We created the following reviews after conducting an in-depth briefing with each vendor. Our analysis focuses on each product’s key differentiators and is designed to help companies create a short list of products to evaluate.
We created the following reviews after conducting an in-depth briefing with each vendor. Our analysis focuses on each product’s key differentiators and is designed to help companies create a short list of products to evaluate.
Coginiti is an AI-enabled collaborative workspace tailored to the needs of data engineers and analysts. Our mission is to empower organizations by helping them discover, create, and share data assets seamlessly, aligning with their natural workflow.
Headquartered in Atlanta, Coginiti provides a unified enterprise interface, bridging the gaps in data accessibility across distributed organizational structures. Coginiti seamlessly integrates with today’s major data platforms such as Amazon Redshift, Snowflake, Google BigQuery, Databricks, Yellowbrick, and object stores. Coginiti’s AI Assistant empowers data professionals of all skill levels to write, understand, and optimize work, accelerating data and analytic product development. Coginiti provides each user its own workspace and supports an embedded workflow to publish and store certified data products into Coginiti’s analytic catalog, making it easy to search and use them across the entire organization.
Coginiti offers three different products to support individuals, teams, and enterprises:
– Coginiti Pro is designed for individual data analysts, data engineers, and data scientists and costs $189 per user per year.
– Coginiti Premium is designed for teams that want to deliver insights faster by collaborating around a catalog of reusable stored objects and code that can be automated.
– Coginiti Enterprise is designed to scale out to thousands of users and includes cost management capabilities for connected data platforms.
Collaborative Intelligence – The Essential Shift for Creating a Data-Driven Enterprise
White Paper- Why Data Products are the Next Foundation for Empowered, Data-driven Companies
Tamr is AI-powered entity resolution software designed to streamline and automate the process of integrating diverse data sources within organizations. Using machine learning and human guidance, Tamr identifies, connects, and catalogs data from various siloed systems, facilitating a unified view that enables better analytics, decision-making, and operational efficiency. Its AI-driven approach accelerates data integration by resolving inconsistencies, eliminating redundancies, and maintaining data quality, ultimately empowering companies to derive meaningful insights from their data while reducing manual effort and time-consuming tasks associated with data unification.
Tamr employs a registry that stores metadata and lineage information, enabling users to track the origin and transformations of data across the integration process. Additionally, it creates “golden records,” which represent the best, most accurate version of data by merging and resolving discrepancies from multiple sources. These golden records serve as a single source of truth, ensuring consistency and reliability in data analysis, decision-making, and operational use cases within organizations. These master records become foundational data products or components that serve as building blocks for every application in the organization.
Instead of relying on a traditional master data management (MDM) system, which often involves complex and time-consuming manual data modeling and rule creation, Tamr’s platform automates much of this process. It identifies, aggregates, and resolves discrepancies within data from multiple sources, creating golden records that serve as a reliable, unified view of data. By using machine learning to handle the complexities of data integration, Tamr significantly reduces the need for manual intervention and the setup of separate MDM systems.