I use the solution to store and manage data from various sensors in a production environment. I have developed a system where data from these sensors is communicated through an OPC UA receiver and stored in InfluxDB. It handles serial data from sensors effectively and integrates well with Grafana for visualization.
InfluxDB Cloud Serverless
InfluxData Inc.External reviews
108 reviews
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does not work as expected
This review does not judge the InfluxDB product itself, but this AWS Marketplace offering.
For our company, we did not manage to get this product working. Creating the AWS Marketplace linked account at InfluxData always failed with a 500 server error at Influx, resulting in a free-only account, which was not fully functional.
Even working for 4 weeks on this topic together with the influx support team, with several emails and web-meetings, did not help. The influx development team could not identify and solve the issues.
Handles serial data from sensors effectively and integrates well with third-party systems for visualization
What is our primary use case?
What is most valuable?
The platform operates very quickly. It is easy to configure, connect, and query and integrates seamlessly with Grafana.
For how long have I used the solution?
I have been using InfluxDB for four years.
What do I think about the stability of the solution?
I have not experienced any stability issues with the product.
What do I think about the scalability of the solution?
Approximately 20% of our team uses InfluxDB.
What other advice do I have?
I recommend InfluxDB to others and rate it a ten.
Best Time-series database
What do you like best about the product?
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.
What do you dislike about the product?
What I dislike about InfluxDB is the limited support and updates for older versions like 1.8, which are still widely used.
What problems is the product solving and how is that benefiting you?
InfluxDB solved our problem of storing the telemetry data from our prototypes and make it accesible to the rest of team. Also, allows us to querty the data in real time, simplifing our debug process.
An open-source database that can be used to insert data
What is our primary use case?
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.
What needs improvement?
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.
For how long have I used the solution?
I have been working with the product for five years.
What do I think about the scalability of the solution?
My company has 20-30 admins and 4,000-5,000 users. We have around 15,000 servers.
How are customer service and support?
If you deviate from their documentation, they may refuse to provide support, stating it's not covered under the agreement. Additionally, their response times are slow, and they often suggest purchasing premium support for quicker resolution.
When you opt for premium support, they usually assign dedicated consultants. This means that whenever you encounter a problem, you have direct access to experts whom you can call, email, or engage in a call to resolve issues.
What's my experience with pricing, setup cost, and licensing?
The tool is an open-source product.
What other advice do I have?
If you're considering using InfluxDB for the first time, I recommend trying it. It's an open-source database with the option to purchase enterprise support.
When purchasing the TICK stack, I recommend you opt for premium support. Premium support can be beneficial, particularly when encountering configuration issues or other challenges. With premium support, you can quickly reach out for assistance via phone and work towards resolving any issues promptly. Otherwise, you may wait for up to another week to resolve the problem.
Learning to use InfluxDB is not necessarily easy for a beginner. It requires some understanding, especially in areas like automation and scripting.
I would rate it as an open-source tool around seven to eight out of ten. You only need to spend money on the resources, not much on the product itself. Essentially, you need to invest in the database.
Navigating the Landscape of Time-Series Databases
What do you like best about the product?
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.
What do you dislike about the product?
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.
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.
What problems is the product solving and how is that benefiting you?
InfluxDB's capabilities address critical pain points related to time-series data, offering efficient solutions that benefit users by ensuring optimal performance, scalability, simplified querying, proactive issue resolution, and versatile integration possibilities.
Efficiently customize alerts, data visualization, but lacks in stability
What is our primary use case?
Initially, we used Prometheus and Grafana for alerts. But, it wasn't feasible to handle logs and other types of databases. We then switched to InfluxDB due to its user interface, which allowed us to customize alerts, data visualization, and filtering for monitoring purposes.
What is most valuable?
The user interface is well-designed and easy to use. It provides a clear overview of the data, making it simple to understand the information at hand.
What needs improvement?
There were concerns about data loss due to infrastructure limitations. We couldn't back up data locally if we were using the InfluxDB cloud, which was a major drawback. So, InfluxDB could improve its data backup capabilities.
Having a backup option would allow us to save data and avoid relying solely on cloud infrastructure. We've experienced data loss incidents in the past, so backup is crucial. I've tried both on-premises and cloud-based deployments, and each has its limitations.
For how long have I used the solution?
I used this solution for one and a half years.
What do I think about the stability of the solution?
I would rate stability at seven. We faced two to three incidents where we lost data.
What do I think about the scalability of the solution?
Scalability is good, but I would give it six out of ten. It's not very stable regarding data backup. We had a user who worked with the support team, and they helped a lot, but they couldn't retrieve the complete data quickly.
How are customer service and support?
We had a user who worked with the support team, and they helped a lot, but they couldn't retrieve the complete data quickly.
The support team is good, but if they don't have the data, it's not their fault. It's the technical team's issue.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
I use Datadog, New Relic, Grafana and Prometheus. I switched to Influx DB because of its user interface.
How was the initial setup?
The initial setup is very straightforward. It is not very tricky.
I have tried both versions for on-premises and cloud deployment. Otis took around five to six minutes. If we have a script, cloud deployment takes one to two minutes.
What's my experience with pricing, setup cost, and licensing?
InfluxDB recently increased its price. It is very expensive now. It is now per month; earlier, it was per year-based license.
What other advice do I have?
Overall, I would rate the solution a seven out of ten because InfluxDB needs to remove the limitations so users can see all their data. This was a huge headache for me because we got hit twice or thrice.
Problem solving DB
What do you like best about the product?
This DB supports multiple use cases and solves them perfectly. Like support for IOT and accurate like analytics, and how can I forget support for Gaming
What do you dislike about the product?
A slight learning curve bugs me; apart from that, it's perfect. The issue I faced can be my problem, but I'd like to mention it.
What problems is the product solving and how is that benefiting you?
Problems were many, but I would shed light on some crucial ones. Integration is relatively easy and supports widely accepted languages. I implemented it in c#. A single DB solved my analytical, reporting and DevOps issues.
Worked well for implementing the monitoring framework
What do you like best about the product?
We developed a centralized monitoring infrastructure to aggregate metrics from different source and influxdb worked well for the data integration from multiple sources for aggregation.
What do you dislike about the product?
There were not much direct plugins or integrations and we had to develop most of the out of box solutions.
What problems is the product solving and how is that benefiting you?
We analyzed few timeseries databases for the data integration and influxdb did satisfy all the data integration requirements and also the performance and pricing were as par compared to the others.
Useful
What do you like best about the product?
It is very complete and useful tool for IoT building
What do you dislike about the product?
Maybe the only thing I dislike is the price
What problems is the product solving and how is that benefiting you?
InfluxDB is the essential time series toolkit — dashboards, queries, tasks and agents all in one place.
Best Db for High end usage
What do you like best about the product?
The influxdb is best in its performance and how it deals with a complex queries, resulting in a very faster response. The DB in performance is really great. This is one of the best Db.
What do you dislike about the product?
The documentation of DB is quite difficult to understand in the first time reading and implementation. There must be some good tutorial for different use cases.
What problems is the product solving and how is that benefiting you?
We used to have a streaming kind of the system in projects this influcxDB solves the problem of time stamp-based data that we can render easily and stitch and use. This also helped in analytics of readl time.
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