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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.
awsome time serise database
What do you like best about the product?
linfluxdb has a greate capability to write huge data and very good speeds while reading data.
What do you dislike about the product?
cluster features are not available in the community edition.
What problems is the product solving and how is that benefiting you?
to present the time series data in dashboards.
Solid Time Series DB!
What do you like best about the product?
This DB sets up time series data in a way that I've always dreamed of making myself - but does it better! You start by filling the database with as much data as possible, that you never intend directly query. Then you setup some reduction policies so that that data gets downsampled into something that is queried at an application/reporting level, with a significantly downsampled dataset. Then, depending on your needs, you can set expiration for your data so that big massive data insert you originally setup doesn't stick around.
What do you dislike about the product?
Getting started is a little bit rough. There is a lot of good articles, but it simply requires you to dive into their deep end.
What problems is the product solving and how is that benefiting you?
We use InfluxDB to store systems analytics, user data, and server resource monitoring. We also use it for business analytics for how our users consume our platform. All on 1 machine, for now. We are looking to create a cluster soon.
Recommendations to others considering the product:
If you need a Time series Database that just works, pick InfluxDB.
Does not scale
What do you like best about the product?
Flexibility -- you can add database columns on-the-fly at run-time.
UDP or TCP -- go with UDP for efficiency or TCP for guaranteed delivery.
Easy time series data -- that's what it's made for.
UDP or TCP -- go with UDP for efficiency or TCP for guaranteed delivery.
Easy time series data -- that's what it's made for.
What do you dislike about the product?
Poor performance -- queries to check data would often timeout and fail.
Limited SQL -- very limited SQL syntax was frustrating -- queries from Internet could not be copied and pasted.
Unreliable -- could not handle all of are data, so we throttled and threw away most of the data, defeating the purpose.
Too flexible -- too easy to accidentally create duplicate columns. It's like going back to BASIC programming days where variables don't have to be declared.
Limited SQL -- very limited SQL syntax was frustrating -- queries from Internet could not be copied and pasted.
Unreliable -- could not handle all of are data, so we throttled and threw away most of the data, defeating the purpose.
Too flexible -- too easy to accidentally create duplicate columns. It's like going back to BASIC programming days where variables don't have to be declared.
What problems is the product solving and how is that benefiting you?
We used it for logging information from mobile apps. Arguably it is not a logging product, but a series of log messages is a time series as far as I am concerned.
The logs did help us troubleshoot problems -- when we could get the SQL syntax to work and not time out.
The logs did help us troubleshoot problems -- when we could get the SQL syntax to work and not time out.
Recommendations to others considering the product:
Be sure it is fit for your purpose and can handle enough data before you commit to the tool
Influx DB for operational monitoring
What do you like best about the product?
Easy to setup and customize, no performance issue so far (monitoring millions of events daily).
Has proven to scale without having to resort to technical wizardry.
Has proven to scale without having to resort to technical wizardry.
What do you dislike about the product?
Nothing. INFLUX DB does what it is supposed to do.
What problems is the product solving and how is that benefiting you?
Operational monitoring. Facilitates an agile introduction of additional monitoring, independently of the actual source, format and protocols of the information source.
A good choice for timeseries data
What do you like best about the product?
The most thing I liked was the ability to store very big timeseries data in very efficient way. In my case, we stored relatively big data with single node which uses casual compute and storage resources
What do you dislike about the product?
Although influxdb core is open source and free, using it in production and at scale will require a very expensive license. For example, clusters are only available in InfluxEnterprise which was costy for us in early development phase.
What problems is the product solving and how is that benefiting you?
We use it to store our infrastructure health and usage metrics. The most benefit in this use-case was the good support for tool-chains.
Recommendations to others considering the product:
Influxdb is designed to store timeseries data, not anything else. If you data nature is a timeseris that can be displayed in line graphs so go for influxdb, otherwise it may not be the best fit. Influxdb don't have *good* support for strings, and no support for booleans nor nested documents. So double check your data is a timeseries, and you will require lots of time-based queries.
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