Tiger Technology, maker of Tiger Bridge, today announced it has made it to the prestigious list of globally managed Microsoft Azure Archive Storage Partners (https://azure.microsoft.com/en-us/services/storage/archive).
Tiger Bridge is a software connector that enables any Microsoft server to integrate Azure Blobs as an active tier of its local storage infrastructure. This efficient approach lets on-prem users and applications gain transparent access to and work with files that are stored in the cloud.
“Given the large number of software companies working towards facilitating the adoption of cloud storage within corporate data centers,” said Alexander Lefterov, CEO of Tiger Technology ”we are thrilled to see Microsoft recognizing the forward looking, strategic, and unique value Tiger Bridge brings to the Azure eco-system.”
Tiger Bridge extends a server’s live NTFS volume(s) seamlessly into the cloud. Unlike cloud gateway server technology, it does not require data centers to interact with a new and distinct mount point. Tiger Bridge thereby overcomes one of the main objections raised by organizations that are reluctant to modify their established and proven data flow.
“Traditional cloud gateway solutions put unnecessary stress and burden on IT personnel, as someone must still figure what, when and how data should be moved from existing application servers to the cloud” states Nikola Apostolov, Director of Sales at Tiger Technology. “Tiger Bridge relies on simple policies to automate the data movement between the application server’s local drive and the various Hot, Cold and Archive tiers of the Azure cloud.”
Using easy-to-use lifecycle management policies, Tiger Bridge enables the local storage infrastructure to scale-deep (i.e. towards archive). Stale files can automatically be substituted with stub-files in order to free up local space. When stub files are accessed, data is automatically retrieved from the appropriate cloud tier. As such, a local drive of just a few terabytes can now provide users and applications seamless access to petabytes of tiered data, completely eliminating the need to provision additional local storage.
Tiger Bridge also enables organization to more easily mine their valuable data, something other gateway servers do not allow. By storing data in a non-opaque form, Tiger Bridge allows it to be manipulated within the cloud by a wide variety of software services. Data processing, mining and analysis can be readily performed using tools such as Machine Learning, HDInsight, Azure Data Lake, PowerBI, etc. Organizations can learn from behaviors and detect patterns using platforms such as Cloudera, Hortonworks, and Informatica.
Some practical examples of supported cloud processing include:
- Machine learning to scan PII data
- Transcoding of video files into multiple resolutions
- Media services to perform QC on recorded content
- Data mining and analytics for predicting customer behaviors
- Cognitive services to detect mood, age, gender, etc.
- Biometrics processing (fingerprints, faces, etc).
- Image and voice recognition
- Analysis of logs to detect intrusions and security threats
A great case study for the possibilities of Tiger Bridge is its deployment at NAVA (https://www.nava.hu). They must maintain fast on-prem storage to ingest and then perform noise and scratch removal as well as color correction at the highest possible resolution on a huge collection of film and video material. After treatment, media files are seamlessly pushed to the Azure cloud, where they are transcoded into multiple resolutions and streamed around the world. This way Tiger Bridge lets editors maintain easy access to the entire library of archived material through their local drive.
Tiger Bridge version 2.0 is now shipping and is available through a network of authorized resellers. For inquiries, please contact email@example.com.