Compare DataBuck vs. SG Analytics

Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.

SG Analytics is an industry leading data insights, research & AI analytics company. SGA provides data-centric market research and data analytics solutions across BFSI, Technology, Media & Entertainment and Healthcare industry. Established in 2007, SG Analytics is a Great Place to Work® (GPTW) certified company and has a team of over 1600 employees and has presence across the India, U.S., U.K, Switzerland & Poland. SG Analytics is recognized by Gartner, Everest Group, ISG, and featured in the Deloitte Technology Fast 50 India 2024 and Financial Times & Statista APAC 2025 High Growth Companies