Sold by: Datiphy Inc.
Deployed on AWS
DMC provides database auditing, regulation compliance, data security, and performance monitoring. DMC is equipped with a powerful search engine which utilizes machine-learning and pattern-matching technologies to help customers detect anomalies and protect sensitive data against internal threats and external hacks.
Overview
DMC provides database auditing, regulation compliance, data security, and performance monitoring functions. It gives a holistic view of the environment insight into risk behaviors, access anomalies, vulnerabilities and threats against data access. DMC is equipped with a powerful search engine that can correlate information of users and entities behaviors to give a full spectrum of data audit trails. Automated reports can be generated on a pre- defined interval and sent to designated individual or a group of people. Built-in alert systems will be automatically triggered when user behaviors violate pre-defined policies. Syslog and Email alerts can be forwarded to the IT monitoring platform and Security Operations Center (SoC) for data consolidation. DMC incorporates its patented technology DatiDNA which utilizes machine-learning and pattern-matching technologies to help enterprises secure the most sensitive data such as personal privacy data, intellectual property and financial information to prevent from the risk of data breaches.
Highlights
- Supports Oracle, SQL Server, Mysql, PostgreS, MongoDB, Tibero, RDS, Hive, HDFS, Web servers, Firewalls, and application servers
- Built-in Machine Learning Model detects abnormal behaviors of users, servers, and applications
- Ample data collecting methods, including network sniffing, host agent, inline, Restful API, and custom connectors, support most IT environments
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
OtherLinux 9.2
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
m4.4xlarge Recommended | $1.00 |
m6a.4xlarge | $1.00 |
m5a.4xlarge | $1.00 |
m5a.8xlarge | $1.00 |
m6a.8xlarge | $1.00 |
Dimensions summary
You pay by the hour based on the EC2 instance size you run. All five options bill hourly, so your cost scales with how long each instance stays active. The m4.4xlarge, m6a.4xlarge, and m5a.4xlarge options use 4xlarge-sized instances with different processor generations. The m5a.8xlarge and m6a.8xlarge options use larger 8xlarge-sized instances for higher-volume workloads. You choose the instance type that matches your compute needs. There are no upfront commitments; you pay only for the hours you use. The Datiphy Management Center supports single-point management across deployments.
Top-of-mind questions for buyers
Each dimension maps to a specific EC2 instance type. The 4xlarge options run on 16-vCPU instances across different processor generations. The 8xlarge options run on 32-vCPU instances for higher-volume workloads. You pick the instance size that fits your data transaction volume and compute demand.
You pay per running instance-hour. A fully stopped instance stops accruing software charges. Instances in stopped states may still incur underlying AWS storage fees, but the software meters running time only. There are no upfront commitments, so cost tracks the hours each instance stays active.
The Datiphy Management Center aggregates multiple engines for single-point management in complex or high-volume environments. For these deployments, the 8xlarge-sized options give more vCPUs to handle larger transaction volumes. The 4xlarge options fit smaller deployments. You match the instance size to your workload.
www.datiphy.com
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Support Intelligence Reports for compliance, security, and performance Updated MongoDB from DMC 8.5.0
Additional details
Usage instructions
- Subscribe the product by clicking "Try for Free" button in "Datiphy Data Management Center" page.
- Review all details in "Subscribe to Datiphy Data Management Center" page.
- Click "Subscribe" button in the bottom of the page. The request will be processing for a while.
- The message box "You successfully purchased Datiphy Data Management" pops up. Click the button "Launch your software".
- A new web page "Launch Datiphy Data Management Center" appears.
- Select the Launch method "One-click launch from AWS Marketplace". The method "Launch from EC2 Console" is another option.
- Select the appropriate option in the fields showing in "Setup" Area in to your AWS account. -- Region -- Number of Instances -- Instance Type -- VPC -- Subnet -- Security group -- Key pair
- Click One-click launch "Launch" button.
- The screen changes and shows "Summary" information. The EC2 instance should be initialized.
- To access the public IP address and EC2 instance ID of the DMC instance, click "View instance on EC2".
- Start a new browser page to enter the public IP address to reach the Datiphy Management Center login screen.
- The default login account is admin and the default login password is the EC2 Instance ID where DMC is installed.
- After logging into DMC successfully, It is recommended to change the admin password under System > Account.
- If it is necessary to use SSH to connect to the instance, please use the following information - SSH port: 22; SSH username: datiphyuser
Support
Vendor support
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