redirection.io VS Warp 10

redirection.io is a complete suite for optimizing your website traffic, user experience and SEO efficiency. It logs all the HTTP traffic of your website, displays nice dashboards to find errors and fix them in minutes. It is really fast and resilient, and can be installed on your infrastructure, without the need to target your DNS to the service.

It also features a website crawler for paid plans, which allows to find and fix issues in a matter of minutes.

Setup HTTP redirections

The "redirection assistant" helps building simple or complex redirection rules, which won't break your legitimate traffic. It is possible to test the impacts of newly created rules before they are published and applied to any production website.

Advanced SEO rules

redirection.io allows more than just redirections. The "actions" allow to override meta tags for a given page or a set of pages, add structured data, or completely manage the response headers!

You can also setup geo-redirects, drop illegitimate traffic, etc.

Performance and scale

The solution is highly performant and scalable, and can handle hundreds of thousands HTTP requests per second. It is installed and executed on your infrastructure, so there is no proxyfying performance impact.

Warp 10 is a modular open source platform that collects, stores and analyzes data from sensors. Shaped for the Internet of Things (IoT) with a flexible data model, Warp 10 provides a unique and powerful framework to simplify your processes from data collection to analysis and visualization, with the support of geolocated data in its core model (called Geo Time Series). Warp 10 offers both a time series database (TSDB) and a powerful analysis environment. The two components can be used together or independently. The Warp 10 Analytics Engine is based on a library of more than 1300 functions adapted to time series and on two analysis languages, WarpScript and FLoWS. This environment makes it possible in particular to perform statistics, extraction of characteristics for training models, filtering and cleaning of data, detection of patterns and anomalies, synchronization or even forecasts. The analysis environment can be implemented within a large ecosystem of software components such as Spark, Kafka Streams, Hadoop, Jupyter or Zeppelin. It can also access data stored in many existing solutions, relational or NoSQL databases, search engines and S3 type object storage system. Whatever your business, your data or your processes, Warp 10 fits your needs at any scale.