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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.
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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.
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.
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.
Excellent DB for storing Time Based Data
What do you like best about the product?
It might be the best DB for storing time series data because it can hold large amounts of time series data in nano-seconds. System performance is excellent, and it's easy to deploy.
What do you dislike about the product?
It sometimes crashes while querying large data, and the Admin GUI could be more user-friendly. Documentation could be improved and made more user-friendly otherwise there isn't much I dislike about InfluxDB.
What problems is the product solving and how is that benefiting you?
InfluxDB is solving the problem of storing and handling time series data. InfluxDB is fully compatible with Grafana and integrates amazingly, so this has been a considerable solution for us.
Good time series database
What do you like best about the product?
InfluxDB is being used by our IT teams along with other products (Grafana, Chronograf). This allows us to analyze and troubleshoot issues based on metrics collected across our IT infrastructure within InfluxDB.
What do you dislike about the product?
Gui administration console, expected more granular controls.
What problems is the product solving and how is that benefiting you?
Pricing model of influx db worked for us, compared to other products.
InfluxDB is an outstanding time-series database.
What do you like best about the product?
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
What do you dislike about the product?
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
What problems is the product solving and how is that benefiting you?
InfluxDB is often used to collect and analyze performance metrics and log data from cloud infrastructure, microservices, and containers, providing real-time insights into the health and performance of complex distributed systems.
InfluxDB can serve as a data source for machine learning and AI models, providing valuable historical data for training and prediction purposes.
InfluxDB can serve as a data source for machine learning and AI models, providing valuable historical data for training and prediction purposes.
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