High Performance
InfluxData's InfluxDB is designed to handle high write and query loads, making it suitable for time-series data and real-time applications.
Open-Source
The core InfluxDB product is open-source, allowing for transparency, community contributions, and the option to self-host the database.
Scalability
InfluxDB offers horizontal scalability, enabling users to handle increasing volumes of data efficiently through clustering.
Built-In Data Processing
InfluxData offers integrated tools for data processing and scripting, such as Kapacitor for real-time processing and Flux for advanced querying.
Rich Ecosystem
InfluxData provides a comprehensive ecosystem including Telegraf for data collection, Chronograf for visualization, and Kapacitor for alerting and processing.
Time-Series Focused
InfluxDB is optimized for time-series data, offering specialized features like time-based retention policies, continuous queries, and downsampling.
Easy Integration
InfluxDB integrates well with many third-party data visualization and monitoring tools such as Grafana, making it easier to build end-to-end solutions.
Yes, InfluxData is considered good for dealing with time-series data.
We have collected here some useful links to help you find out if InfluxData is good.
Check the traffic stats of InfluxData on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of InfluxData on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of InfluxData's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of InfluxData on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about InfluxData on Reddit. This can help you find out how popualr the product is and what people think about it.
I would highly recommend using a proper Time Series Database like QuestDB or InfluxDB to do this instead. You can always export data from wither of those two into Excel if your boss wants it in excel, but it's much easier to do data transformations, create graphs and reports, etc. If you have all the data in a proper database. Source: over 4 years ago
I would suggest using something better suited to IoT data than ... a spreadsheet. I'd recommend looking at one of the Time Series Databases for this. 1) QuestDB or 2) InfluxDB as these are much better suited to streaming data. Source: over 4 years ago
InfluxData, broadly known for its flagship product InfluxDB, positions itself prominently within the sphere of time-series databases, along with being part of the broader categories of Big Data and NoSQL databases. Public perception of InfluxData appears to be largely favorable, especially among professionals dealing with time-series data, but it isn't without its criticisms or the complexities often noted in multi-database environments.
InfluxDB is particularly highlighted for its comprehensive TICK stack, which includes Telegraf for data collection, InfluxDB for time-series data storage, Chronograf for visualization, and Kapacitor for data processing. This suite is lauded for offering an out-of-the-box experience comparable to other sophisticated solutions like Grafana for real-time monitoring and analytics. Users appreciate this integration as it provides a cohesive environment for handling vast influxes of data generated over time, sourced from diverse networks and devices.
In dynamic environments like those involving LTE networks, maintaining consistency between multiple databases can introduce added complexityโan issue that InfluxDB users occasionally note. In contexts where InfluxDB is used alongside platforms like MinIO, problems such as data inconsistencies and the inefficiencies in querying across databases can pose reliability challenges. These intricacies highlight the importance of robust database management and careful architectural decisions when relying on hybrid environments with interconnected systems.
The platform's competition landscape includes notable players like TimescaleDB, Prometheus, and QuestDB, as well as broader cloud service databases from giants like Amazon and Google. Among these, InfluxDB holds a competitive edge due to its specific optimization for time-series data management, and it is often recommended for scenarios involving IoT data streams. Its efficiency in handling time-stamped data in real-time makes it a preferred choice among tech professionals who need to transform and visualize data with ease.
InfluxDB receives recommendations in community discussions for scenarios requiring more robust solutions than traditional spreadsheet software for handling IoT data. Its capabilities simplify the data transformation process and facilitate the creation of insightful reports and graphsโkey requirements in today's data-heavy environments.
Despite certain complexities in specific setups noted by users combining multiple databases, InfluxDB's overall perception in the tech community remains positive. It is seen as a powerful tool that effectively caters to the demands of handling time-series data, providing a significant advantage over generic databases not specifically tailored for temporal data insights. As it continues to evolve and address potential areas of friction highlighted by its user base, InfluxData may further solidify its standing in this competitive arena.
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Is InfluxData good? This is an informative page that will help you find out. Moreover, you can review and discuss InfluxData here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
