DBHawk developer Datasparc has entered into a brand new partnership with Microsoft that can improve its clients’ means to work with knowledge within the Azure cloud. The San Diego-based firm has additionally secured a brand new patent for a way of detecting delicate knowledge, which ought to assist clients keep away from inadvertent knowledge disclosures.
DBHawk is an all-in-one database administration and safety instrument gives a variety of database features for various customers. Information analysts can use it to put in writing and execute SQL queries in opposition to dozens of databases working on prem or within the cloud, whereas knowledge engineers can use it to carry out joins and schedule SQL queries. It even be utilized by admins to masks knowledge or audit database entry by customers.
Datasparc’s partnership with Microsoft Azure will prolong the attain of DBHawk deeper into Azure and supply clients with the flexibility to view, question, analyze, and handle knowledge saved within the Azure SQL Database from the consolation of Net browser. Datasparc has additionally labored to combine DBHawk into Azure in a number of methods.
As an illustration, integration with Azure Energetic Listing will give enterprise customers a single sign-on expertise, whereas assist for Azure Key Vault integration will give customers the flexibility to securely retailer their delicate credentials like passwords and API keys, Datasparc says.
The corporate has already landed Azure purchasers, together with a number of Switzerland-based insurance coverage firms which can be utilizing DBHawk to securely entry their personal knowledge from Azure SQL Database, Datasparc says. With the Azure partnership in place , the corporate expects extra clients.
Datasparc CEO Manish Shah expressed his enthusiasm relating to the strategic partnership with Microsoft, noting that their database product DBHawk gives safety, administration, governance and analytics inside one platform.
“With Microsoft’s intensive attain, our clients can quickly and securely entry knowledge from any cloud surroundings whereas remaining cost-effective,” Shah mentioned. “This can be a nice alternative for purchasers to transition into cloud expertise at an accelerated tempo.”
Datasparc additionally introduced that it has been awarded a patent for a novel methodology of detecting whether or not a system incorporates delicate knowledge after which provisioning restrictions on techniques which can be discovered to comprise delicate knowledge. In response to the web site JUSTIA, US Patent No. 11593514 was granted to Shah and Datasparc on February 23 of this yr.
Datasparc’s patent describes a way accessing database or a file system by way of drivers or API, after which scanning it for delicate knowledge. In response to the submitting, a number of strategies are used to detect delicate knowledge, together with specific lengths of knowledge strings (similar to 16-digit fields); specific sequences of knowledge components throughout the knowledge (similar to two numbers adopted by a ahead slash and two extra numbers); specific combos of knowledge attributes which will allow the appliance to acknowledge names, addresses, PINs, CVVs, cellphone numbers, e-mail addresses; and specific knowledge already recognized to comprise delicate info.
Datasparc’s software program may use machine studying to acknowledge recognized knowledge attributes and related knowledge standards. It additionally could use ML to find out the suitable approach to shield the delicate knowledge as soon as its presence has been detected.
DBHawk helps greater than a dozen databases, together with AWS’s Amazon Athena and Redshift, Apache Cassandra, Google Cloud BigQuery, MongoDB, MySQL, MariaDB, Microsoft SQL Server, Oracle database, PostgreSQL, SAP HANA, Snowflake, Teradata, and Vertica, amongst others.
DBHawk could be deployed on the cloud, on-premise, or utilizing a hybrid setup. DBHawk could be deployed on VM, Docker, or Kubernetes. For extra info, see www.datasparc.com.
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