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Really good time series database
What do you like best about the product?
Load the database in background while using your system
What do you dislike about the product?
Less options available to capture the data in database
What problems is the product solving and how is that benefiting you?
Monitoring the server logs
Great Tech to capture events in real time with awesome caching mech.
What do you like best about the product?
1. astonished with the right and read among the distributed environment.
What do you dislike about the product?
Deletion / Updation of a record is quite a tedious process.
What problems is the product solving and how is that benefiting you?
Logging, Event Capturing, State management of micro-services.
Highly performant Time Series Storage Database
What do you like best about the product?
Great at quickly ingesting and querying a bunch of data. When it works, it works extremely well.
What do you dislike about the product?
Setting up clustering had its issues. Querying aggregations over large time periods is slower than something compared to BigQuery.
What problems is the product solving and how is that benefiting you?
Anomaly Analysis. InfluxDB has been very useful in zeroing in on causes for anomalies in our software.
InfluxDB is fast and easy to get up and going with..or industrialise when the need arises
What do you like best about the product?
What i like best is its ease of use. Its fast to get it up and running, configure and administer. Once you find that it works for you, it can be easily reconfigured to work at scale, tuned and optimised. Getting data into Grafana is just straightforward as can be!
What do you dislike about the product?
Not a lot to dislike. In the early versions backup was cumbersome but this has been sorted for some time.
What problems is the product solving and how is that benefiting you?
As mentioned its fast and easy to just throw data into and then analyse later with tools like Grafana. Its fascinating seeing what a bunch of numbers look like when graphed over time!
Recommendations to others considering the product:
Just try it... its so quick to get going with you'll be done by lunch!
My experience with InfluxDB
What do you like best about the product?
The simplicity of installation, configuration and development
What do you dislike about the product?
At the moment I don't have dislike about this product
What problems is the product solving and how is that benefiting you?
Well, I have used InfluxDB for two project:
- for the first project the problem was to have a time-series connected with a mosquitto; of course this problem was solved using InfluxDB a some little coding using python;
- the second project was to have a collection of all of the data related to my solar panels starting from 2012 till now. Also in this case I have created a little program with python in order to collect the historical data, then I have created a new program always in python to sync the actual and next data
- for the first project the problem was to have a time-series connected with a mosquitto; of course this problem was solved using InfluxDB a some little coding using python;
- the second project was to have a collection of all of the data related to my solar panels starting from 2012 till now. Also in this case I have created a little program with python in order to collect the historical data, then I have created a new program always in python to sync the actual and next data
Recommendations to others considering the product:
If you are a classic DBA or if your skill is only on rdbms, forget everything, in this way will be more simple to approach a InfluxDB
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.
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.
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