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Opera Adds Streaming Music To Data Savings With Opera Max

T-Mobile may be offering its subscribers music freedom to save on data while streaming tunes from services like Pandora, Play Music Unlimited and more, but for anyone else there are still other ways to save on streaming music so you aren’t eating up as much data as you would normally. Opera, the company behind the popular browser for Android devices as well as desktop, has announced a new feature for their Opera Max app that allows users to save on data consumption for music streaming. Opera Max is wholly aimed at helping users cut back data usage by assisting them in managing it.

Opera had already added the capabilities to save data while watching streaming video, and with music now being part of the mix users who don’t have an unlimited data package have a way to keep their data use lower than before, as Opera Max uses Rocket Optimizer to help power their streaming audio optimization technology. Opera Max’ data savings works for multiple services too, so whether you stream your music using services such as YouTube Music, Pandora, Saavn, Slacker Radio, or Gaana, Opera Max can help in keeping the data use low for these apps. In addition, users can still also save on data consumption with videos through apps like Netflix and YouTube. According to Opera, users can now save up to 50 percent on data, allowing them to stretch their data for twice as long should they need to.

Opera Max’ data savings features work on both cellular network connections and on WiFi, so you can keep saving data no matter where you are. Alongside helping users save on data consumption, Opera Max also allows users to check their app usage stats so they can see which applications are eating up the most data, and see how much data was used overall on both mobile networks and over WiFi so they have a better picture about what their consumption is like. There is also a handy set of controls to block certain apps which use up data in the background just in case you feel like you’re going through more data than you should be.