Ataccama - Further Information

This paper discusses the trends in the data governance market, including assessing the leading vendors.

Bloor’s analysis of the Data Fabric market, assessing the leading vendors and showing you who the innovators, challengers and champions are.

Bloor Research publishes its annual assessment of the Data Quality market.

Ataccama is a fast growing data quality vendor with a modern and high performance suite of software.

Ataccama offers a sound foundation for a data fabric architecture.

The Bloor data governance market update covers trends in the market and assesses the innovators, challengers and champion vendors.

Bloor compare the data governance offerings of Alation, Ataccama and Collibra.

Ataccama has a full-function data governance tool at its heart.

Bloor publishes its annual assessment of the master data management market.

Bloor has published its Market Update for Data Quality 2023, covering the main trends in the market and assessing the key vendors.

This report describes the sensitive data discovery space and evaluates the vendors and solutions therein.

Ataccama ONE is a data management platform that can, among other things, be used to create a data fabric within your environment.

This market update is an overview of the Master Data Management (MDM) market in 2022, covering leading vendors, market dynamics and current trends.

Market Update of the Data Quality Enterprise Software Market in 2022, including data profiling, merge matching, data enrichment, data cleansing, monitoring.

This report summarises the current state of the master data management (MDM) market at a high level, assessing the leading vendors in the space.

This (Cloud) Data Management report compares platform-based approaches that support data integration to/from cloud-based deployments.

Ataccama ONE encompasses data integration, data cataloguing, data profiling and data quality, and both reference and master data management.

This report is about assuring the quality and provenance of your data from both internal and external perspectives.

By data quality we mean both data cleansing (matching, deduplication, error correction, enrichment et al) as well as data profiling and discovery.

While there are trends towards including more discovery capability and towards supporting NoSQL the vendors are significantly fragmented at present.

The second of four Market Updates on data discovery, data profiling, data cleansing and matching, and data quality platforms respectively.