabilities.

ScyllaDB supports wide-column data modeling for fast read performance at scale. It includes integrated monitoring and management tools to track database health and performance. For organizations looking to boost speed and reduce costs for NoSQL workloads, ScyllaDB offers a drop-in replacement for Cassandra that delivers lower latency, higher throughput, and increased scalability with fewer nodes. Its seamless migration path makes switching from Cassandra seamless, requiring minimal code changes.

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