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Good Time Series Database for database requirement
What do you like best about the product?
It is open source,
It is fast,
It supports high-availability;
HTTP native API to build on;
Continuous Queries;
Built-in tools for down-sampling and summarizing;
Sharding data
It is fast,
It supports high-availability;
HTTP native API to build on;
Continuous Queries;
Built-in tools for down-sampling and summarizing;
Sharding data
What do you dislike about the product?
documentation is really not helpful;
deleting of data may or may not work even if the query matches;
opensource really needs to be open source;
It is still having lot of dependencies
deleting of data may or may not work even if the query matches;
opensource really needs to be open source;
It is still having lot of dependencies
What problems is the product solving and how is that benefiting you?
Time series database requirements, applications like Internet of Things;
Telemetry data collection & dashboarding;
It has HTTP native API to build on;
It can do lot of Continuous Queries;
It has Built-in tools for down-sampling and summarizing;
It supports Sharding data
It can Process or monitor data as it comes
Telemetry data collection & dashboarding;
It has HTTP native API to build on;
It can do lot of Continuous Queries;
It has Built-in tools for down-sampling and summarizing;
It supports Sharding data
It can Process or monitor data as it comes
Recommendations to others considering the product:
You should use InfluxDB when you want continuous streaming data
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Managing time series in an easy way
What do you like best about the product?
It is a database specialized in data processing to build time series. It can integrate with other tools such as Grafana to monitor and visualize the data through different filters. It is also continually releasing updates and offering good documentation and support from the community.
What do you dislike about the product?
I think it could be improved data interpretation, either through an interface or through the results provided through the console. Another aspect of improving at the performance level is the memory use as we accumulate data since sometimes it is necessary to restart the server to free memory.
What problems is the product solving and how is that benefiting you?
One of the primary use cases is the possibility of monitoring our applications to obtain metrics related to the memory and CPU consumption of the application servers that are running in containers and orchestrators such as Docker and Kubernetes. In addition, we can generate alerts for different types of events and monitor in real-time the capacity of applications as users register and connect.
Recommendations to others considering the product:
It is a good solution for time series recording and can be integrated with other monitoring tools such as Prometheus and Grafana through different plugins.
The tech is great, cloud offering is immature
What do you like best about the product?
Easy to learn Flux language to query the DB. Not too hard to programmatically generate query code
What do you dislike about the product?
The repeating technical issues, around 1-2 issues a month that prevents us as an org, from providing our customers with data.
The rate of failures has decreased in the last 6 months but still way too high compared to other DB as a service offerings
The rate of failures has decreased in the last 6 months but still way too high compared to other DB as a service offerings
What problems is the product solving and how is that benefiting you?
Fast queries that the main parameter is time. This is where Timebased DB shines.
Recommendations to others considering the product:
Consider the OSS solution, it has better community. The cloud service is immature
Leveraging InfluxDB for IoT projects has been a breeze.
What do you like best about the product?
The high availability of the stored data and also time series feature has helped develop our IoT projects with the greatest efficiency and further projects have been planned on the same framework.
What do you dislike about the product?
The initial learning curve was a challenge, but as the team was trained, the workflow got easier.
What problems is the product solving and how is that benefiting you?
Our data availability request was a challenge with the existing infrastructure, so we had to leverage a solution for robust data transfers and high availability timeframe with minimal lag.
Excellent High Performance Time Series Database
What do you like best about the product?
Powerful database for time series data that is very feature rich and easy to use. Very useful for a lot of different uses from monitoring to reporting and many other tasks. Database has a lot of built in data features taht are really handy when dealing with time series data that a lot of other databasess don't have. The database is also very efficient at storing the information on disk in a very compact manner.
What do you dislike about the product?
Having to deal with cardinality and memory consumption can be a challenge. This has created some limitations for us where we have to be careful about what all we put into InfluxDB to make sure that we can have a stable instance.
What problems is the product solving and how is that benefiting you?
Using InfluxDB to store telemtry information from thousands of machines and using the data for monitoring and reporting.
Recommendations to others considering the product:
If you're looking for a database to store and visualize time series data I think this is one of if not the best solutions available at this time; and it is open source which is really nice. The team has done a great job of not hamstringing useful features behind paid services which is really great to see.
InduxDB Production
What do you like best about the product?
Best part is telegraph and telegram technology
What do you dislike about the product?
Nothing as such I am happy.no comments here
What problems is the product solving and how is that benefiting you?
Problem was on monitoring part which I resolve with Influx DB and take benefits in time saving
Robust and scalable, yet easy to bootstrap TSDB
What do you like best about the product?
Easy to spin up, good documentation, very good performance and low resource usage.
What do you dislike about the product?
Advanced functions are not user friendly. Such as the variable retention rate implementation.
What problems is the product solving and how is that benefiting you?
Convenient storage of time series for easy retrieval and analytics. Also the write point protocol is very convenient to allow a variety devices to write data.
Recommendations to others considering the product:
Start with a small on premise setup along a cloud based solution then as your usage grows, decide between the two to achieve lowest cost implementation.
InfluxData review on gsviec
What do you like best about the product?
InfluxDB Open Source and it very fast and easy to config
What do you dislike about the product?
Nothing here, maybe need native support on kubenertes
What problems is the product solving and how is that benefiting you?
We use InfluxData to monitoring our server
Best Open Source Time Series Monitoring solution in the market.
What do you like best about the product?
I like Influxdb for my time series based monitoring. I have used some other tools in the past like Prometheus, but I liked Influxdb as it requires regular DB commands to manage and store data.
What do you dislike about the product?
One thing that I dislike about influx DB is that it has very limited features in the open-source version.
What problems is the product solving and how is that benefiting you?
Monitoring and IOT Based projects.
Recommendations to others considering the product:
Not any recommendations as such
Best time series Monitoring tool
What do you like best about the product?
I like the open source Influxdb, we use it for our in-house server monitoring
What do you dislike about the product?
Limited features in Opensource Influxdb database and also no automatic sharding of database
What problems is the product solving and how is that benefiting you?
Monitoring especially and also we use it to track our time series based IOT system prototype.
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