Introducing Dataring Bridge
TL;DR
Dataring Bridge is a zero-copy data collaboration platform that makes secure data analysis between businesses or between business units easy, secure, and efficient, regardless of the cloud, database, or tech stack.
What is Dataring Bridge? Why do I need to care?
The influence of data has grown exponentially. Organizations, irrespective of size or industry, are trying to extract every ounce of insight they can from their data. But they often end up with a major problem—data is stored in different locations and sometimes even with different entities. Integrating this siloed data requires intricate data engineering approaches that involve numerous data tools, complex processes, architectural designs, etc. And if it is between organizations, then the complications increase, with privacy and IP protection becoming big concerns. In today’s post-big-data world, everyone needs data from everywhere, fast. That’s where Dataring Bridge can help.
Dataring Bridge: A Zero-Copy Data Collaboration Platform
Dataring Bridge is a zero-copy data collaboration platform that makes integrating siloed data, data sharing, and analysis between entities streamlined and secure. Bridge works irrespective of the cloud, database, or technological stack. With the Dataring Bridge platform, organizations can easily access, merge, and analyze data from multiple sources and collaborate securely while ensuring regulatory compliance all while protecting data IP. This eliminates the need for costly infrastructure upgrades and complex data architectures and data pipelines. By abstracting away the complexities of data integration, Dataring Bridge empowers organizations to focus on their core competencies—deriving insights, building predictive models, and driving better business.
Dataring’s key value propositions:
#1. Data Never Leaves the Host Environment
Dataring Bridge facilitates secure data collaboration without data leaving the host system. This helps businesses, especially those with stringent regulatory constraints, mitigate data governance penalties and data privacy concerns.
It also enables data provider organizations to protect their intellectual property (IP) while maximizing the value of their assets. Traditionally, these data assets would be wasted behind a myriad of legal hurdles. But Bridge enables you to monetize your data. Your data can now be made available through data marketplaces and to your partner organizations without it leaving your environment.
#2. Advanced Data Masking & Access Control Mechanisms
Data sharing or data collaboration can often raise privacy concerns. Especially when dealing with sensitive data sets that contain Personally Identifiable Information (PII) or confidential business data. Dataring Bridge can help address these concerns effectively by offering robust data masking and privacy controls.
Our advanced data masking features allow users to obfuscate or anonymize sensitive data elements. This includes redacting names, addresses, financial details, or any other information considered confidential or subject to regulatory compliance.
The platform also comes with granular access controls and configurable data governance policies, further enhancing privacy by ensuring that only authorized parties can access specific data sets based on predefined rules and permissions. This layered approach to data masking and access management safeguards sensitive data while enabling productive collaboration and data sharing with trusted parties.
#3. Infrastructure-Agnostic Operating Model
A major challenge organizations face when it comes to data analysis is the diverse technology stack. With digital transformation in full swing, most modern-day businesses operate with a technology stack that might comprise a mix of open-source components, commercial tools, and a variety of databases.
This heterogeneity often results in organizations having to rely on complex architectural designs to extract relevant data. Some even end up investing a lot of capital and resources in building complex data architecture designs encompassing each of these elements. Dataring Bridge helps organizations bypass this hurdle with its infrastructure-agnostic operating model.
It seamlessly integrates with existing systems, whether on-prem or in the cloud. It also supports a wide range of data sources, such as databases, data warehouses, data lakes, flat-files, etc. This flexibility ensures compatibility with current infrastructure investments, eliminating the need for complex data architectures.
#4. Enables Multi-Stakeholder Collaboration
Sometimes data initiatives require extensive collaboration between multiple stakeholders—both internal and external. Internal teams like sales, marketing, finance, and operations hold critical data. At the same time, external partners, vendors, or even cloud providers may possess complementary data sets that could enhance an analysis.
The overall process of compiling all these data sets from disparate sources comes with complex data-sharing agreements, building network pipelines to securely share data, and intricate querying mechanisms to extract data from each source. Dataring Bridge simplifies this entire process by allowing you to easily connect disparate sources while keeping control of the data with each data owner. And the best part is you can work on all stakeholder’s data simultaneously with a single query.
#5. Single Input for Downstream Analytics
Dataring Bridge can act as the single input for all downstream analytics processes and tools, simplifying architecture designs significantly. Data flows through multiple pipelines and undergoes various processes before it reaches analytics teams. And this data often resides in separate silos, forcing analysts and engineers to manually consolidate data from disparate sources.
Summary:
Dataring Bridge offers a comprehensive solution for analytics organizations looking to streamline data collaboration and sharing. By removing complexities, enabling secure collaboration, providing infrastructure flexibility, and offering robust data governance capabilities, it accelerates time-to-value and reduces costs.
Want to know more about Dataring Bridge and its capabilities? Reach out to us here. Or check out Dataring Bridge on Microsoft Azure Marketplace.
About Dataring:
We are a group of nerdy data enthusiasts trying to push the boundaries of data engineering by building data products designed for seamless usability. We are constantly evolving, embracing new challenges, and adopting unique approaches to redefine the way data is managed and analyzed.
To stay updated on our latest offerings, insights, and initiatives, visit our website or connect with us on LinkedIn.