LLM-generated pages with certain obvious signs of being machine generated may be deleted without notice.
Submission declined on 17 April 2026 by Pythoncoder (talk).
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
|
CrashPlan is an American data backup and recovery company. It originated as a product within Code42 and became a standalone company in 2022 following a carve-out backed by Mill Point Capital. In 2024, CrashPlan acquired Parablu, a company focused on Microsoft 365 data protection.[1][2][3]
CrashPlan was developed within Code42, a Minneapolis-based software company. In 2014, the Star Tribune reported that Code42 had grown to about $40 million in annual revenue, mainly from CrashPlan.[4] In 2015, TechCrunch described Code42 as the developer of the CrashPlan enterprise backup tool.[5]
In 2017, Code42 discontinued CrashPlan for Home, its consumer cloud backup service, and shifted its focus to business and education customers.[6]
In 2022, CrashPlan was separated from Code42 in a carve-out transaction involving Mill Point Capital, after which it operated as a standalone company.[7][8]
In 2024, CrashPlan acquired Parablu. CRN reported that the acquisition added Microsoft 365 data protection technology and expanded CrashPlan's international reach.[9]
Informasi ini disarikan dari Wikipedia dan disajikan kembali untuk tujuan edukasi. Konten tersedia di bawah lisensi CC BY-SA 3.0. Kami tidak bertanggung jawab atas ketidakakuratan data yang bersumber dari kontribusi publik tersebut.
LLM-generated pages with certain obvious signs of being machine generated may be deleted without notice.
Instead, only summarize in your own words a range of independent, reliable, published sources that discuss the subject.
See the advice page on large language models for more information.