InfluxDB Reviews & Product Details

InfluxDb is a high-performance time-series database designed for handling large volumes of time-series data efficiently. It is widely used for monitoring, metrics, and analytics, providing reliable data collection and querying capabilities. The platform integrates well with existing tech stacks and offers a user-friendly interface, although there is a learning curve. Pricing can be a concern as usage scales, so it's important to evaluate long-term costs. Review collected by and hosted on G2.com.

What I liked most about InfluxDb was its performance when handling large volumes of time-series data. We used it for monitoring and metrics, and it was reliable for collecting and querying data frequently. The integrations also made it fairly easy to fit into our existing tech stack. I found the UI and overall workflow reasonably straightforward once I got familiar with it, although there is a bit of a learning curve initially. The main drawback for us was pricing. As our data volume and retention needs increased, the cost became harder to justify. Overall, I think it's technically strong, particularly for performance and time series workloads, but I'd recommend carefully evaluating the long-term cost before committing at scale. Review collected by and hosted on G2.com.

I find InfluxDB very relevant and in high demand, both for everyday needs and work, such as monitoring servers and applications by storing CPU, RAM, disk metrics, and others. InfluxDB is also very efficient in handling IoT and sensor data, as well as for DevOps and observability. I like how InfluxDB optimizes time series and 90-day queries can be done in milliseconds, even for billions of rows of data. This incredible query speed makes dashboards like Grafana run smoothly without lag during demos. I also appreciate the improvements in handling high cardinality in the latest version of InfluxDB, which allows tracking millions of series without sacrificing performance. With InfluxDB, substantial issues like large data compression and data retention policies of more than a year can be handled well. The initial setup of InfluxDB is also very easy and quick, making it a valuable choice and highly recommended. Review collected by and hosted on G2.com.

No problem I really like it and it's fun Review collected by and hosted on G2.com.

InfluxDB allows us to store large quantities of data in real-time that originate from our telemetry systems. Additionally, its simplicity and speed in performing backups using the provided tools ensure robust data security without additional complications. Review collected by and hosted on G2.com.

What I dislike about InfluxDB is the limited support and updates for older versions like 1.8, which are still widely used. Review collected by and hosted on G2.com.

InfluxDB stands out as a robust solution for time-series data management, providing a powerful and scalable foundation. Its emphasis on simplicity, integration capabilities, and monitoring features makes it well-suited for a variety of applications. While considerations exist, particularly for new users and in certain scenarios, the overall strengths of InfluxDB position it as a reliable choice in the landscape of time-series databases. Review collected by and hosted on G2.com.

Learning Curve for New Users:

While InfluxDB offers powerful capabilities, new users might encounter a learning curve, especially when mastering the specifics of InfluxQL and navigating the intricacies of the platform.

Clarity in Documentation:

The documentation, although comprehensive, could benefit from enhanced clarity in certain sections. Improvements in this area would contribute to a more user-friendly onboarding process.

Complexity in High-Cardinality Scenarios:

In scenarios with high cardinality, complexities may arise, necessitating careful consideration and optimization to ensure optimal performance. Review collected by and hosted on G2.com.

The database can handle high amounts of data with ease and the built-in clustering functionality ensures that the system remains highly available, even when dealing with large datasets. The real-time performance of InfluxDB is impressive, with fast query execution times and low latency. This makes it ideal for use in applications that require real-time data analysis, such as monitoring and tracking systems. Review collected by and hosted on G2.com.

InfluxDB has limited support for complex data relationships. While it is possible to store related data in the same database, it can be difficult to manage these relationships effectively, especially when dealing with large amounts of data. Review collected by and hosted on G2.com.

It is highly scalable, efficient and easy to use, making it an ideal choice for businesses of all sizes. Its ability to handle large volumes of data in real-time ensures that businesses can make quick and accurate decisions based on the most up-to-date information available Review collected by and hosted on G2.com.

nfluxDB may not be the best choice for managing data that is not time-series based. The query language used in InfluxDB may take some time to learn for those who are not familiar with it Review collected by and hosted on G2.com.

I like that InfluxDB is an open-source, time-series database that makes storing and analyzing time-series data easy. It is also speedy and efficient, allowing for quick analysis and insights. InfluxDB is highly scalable, allowing for vast amounts of data to be stored and accessed. Finally, Flux's built-in query language makes it easy to write complex queries and gain insights from the data. Review collected by and hosted on G2.com.

Difficult to mention, but I would improve data retention policies and price: InfluxDB should provide more flexible data retention policies to support long-term data storage at low cost. Review collected by and hosted on G2.com.

The best features that I like about it are the webhook and http services it offers as endpoints. Review collected by and hosted on G2.com.

I used to dislike how different components in TICK stack had different interfaces but with influxdb2 problem seems to be resolved now. Just looking for a better UI now. Review collected by and hosted on G2.com.

I like the ease of setup. The large number of tutorials and knowledge articles make setting up an instance relatively easy. It was my first time venturing with InfluxDB, and in a couple of hours, I had an instance running and integrated with my IoT project without much trouble. Review collected by and hosted on G2.com.

The dashboards, although useful, are somewhat restrictive in how they can be shared. The typical scenario that I have is to be able to share a live dashboard outside my organisation, be that an auto-updated static image or a "limited functionality" dashboard. Review collected by and hosted on G2.com.

Easiness to use (query, filter, and process) is one of the key points. The built-in data explorer, dashboard building capabilities, and alerts mechanisms make it a one-stop solution to provide meaningful information from large amounts of data at an high velocity. The built-in REST API also makes wonders to quickly integrate with other solutions. Review collected by and hosted on G2.com.

The need to learn a specific query language can be considered a downside. The lack of SQL-like query mechanism also makes it harder to adopt by teams that are used to SQL technologies. Review collected by and hosted on G2.com.