The Data Management Survey provides a detailed quantitative analysis of why customers buy data management tools, what they are used for, the problems they experience with the tools and how successful they are.
1.990,00 € plus statutory VAT
The Data Management Survey 24 is the fifth edition of BARC’s annual study into the market for data warehousing tools. It employs the same proven methodology as The BI & Analytics Survey and The Planning Survey, which have been conducted annually since 2000, setting out to analyze market trends and produce meaningful comparisons of competing products across a wide range of critical software and vendor-related criteria.
The Data Management Survey also provides a detailed quantitative analysis of why customers buy data management tools, what they are used for, the problems they experience with the tools and how successful they are.
21 data warehousing products from 16 different vendors are featured in The Data Management Survey 24. As well as products from well-known global giants such as Microsoft, Oracle and SAP, it also includes a number of specialist tools from smaller vendors.
Our analysis is based on a survey of 912 software users, consultants and vendors from all over the world, conducted from January to May 2023.
An overview and analysis of the most important findings and topical results from The Data Management Survey 24. This report covers the challenges faced with today’s data landscapes, approaches to tool selection, current trends in data management and more.
A series of executive reports on each of the 21 products featured in The Data Management Survey 24. Each report deals with a single product and contains a short vendor and product overview by BARC’s analyst team as well as a summary of the relevant product-related survey results.
Gain access to our powerful interactive online tool, enabling you to perform your own custom analysis of the full survey data set from The Data Management Survey 24. The survey is so thorough it would be impossible to write about all the results. The Analyzer gives you the opportunity to dig deep into the survey data for yourself and extract the information you need.
Co-Autoren: Kevin Petrie (Eckerson), Dan O’Brien
| Product name | Respondents |
|---|---|
| Alation Data Catalog | 33 |
| Amazon Glue | 21 |
| Amazon Redshift | 22 |
| AnalyticsCreator | 22 |
| Collibra Data Intelligence Cloud | 21 |
| dataspot. | 34 |
| Datavault Builder | 28 |
| Exasol Database | 21 |
| Google BigQuery | 21 |
| Microsoft Azure Data Factory | 26 |
| Microsoft Azure Synapse Analytics | 28 |
| Microsoft SQL Server | 94 |
| Oracle Database | 20 |
| PostgreSQL | 22 |
| Qlik Data Integration | 24 |
| SAP BW/4HANA | 30 |
| SAP Datasphere | 24 |
| SAP HANA | 20 |
| SAS Data Management | 24 |
| Snowflake Cloud Data Platform | 21 |
| TimeXtender | 23 |
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Timm Grosser is a Senior Analyst Data & Analytics at BARC with a focus on data strategy, data governance and data management. His core expertise is the definition and implementation of data & analytics strategy, organization, architecture and software selection.
He is a popular speaker at conferences and seminars and has authored numerous BARC studies and articles.
Jacqueline Bloemen is a Senior Analyst for Data & Analytics, focused on data & analytics strategy and culture, architecture & technology, governance and organization. She is an author and speaker, and has been advising companies of all sizes and industries for over 40 years.
Her current research and consulting activities are focused on the transformation towards data-driven business and data democracy. She has been with BARC since 2005.
Herbert Stauffer focuses on data & analytics strategy and architecture, organization and governance, quality and methodology.
He is the author of the books “Testen von Data-Warehouse- und Business-Intelligence-Systems” (dpunkt.verlag, 2013) and “Security in Data-Warehouse- und Business-Intelligence-Systemen” (dpunkt.verlag, 2018).
Herbert leads the TDWI Roundtable in Zürich, Switzerland and has more than 30 years of experience in Business Intelligence and Data Warehousing.
