Gartner’s newest research highlights four 2020 Cool Vendors in Data Management that offer innovative alternatives in the marketplace.
Analyst house Gartner, Inc. has released its newest research highlighting four emerging solution providers that data and analytics leaders should consider as compliments to their existing architectures. The 2020 Cool Vendors in Data Management report features information on startups that offer some disruptive capability or opportunity not common to the marketplace. Gartner analysts Robert Thanaraj, Julian Sun, Eric Thoo, Ehtisham Zaidi and Eric Hunter compiled the materials for this report.
Solutions Review’s editors have read the complete report, which is available here, and want to take the opportunity to provide a brief, independent introduction to each of the cool vendors listed. Though Gartner’s process for selecting Cool Vendors is somewhat mysterious, we believe our unique view of the space can help you to better understand how these data management solutions will fit into the marketplace as time goes on.
Cinchy offers a data collaboration platform that tackles enterprise application and data integration. The product was designed as a secure tool for solving data access challenges, and features real-time capabilities for data governance and solutions-delivery. Cinchy works by connecting fragmented data sources into its network architecture. The unique design enables what the company calls “autonomous data” which means that data managed within the platform is self-describing, self-protecting, self-connecting and self-managing.
CluedIn Data Fabric includes capabilities for an array of data management use cases and tasks. The product features schemaless graph modeling so models are automatically inferred from source systems. Data preparation capabilities provide users a quick view of what data needs fixing. CluedIn Data Fabric also includes data compliance through automatic masking and lineage tracking, metadata management with more than 30 built-in external data services, and the ability to track data quality through the entire workflow.
Inzata offers an AI-powered data exploration and data modeling platform. The product features capabilities to integrate, explore and analyze data of any kind and from a wide variety of sources. The tool’s proprietary AI-assisted modeling and patented analytics engine enables users to quickly load, blend and model raw and unstructured data into enterprise models. One-Click-Enrichments functionality lets users automate the process of data enrichment, and data visualization creation is customizable and includes real-time updates.
TigerGraph offers a graph database platform for enterprise applications. The product supports real-time deep link analytics for organizations with large data volumes. TigerGraph can be utilized for applications like IoT, AI, and machine learning to make sense of changing big data. The solution also provides personalized recommendations, fraud prevention, supply-chain logistics, and company knowledge graph. TigerGraph was developed from scratch using C++ and system programming concepts.
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