IT Central Station Announces Winners of its Inaugural Peer Awards Across 60 Categories

Winners were selected based on verified reviews that were published between January 1, 2020 – December 31, 2020, and an annual average of IT Central Station’s weighted ranking score.

IT Central Station, the leading technology review site in Cybersecurity, DevOps and IT, has announced winners of the 2021 Peer Awards, spanning across 60 categories. Peer Awards rank the world’s best tech products based on authentic, timely reviews from verified reviewers. Enterprise tech decision makers rely on IT Central Station’s in-depth peer product reviews and unparalleled peer-driven content to make well-informed, smart business decisions.

This year’s Peer Award winners were selected based on verified reviews that were published between January 1, 2020 – December 31, 2020, and an annual average of IT Central Station’s weighted ranking score. The product ranking score is calculated using a weighted algorithm, as explained in detail here.

This is the first year IT Central Station is giving Peer Awards to eligible companies. “This past year of COVID has led to a surge in the relevance of online reviews,” said IT Central Station’s CEO, Russell Rothstein. “We’re announcing our Peer Awards now because access to so much rich peer feedback has been transformative. We have achieved our ongoing ambitious goal of zero fake reviews. IT Central Station’s crowdsourced content is known for its depth and quality, with an average of over 600 words per review.”

About IT Central Station (now PeerSpot)
peerspot.com

IT Central Station (now PeerSpot) is the leading product review site for enterprise technology. The company has been called an “innovative platform at the forefront of the new social buying process” by IDC and the “Yelp for Enterprise Tech” by the Wall Street Journal. IT Central Station reaches over 22 million tech buyers who access and share unbiased product information and tap into a community of other real users in order to make the best buying decision.