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Influx DB for Real time data Analysis
What do you like best about the product?
As all we all know influx is one of the best time series database we have now.Adding it's continuous query , retention policies features makes it more stronger than other TS DBs.
What do you dislike about the product?
There is no GUI for influx like we have for workbench in mysql.
What problems is the product solving and how is that benefiting you?
I suggested TICK stack APM in my organisation for application,host and container monitoring in real-time.
Influx Db i have used in my academic projects which were based on IoT.
Influx Db i have used in my academic projects which were based on IoT.
Recommendations to others considering the product:
Go for it , one stop solution for all your problem related to data storage, APM and timeseries data management.
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I used InfluxDB with Grafana to realize data visualization.
What do you like best about the product?
The continuous query is brilliant. It helps me make queries through several databases.
What do you dislike about the product?
I think InfluxDB should have functions like joining tables. Since InfluxDB does not support query over multiple measurements or multiple tags, I created a continuous query to collect data from A measurement and put it into B measurement.
What problems is the product solving and how is that benefiting you?
I solved the problem to record the number of requests received by my service. I used InfluxDB to realize calculating the ratio of good requests and all requests. Since graphite is deprecating, I use InfluxDB to record the time series data. When there is a marker received by the service and it is a duplicate one, a record with tag "cached" will be inserted into the InfluxDB measurement(equivalent to the table in MySQL). Otherwise, if the marker is a new one, a record with tag "new" will be created.
Managed service for Time Series data
What do you like best about the product?
Large supported programming language makes it fit in multiple scenario.
SQL like query language.
It can store string data also, as compared to other TS DBs which simply can't.
In-memory capabilities
SQL like query language.
It can store string data also, as compared to other TS DBs which simply can't.
In-memory capabilities
What do you dislike about the product?
It can't hold production load (metrics) from 1000+ servers. It has some real problems with data ingestion and ends up stalled and unusable.
What problems is the product solving and how is that benefiting you?
Problems:
Only one I've got so far, data with same timestamp and tag gets overwritten.
Benefits:
Can directly use the dataframe in multiple services like pandas, spark, etc.
Only one I've got so far, data with same timestamp and tag gets overwritten.
Benefits:
Can directly use the dataframe in multiple services like pandas, spark, etc.
Recommendations to others considering the product:
It's a very good managed service for Time Series data. Go for it.
A clean and easy to setup package, easy to customize
What do you like best about the product?
The best part was the customizations that could be done for retention policies, and the ease of creating new databases
What do you dislike about the product?
I did not find any major flaws though i can suggest changes for certain aspects in TICK stack
What problems is the product solving and how is that benefiting you?
I solved a problem for major airliner wrt to data reduction by using kapacitor and influxdb
Recommendations to others considering the product:
Go for it
Influxdb a timeseries database.
What do you like best about the product?
InfluxDB is a NoSQL timeseries database , It stores the data with respect to time . As it stores the data with time that's why it is very fast in performance because here time work as an index to retrieve the information.
What do you dislike about the product?
Till now everything is fine, I like influxDB very much.
What problems is the product solving and how is that benefiting you?
I am using TICK(Telegraf, influxDB, Chronograf, Kapacitor) Stack . I used influxDB as a noSQL database. Performance and scalability is good in influxDB.
I used influxdb for log monitoring of metrics.
I used influxdb for log monitoring of metrics.
Platform for real time analytics
What do you like best about the product?
I used this software and with the help of influx db i am able used time series database. It is good as go with real time analytics, storage etc.
What do you dislike about the product?
It is an open source, no need to pay any charges and no cons i have yet seen in influx db.
What problems is the product solving and how is that benefiting you?
It helps in business as per operation monitoring, data analytics, sensor data and many more.
Recommendations to others considering the product:
It is free as an open source so it will help you alot to learn. It is very fast and it also use time series database which is trending in market.
Platform for Application Monitoring
What do you like best about the product?
This is open source time series database that is developed by influxdb.I used this for real time data analytics.
What do you dislike about the product?
So far no cons i find in influxdb workbench.
What problems is the product solving and how is that benefiting you?
Solving real time businsss problem with the help of influx like metric data analytics and many more.
Recommendations to others considering the product:
For real time data analytics try to use influxdb workbench it is really helpful.
Best time-series database at any scale for metrics and event analytics.
What do you like best about the product?
InfluxDB is a simple but very powerful time-series database that is lightweight and can be used at any scale. This database can be easily mapped to Grafana a data visualization tool to display different types of analytics. I love how powerful Influx DB is compared to its competitors. The performance we were observing when running on low-cost cloud compute instances was second to none. For me, it was an overall smooth conversion and I am very satisfied with the overall experience. I did not encounter any major roadblocks during the implementation process.
What do you dislike about the product?
Nothing major to dislike about InfluxDB. It would be better if it has its own GUI to manage the database instead of using Linux based commands. Also, I wish it has some default graphical data visualization tool for analyzing and tuning the time-series data preparation. It has a simple UI to do some very basic operation but it would be awesome to have nice management GUI and I believe it is required to make this powerful DB more popular.
Another thing I've noticed a few times in 4 years of extensive usage is that the CPU usage went high to 100% for an unlimited time. Restarting the node is the only option I found.
Another thing I've noticed a few times in 4 years of extensive usage is that the CPU usage went high to 100% for an unlimited time. Restarting the node is the only option I found.
What problems is the product solving and how is that benefiting you?
I use InfluxDB to monitor various types of matrics of VMs, containers, services, web servers, networks and so on. This time-series DB helps me to track different types of events and event-based alerts. Using the Kapacitor of TICK stack it is very easy to monitor data real-time and generate alarms accordingly. We also track different types of user events on a timely basis. InfluxDB directly supports TICK script that helps to identify anomalies in the network of the datacenter.
Recommendations to others considering the product:
If you are doing time-series without InfluxDB, you are doing it wrong. I'm saying this because InfluxDB is built for solving problems related to time-series. Most of the other available options in the market are not purely built as time-series databases primarily.
This database can be easily mapped to Grafana a data visualization tool to display different types of analytics. Trust me, it's very easy to get started with InfluxDB. And the ROI is very good over time. You just need to focus and update your thoughts that are aligned to time-series architecture, a little bit different from traditional RDBMS or NoSQL.
This database can be easily mapped to Grafana a data visualization tool to display different types of analytics. Trust me, it's very easy to get started with InfluxDB. And the ROI is very good over time. You just need to focus and update your thoughts that are aligned to time-series architecture, a little bit different from traditional RDBMS or NoSQL.
InfluxDb is a Timeseries database and used to store the logs.
What do you like best about the product?
The data in influxdb is stored with respect to time and also there is no need to create schema of the table influxdb creates by its own.
What do you dislike about the product?
I like it very much, every this good till now.
What problems is the product solving and how is that benefiting you?
InfluxDB is easy to use, scalable and highly available that's why I preferred to use influxDb as a database. Also in influxdb data is store with the timestamp that's why it is very fast to retrieve any data from influxDb. I used influxDb with TICK Stack(Telegraf, InfluxDb, chronograf, Kapacitor).
InfluxDB Collects a Variety of Data for Presentation and Forecasting
What do you like best about the product?
InfluxDB is a breeze to set up, and administer. We had it up within minutes, and was pouring data into it not long afterwards. Additional instances were just as easy to create, and use cases presented themselves naturally through implementation, expanding past what we initially intended to collect.
What do you dislike about the product?
InfluxDB has some command differences from other DB languages, so there is a bit of a learning curve, albeit not an unexpected one. After tweaking queries within the associated Grafana installation, easy-to-digest displays were a breeze to create and use to demonstrate both internally to teammates and externally to stakeholders the health of our environment and needs to maintain said health.
What problems is the product solving and how is that benefiting you?
We are collecting data that would normally only exist in a real-time fashion, things such as temperature and humidity of datacenters, to traffic flows between particular high-priority network hosts, to performance metrics of high-priority servers. We can properly snapshot our environment to determine current health, and properly forecast how to maintain keeping said health in good standing
Recommendations to others considering the product:
InfluxDB works best when using a tool such as Grafana to display the data collected, and various agents such as Telegraf to collect said data from all necessary sources. All can be installed and configured with a very low time cost, and the benefits of having such a system in place are immediately evident.
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