The cloud has become the default deployment option for databases in 2021, giving companies more ways to store their data. This cloud migration is proving to be a boon for DataSparc and its DBHawk tool, which lets users access multiple database from a single location, including Redshift and now Snowflake.
DBHawk was designed to enable customers to query data wherever it sits, whether it’s a relational database or a NoSQL data store, and whether it’s running on prem or in the cloud. With so many new databases popping up in the cloud, the company is seeing demand for its product grow, according to Manish Shah, the founder and CEO of Datasparc.
“Many customers are looking for tools to access databases running on premise and cloud such as AWS RDS, Redshift, and Azure SQL,” Shah tells Datanami. “Besides DBHawk, there is no single tool that works with hybrid infrastructure and provides secure database access via SAML, ADFS, and AD authentication methods.”
Earlier this year, DataSparc became a select technology partner at Amazon Web Services, meaning DBHawk was given AWS’s blessing to access Amazon Relational Database Service (RDS) and Amazon Redshift, its hosted data warehousing solution.
The San Diego, California-based company is also now supporting Snowflake, giving its users the capability to query one of the fastest growing cloud-based data warehouses.
In addition to AWS databases and Snowflake, DBHawk supports Cassandra, MongoDB, Oracle’s eponymous database, Microsoft SQL Server, Postgres, MySQL, SAP HANA, Vertica, and Teradata databases, among others.
Currently, the company is developing a new feature that will streamline the configuration of access to databases. Currently, database administrators must do some manual configuration to enable Datasparc users to access selected data sets.
The company wants to use machine learning technology to identify sensitive data sets, such as credit card information, that should be excluded from data access policies. The software will make suggestions to the administrator regarding which pieces of data to avoid, and then the administrator approves or rejects the change.
In addition to protecting sensitive data from Datasparc’s power tool, it will also help customers comply with industry regulations, such as FISMA, FERPA, GDPR, HIPAA, and PCI.
DBHawk is a browser-based tool that’s used for ad hoc reporting, as well as for online SQL editing. Datasparc offers it under an enterprise license, whereby customers run it on their own servers, as well as though a SaaS subscription. For more information, see the company’s website at www.datasparc.com.
Related Items:
December 20, 2024
- Reltio Recognized as Best-of-Breed Representative Vendor in 2024 Gartner Market Guide for Master Data Management Solutions
- CapStorm Releases Salesforce Connector Offering Seamless Data Integration with Snowflake
- LogicMonitor and AppDirect Partner to Bring Hybrid Observability Solutions to IT Service Providers
- Patronus AI Launches Small, High-Performance Judge Model for Fast and Explainable AI Evaluations
- Equinix Unveils Private AI Solution with Dell and NVIDIA for Secure, Scalable AI Workloads
December 19, 2024
- Hydrolix Reports Technology Partner Ecosystem Momentum
- EQTY Lab, Intel, and NVIDIA Introduce Verifiable Compute AI Framework for Governed AI Workflows
- NeuroBlade Empowers Next-Gen Data Analytics on New Amazon Elastic Compute Cloud F2 Instances
- Quantum Announces Support for NVIDIA GPUDirect Storage with Myriad All-Flash File System
- Kurrent Charges Forward with $12M for Event-Native Data Platform
- Timescale Details PostgreSQL’s Growing Adoption Across Industries in 2024
- Altair Enhances RapidMiner with Graph-Powered AI Agent Framework
- Esri Releases 2024 Update of Ready-to-Use US Census Bureau Data for ArcGIS Users
December 18, 2024
- Qlik Shares 2025 AI and Data Trends: Authenticity, Applied Value, and Agents
- Domo Releases 12th Annual ‘Data Never Sleeps’ Report
- Dresner Advisory Services Publishes 2024 Embedded Business Intelligence Market Study
- Starburst Helps Arity Streamline Data Insights with Scalable Lakehouse Architecture
- Vultr Expands Global Reach with New Funding at $3.5B Valuation
- Ataccama Extends Generative AI Capabilities to Accelerate Enterprise Data Quality Initiatives
- Menlo Ventures Announces Cohort Backed by $100M Anthology Fund Launched in Partnership with Anthropic