InfluxData

“The solution should be for a purpose. If you want to do this kind of thing [manage time series data], InfluxDB is the best for it.”

“There are many projects at CERN that are using InfluxDB. The largest installation is with the monitoring of one of our data centers where we are using 31 instances of InfluxDB, ingesting over 1.6 TB of metrics a day.”

“If you are considering using tools for log analysis, InfluxDB is one of the best choices, because of the high ingest and performance. It gives you real-time log analysis and fast queries at a reasonable price, without the hassle of maintaining a huge log ecosystem. It also gives you a handy log visualization UI , so that you don’t have to build your own visualization tool and you can focus on your own system.”

“Flux is a sophisticated and very powerful querying language. We like that we can use it to aggregate our data.”

“We leveraged existing wireless infrastructure to deliver this value add, and InfluxDB enabled us to quickly and effectively develop our [rail] platform overcrowding solution.”

“InfluxDB is a foundation of any software built at BadShark. We build custom distributed messaging/email systems, and any SaaS we tried simply couldn’t handle the throughput. InfluxDB replaced any metrics/analytics/logging systems we are using, making it the first choice in software instrumentation.”

“We have become a highly data-driven company to constantly monitor and improve our products based on real-time data from field installations. It is InfluxDB, the time series database, that allows us to do that.”

“InfluxDB is helping Bboxx become a data-driven business. Instead of just selling boxes, we’ll soon be selling customers a pay-by-the-month plan. It’s the speed, reliability, and scalability of InfluxDB that is enabling us to move ahead with this more flexible and responsive plan.”

“On scalability, we wanted to grow from monitoring about 1,000 units at first to 20 million units by 2020. So we also needed the system to be reliable and stable while growing between those two points. And we needed it to be fast, both for data collection and querying.”

“InfluxDB makes time series data storage simple, it’s easy to install, easy to use, and the perfect tool for my project.”

“We were able to query our data in InfluxDB much faster than in OSIsoft — it was astronomically quicker.”

“InfluxDB’s query language is fantastic, Chronograf’s SSO with GitHub is great, Kapacitor configuration via Chronograf is brilliant, the list goes on! The TICK docker-compose example really helped us get started.”

“InfluxDB is special as it is optimized for huge data volumes with clever indexing.”

“We chose InfluxDB as the best times series database we could choose for storing millions of metrics.”

““InfluxDB is absolutely central to the Aporeto solution…It gives us the awesome performance profile that’s required for the huge-scale environments that our customers are putting us to use in, and the complexity is very low.””

“The combination of Grafana, InfluxDB and Telegraf is a winning one. It’s really easy to come up with use cases and the ease of displaying the data to leadership is wonderful.”

“To enable visualizing the data, you also need to enable storing data. You need to be able to extract that data to do something with it, whether to push it to an enterprise service, or use it for some form of reporting, or both.”

“InfluxDB provided a horizontally-scalable, time-series-optimized database with a lightweight agent that could be deployed anywhere we needed to push data to a central location.”

“Now we have that telemetry to come back to. Before if we had an underlying problem that we couldn’t pin down, it would be set aside with no solution, whereas now we can jump in and actually debug issues much faster.”

“InfluxDB has become our go-to database choice. Often if we are using a different tool, we figure out how to get data out of the tool into InfluxDB. It’s easier to use, performs better, and is cheaper.”

““We are very confident in InfluxDB. The system is so easy to install. It’s so easy to implement and to use.””

““I’m choosing a technology for the long haul.””

“Once we moved to InfluxDB Cloud and got really good at it, it’s allowed us to scale the amount of data and the varying types of data that we are able to collect much faster”

““I don’t want to be worried about building my own time series database. I don’t want to even be worried about managing my own time series database.””

“We just accidentally stumbled on it [InfluxDB]. And then we started looking at the different features it offered. And it was so much better in terms of what existed out there.”