Customers will be able to interact with their database using natural language thanks to the new text-to-SQL function in DBHawk, a database access tool developed by Datasparc. The company also announced its SOC 2 Type II compliance and an expansion of its partnership with IBM.
DBHawk is Datasparc’s handy database tool that lets different users accomplish a range of different database tasks. For instance, data analysts can use it to write and execute SQL queries against dozens of databases, including relational and NoSQL databases. Data engineers can use it to perform joins and schedule SQL queries. Administrators can also use it to create tables or views, among other capabilities.
Its new text-to-SQL feature lets users interact with SQL databases using natural language. It uses AI to convert the natural language query into SQL, which is then executed against the database. Datasparc says the feature will be useful for expanding database access to people who aren’t SQL experts.
Datasparc showcased the new text-to-SQL capability at the recent PASS Data Community Summit, which took place last month in Seattle, Washington. “We are thrilled to share our latest advancements in AI-powered data analytics at the PASS Data Summit,” said Datasparc CEO Manish Shah. “Our text-to-SQL AI feature is a game-changer, and we can’t wait to demonstrate its capabilities to the data community.”
The San Diego, California company also announced that it recently obtained SOC 2 Type II compliance, which indicates that it passed an audit by the American Institute of Certified Public Accountants (AICPA) that tested its privacy and security controls. DBHawk is available as a software as a service (SaaS) product, which makes the SOC 2 Type II certification especially important. It’s also available as an enterprise product that customers can install on-prem or in virtual private cloud (VPC) environments.
Lastly, Datasparc announced it has expanded its partnership with IBM. Becoming an IBM Partner Plus shows that its dedicated to supporting IBM customers, in particular customers running the z/OS mainframe and LUW (Linux, Unix, and Windows) versions of the Db2 database.
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