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Great fast time series database and query language, very fast response and support
What do you like best about the product?
Everything works as promised. Documentation is good and structured, support is even better with fast response time (minutes). New functionality grows fast and most new solutions are released before you thought you needed them.
What do you dislike about the product?
Almost none. As with many 'new' things, Flux has a steap learning curve, but once you master is, it is very powerful. And SQL queries are on its way, so problem solved for those who don't need the power of Flux.
What problems is the product solving and how is that benefiting you?
It gives the ability to collect time series big data and then analyse/query is in many ways with very quick query results. Flux gives you the ability to combine time series with external datasets (API/DB).
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A Comprehensive Review of InfluxDB
What do you like best about the product?
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.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
InfluxDB is highly customizable and can be integrated with other tools and systems, making it a versatile choice for a wide range of use cases. Whether you are working with IoT data, application metrics, or financial data, InfluxDB can handle it all with ease. The built-in graphing and alerting features make it simple to visualize and monitor your data, and the integration with popular tools like Grafana and Kapacitor only adds to its versatility.
A light but powerful db for many IoT applications
What do you like best about the product?
It's a quick "time to awesome" solution, as they say. The short learning curve and intuitive usage make it the perfect choice for newbies and experts. In terms of writing/reading rate, it outperforms the competitors, as documented in many papers.
What do you dislike about the product?
Influx is rapidly growing. The simplicity of version v1.0 was impressive. Influx v2.0 added many features, and InfluxDB Cloud changed the paradigm: this may have made old applications outdated quickly.
What problems is the product solving and how is that benefiting you?
When IoT applications are concerned, a storage solution is always needed for one reason or another: historical data saving, performance monitoring, analytics, and so on. InfluxDB fulfills all the requirements, together with Telegraf, allowing me to build a home automation app rapidly, efficiently and happily.
One of the most complete timeseries database solution.
What do you like best about the product?
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.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
Storing and analysis large bulks of data coming from large deploy of IoT devices (sensors). Also been using it to store measurements of on-prem infrastructure, creating alerts that trigger when some issue arises.
I love the speedy and efficient
What do you like best about the product?
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.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
InfluxDB is a time-series database that can be used for a wide variety of purposes, such as monitoring and logging of events and collecting metrics, among others. It is particularly well-suited for applications that require data about processes that occur over time, such as IoT applications, DevOps performance monitoring, and real-time analytics.
Best time-series database
What do you like best about the product?
- Vast amount of resources and support available online
- Have connections to good amount of visualization tools
- Have connections to good amount of visualization tools
What do you dislike about the product?
- Very less flexible in editing past data
What problems is the product solving and how is that benefiting you?
We use InfluxDB for storing production data for all of our sites throughout the world
One of the best solutions for time series data
What do you like best about the product?
What I like best about InfluxDB is its ability to handle high write and query loads, which makes it well-suited for time series data and real-time analytics. The software also has a built-in query language and a web-based interface that makes it easy to interact with and visualize data.
What do you dislike about the product?
One thing I dislike about InfluxDB is that it is not as well-suited for handling large amounts of unstructured data as some other databases I used before. Additionally, some users might find the query language somewhat difficult to learn, not a big minus or something, but still had to point it out.
What problems is the product solving and how is that benefiting you?
InfluxDB is solving the problem of storing and querying time series data by providing a high-performance database that is optimized for this type of data. This is benefiting users by allowing them to easily collect, store and analyze real-time data, and make data-driven decisions based on it.
Flexible and responsive time series db
What do you like best about the product?
The flexibility in how you can store and query data. This makes it an easy solution to start playing with and integrating time series data into an application. It is great that it is open source and has cloud hosting options.
What do you dislike about the product?
The cloud hosting seems like it could be quite expensive at scale. There is also an odd separation between what is available in the cloud and OSS versions but this is well documented.
What problems is the product solving and how is that benefiting you?
InfluxDB is provides a quick and flexible way to provide time series data for another application. It can scale and support more structured data and queries over time.
Great training on advanced Flux skills
What do you like best about the product?
The hands-on part of the course was very beneficial.
What do you dislike about the product?
Nothing major to dislike. The only minor improvement would be to have the time ranges of the data we worked with as recent as possible so that the default periods could be used when browsing the data.
What problems is the product solving and how is that benefiting you?
Allowing us to investigate and manipulate our data with ease and deliver insight to clients with greater efficiency
Great Time Series DB
What do you like best about the product?
The performance of writes and reads! Easy to maintain.
What do you dislike about the product?
Maybe some of the documentation could get improved.
What problems is the product solving and how is that benefiting you?
It solves the part of storing any metric and being able to query these in whatever way you like.
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