InfluxDB Cloud Serverless
InfluxData Inc.External reviews
107 reviews
from
and
External reviews are not included in the AWS star rating for the product.
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.
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.
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
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.
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.
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.
Great time series database with an easy to usy to use syntax
What do you like best about the product?
The syntax is intuitive and easy to learn, as it is very similar to standard SQL queries. Learning the different aggregations and advanced features takes some time, but afterwards they are very easy to use. Downsampling data points to a lower resolution and deletion of older data can be automated very easily and reliably. The data compression is amazing (among the best compared to other time series databases), with a single data point with timestamp generally being less than 10 bytes in total for long-term storage and they are continuously updating the storage engine for even better compression. Integration with other applications in the TICK stack is easy and seamless and allows for even more advanced manipulation of the data. Documentation is
What do you dislike about the product?
Debugging the application to determine optimal configuration settings for performance/load is tricky and the documentation regarding this is lacking.
What problems is the product solving and how is that benefiting you?
We use InfluxDB as our main time series database, holding data written from 100s of sources. This data can then be manipulated and requested back for business intelligence/machine optimization.
Recommendations to others considering the product:
Consider your database design carefully to minimize cardinality, since it can affect the performance of the system in a major way if this is designed improperly.
THE database for time series
What do you like best about the product?
This is the database to go for if you have time series to store. Optimized for that functionality with no bling bling features that have no relevance. I like that you can communicate with it with HTTP directly. Very useful for web applications. Also, the tags system is very useful to annotate your data without adding redundancy in your database. I like also the storage engine that do not take so much disk space to store a big amount of data, which is very useful for use cases like Internet of Things where you have to store multiple values per points in very small ranges of times (every 30s or less).
What do you dislike about the product?
The documentation states it as a CRud database, e.g. it is developed to Create and Read from it, but not really for Update or Delete, which is a logical thing to do in a time series database. But sometimes you want really to delete or update some points, which is not as simple as the word update/delete seems.
What problems is the product solving and how is that benefiting you?
The problem we solved with Influx is to never have to deal with time. It is automatically managed in a very cool way. You just throw the values at it and its done. This allows the developer to focus more in their server logic and have more time and effort to fix that without worrying about the data he is working with.
Recommendations to others considering the product:
You just need to look at their roadmap, as Influx is still in development.
showing 41 - 50