

InfluxDB and Percona Server are competing in the database sector, with InfluxDB excelling in time-series data handling, giving it an advantage in real-time analytics and scalability. Percona Server's broad application compatibility offers a unique edge in versatile environments.
Features: InfluxDB efficiently handles high-velocity time-series data, offers strong query performance, and provides flexible data retention policies. Percona Server supports MySQL and MongoDB, includes extensive backup tools, and ensures high availability capabilities.
Ease of Deployment and Customer Service: InfluxDB is known for straightforward cloud integration supported by an active community, whereas Percona Server offers traditional manual installation with extensive documentation support and detailed technical support and consulting services.
Pricing and ROI: InfluxDB generally has lower initial setup costs for cloud deployments, offering strong ROI for time-series applications. Percona Server involves more comprehensive initial investment, justified by high versatility and operational savings in complex or hybrid environments. ROI varies with InfluxDB providing faster returns for specialized needs and Percona Server delivering value in diverse, adaptive use cases.
These improvements translated into both cost savings and better service reliability, directly impacting business outcomes.
It simplifies processes and reduces the need for additional employees.
It has reduced a lot of time in terms of troubleshooting because the way it produces the data on a time-series basis allows me to collect and store the data for future reference.
What was projected for a three-year hardware lifespan extended to five years, yielding a return on investment of more than two times from migrating from MySQL to Percona Server.
I have seen a return on investment from using Percona Server, especially in terms of time, as time to resolve issues and time to get notified mean that time is a lot of money.
They get on a call, resolve issues, and handle everything efficiently.
The InfluxDB support team was knowledgeable and helped us troubleshoot complex problems efficiently.
Obtaining that quantity of data directly from InfluxDB is quite challenging, and that is why we ask for help from the InfluxDB team to retrieve the data to avoid timeouts and those kinds of issues.
Percona Server's customer support is excellent with very responsive and friendly service.
support was quite helpful in assisting us with archivers, replicators, and other commands.
The main challenge with InfluxDB, which is common with all databases, was handling very high throughput systems and high throughput message flow.
It can handle large volumes of time-series data and with high ingestion rates, making it suitable for enterprise-scale deployments.
We’ve scaled on volume with seven years of continuous data without performance degradation.
Percona Server's scalability is very strong, as it features thread pooling for over 10,000 connections.
We find it is easy to scale out and scale in using Percona Operator, Percona XtraDB toolkits, and PXC XtraDB Cluster.
Percona Server's scalability meets our needs well, as we use it in Docker and scale the way we want with multiple MongoDB servers rather than one huge server.
It serves as the backbone of our application, and its stability is crucial.
We have used it to support mission-critical systems with continuous data ingestion and real-time analytics.
It is very stable, with no reliability or downtime in InfluxDB.
Percona Server is perfectly stable and reliable.
Percona Server is very stable in my experience.
Percona Server is stable based on my experience.
InfluxDB deprecated FluxQL, which was intuitive since developers are already familiar with standard querying.
Having a SQL abstraction in InfluxDB could be beneficial, making it more accessible for teams that prefer querying with SQL-style syntax.
It could include automated backup and a monitoring solution for InfluxDB or a script developed by a REST API.
It would be helpful to clarify the metrics related to disk I/O latency so we could understand where our bottlenecks are.
I believe it would be great to have tools to deploy Percona Server in Docker so that we can split a huge database server into many small servers, which are easier to maintain and delegate to junior administrators.
The introduction of materialized views in Percona Server would be a significant help, as this feature has been requested for a long time.
We use the open-source version of InfluxDB, so it is free.
I find the cloud version pricing of InfluxDB reasonable, and for the on-premises solution we use in our service, we need to purchase licenses.
Pricing is based on data volume, retention, and features, which really makes it scalable but requires careful planning to avoid unexpected costs.
What I appreciated was that they packaged support with the licenses, ensuring that we ended up with a working database.
we received the enterprise features for free
The most important feature for us is low latency, which is crucial in building a high-performance engine for day trading.
InfluxDB’s core functionality is crucial as it allows us to store our data and execute queries with excellent response times.
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.
Percona Kubernetes for MongoDB is a unique offering since no other companies provide a proper Kubernetes operator that supports deployment, maintenance, and backup.
Percona Server has positively impacted my organization by allowing us to save a ton of money by not having to use RDS or Aurora in Amazon.
Whenever there is an issue, Percona Server notifies us, and we resolve the issue immediately.
| Product | Mindshare (%) |
|---|---|
| InfluxDB | 4.9% |
| Percona Server | 2.4% |
| Other | 92.7% |


| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 5 |
| Large Enterprise | 9 |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 3 |
| Large Enterprise | 3 |
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?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.
Percona Server is a MySQL alternative offering improved performance and scalability for databases used in demanding environments. It is tailored for companies requiring reliable data management, ensuring efficiency and flexibility in operations.
Percona Server enhances MySQL with numerous features that boost database performance, making it suitable for large-scale deployments. Known for its ability to handle heavy workloads, users count on Percona Server to maintain operational consistency even under significant demand. Its security and compatibility with MySQL are additional benefits, providing a seamless transition for existing MySQL users. Organizations focused on cost-efficiency and high performance often consider Percona Server as a strong, open-source solution.
What are Percona Server's features?In industries such as e-commerce, telecommunication, and finance, Percona Server is implemented to maintain high transaction volumes and ensure robust data security. Its utility in managing complex database demands makes it a preferred choice in sectors where data integrity and performance are crucial.
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