Reveal the true nature of your file server data!
Leonovus Data Discovery Tool scans Server Message Block (SMB) network attached file storage and characterizes the data stored on it.
Data Discovery Tool is storage vendor agnostic and can work in a variety of environments. Use Data Discovery Tool to inventory your file servers by visualizing the types of files and the mix of active versus infrequently accessed data they contain.
The FREE Data Discovery Tool allows you to:
- Scan up to 50,000 documents and files per share
- Visualize your file storage profile
- Create reports that include the number of files and the amount of storage they consume according to file type and the date they were last accessed
- Generate and maintain reports for multiple file servers concurrently
- Create updated reports for each file server for comparison over time
- Download your reports
- Scan your servers safely. Data Discovery Tool indexes your data without modifying it
Data Discovery Tool provides the insight you need to develop a file storage strategy that addresses exponential data growth by tiering out infrequently accessed (“cold”) data. Leonovus Smart Filer enables transparent tiering of infrequently accessed (“cold”) data to cheaper cloud or secondary storage.
Data Discovery Tool builds a data analytics model of your file-based data serving environment. In doing so, it provides you with a full understanding of how much data is being served, the age and activity of the data and its composition. Essentially, it provides you with a profile of your stored data, what it is and how frequently it is being used.
For the time being, unrestricted use Data discovery tool is free. Only your time is needed to take advantage of this opportunity. Sensitive to this fact, the Data Discovery Tool was designed to easily fit into most corporate IT environments. Based on feedback from our clients, the majority of tool installations are operational and feeding valuable information in 30 minutes or less.
The tool installs in minutes. Once installed, running the tool is as simple as point, click and carry on with your day. Point it at the SMB (server message block) based file share, click to launch the analytics operation and then let it run unattended. The tool will continue to run in the background with no impact to active users or services.
The tool is capable of running multiple concurrent analyses in parallel. The Data Discovery dashboard allows you to see the progress of the analyses in real time and it will indicate when each analysis is complete. Once complete, you can study the data interactively through the dashboard or download the results for offline consideration.
Today the Data Discovery Tool is focused on the largest install base which includes:
- Server Message Block (SMB) or Common Internet File System (CIFS) shares, supporting SMB protocol version 2 or later.
In the near future, the tool will be expanded to include:
- Network File System (NFS) shares, supporting NFS 3 or later.
No, the tool’s discovery is silent and non-intrusive, showing no changes to the file metadata such as time of last access. Essentially, files are neither touched nor moved.
The Data Discovery dashboard allows you to see the progress of your analyses in real time and it will indicate when each analysis is complete. Once complete, you can study the data interactively through the dashboard or download the results for offline consideration. Each report is a snapshot of your data environment.
Now that you have knowledge of the data you are storing and the activity around the data, you are ready to take action to solve your most urgent storage problems. Whether your challenge is to:
- Off-load near or over capacity expensive primary servers
- Manage, organize and consolidate your data storage infrastructure
- Cut storage costs in the face of continuous data growth
For a challenge unique to your environment, the Leonovus Smart Filer is an easy to use product built to address these needs effectively and efficiently. Smart Filer lets you realize the cloud benefits of economy, elasticity and scale through automated and transparent information lifecycle management enabling and executing analytics-based policies for data offload or migration.