The Data Management Survey 19 Analyzer (free version)

Survey results KPI Dashboard Product Dashboard Product Comparison Documentation

Survey Results

This screen shows the responses to a single question in The Data Management Survey. You can choose the question in the dropdown box in the top left corner of the report. The filters to the left of the screen can be used to modify the chart.


Products (Premium Version Only)



No. of employees

User type


Which department do you work in?

N = 1012

KPI Dashboard

The KPI Dashboard allows you to compare product results by criteria (KPIs). For each KPI, values are shown for all the products in the peer group selected in the peer group filter. The peer group average is displayed as a gray bar. All products displayed above the gray bar are above average in the peer group, and those below the gray bar are below average. At the top of the screen, you can choose which KPI and peer group to analyze.

KPI filter

Peer group filter

Product Dashboard

This report shows a summary of the KPI results for a single product. The dashboard displays the results for aggregated KPIs in bold and the root KPIs in regular. Simply select a peer group and product in the filters at the top of the screen. The product filter will only display the products in the selected peer group. The peer group filter will only display the peer groups in which the selected product appears.

Product filter

Peer group filter

Product Comparison

This screen allows you to make your own short list of products and compare them directly against each other based on multiple criteria. First select a peer group that you want as the basis for the product comparison in the filter. Then select the relevant criteria (KPIs). Multiple KPIs can be selected in this filter. Finally select the products you wish to compare.

Peer group



About The Data Management Survey Analyzer

The Data Management Survey Analyzer web app is an interactive tool that enables you to perform your own custom analysis of The Data Management Survey data. The app contains results from all the questions asked in The Data Management Survey 19. Product-related results based on a series of important criteria (known here as KPIs – Key Performance Indicators) are also available to view.

Demographics: CountryCountry
Demographics: DepartmentWhich department do you work in?
Demographics: IndustryIndustry sector
Demographics: Number of product usersNumber of data management product users
Demographics: Number of employeesNumber of employees
Demographics: Percentage of product usersPercentage of product users in company
Demographics: PositionPosition in company
Demographics: RegionRegion
Selection: Chosen productWhich data management product would you like to review?
Selection: Reasons to buyWhy was the product chosen?
Product: RecommendationWould you recommend others to buy your data management product?
Product: TasksFor which tasks do you use your data management tool?
Product: SatisfactionTo what degree are you satisfied with your data management tool?
Product: Usage problemsWhat, if any, are the most serious problems in the use of your product?
Features: AdaptabilityHow would you rate the adaptability of your product?
Features: Availability of skilled usersHow would you rate the availability of skilled users of your product?
Features: Data accessibilityHow would you rate the data accessibility of your product?
Features: Developer productivityHow would you rate the developer productivity of your product?
Features: Maintenance efficiencyHow would you rate the maintenance efficiency of your product?
Features: PerformanceHow would you rate the performance of your product?
Features: Price-to-valueHow would you rate the price-to-value of your product?
Features: ScalabilityHow would you rate the scalability of your product?
Features: Support of compliance requirementsHow would you rate the support for compliance requirements of your product?
Features: Support for data governanceHow would you rate the support for data governance of your product?
Analytical database products

Analytical database products prepare, store and provide data for analytical purposes.

Data Warehousing Automation Products

Data warehouse automation products cover the data-driven or requirements-driven data warehouse design and implementation. They are mainly focusing on simplification of data integration and data modeling tasks by providing automatisms.

ETL Prodcuts

ETL products connect, extract, transform and load data from various source systems to a target system for analytical purposes.

Global Vendors

Global vendors have a sales and marketing reach through subsidiaries and/or partners which gives them a truly global presence. They are present worldwide and their products are used all around the world.

ProductNumber of answers
2150 Datavault Builder33
Informatica PowerCenter32
Microsoft Azure28
Microsoft SQL Server110
Microsoft SSIS49
Oracle Database32
Pentaho Data Integration30
Root KPIs
Product satisfaction
Developer efficiency
Time to market
Data access
Maintenance efficiency
Data governance
Skills availability
KPIShort explanation
Product satisfactionThis KPI is based on the proportion of users that say they are satisfied with their product.
RecommendationThis KPI is based on the proportion of users that say they would recommend the product to others.
Developer efficiencyThis KPI is based on how users rate their tool in terms of developer productivity, e.g., for testing, deployment, reusability, ease-of-coding and use of metadata.
Time to marketThis KPI is based on how users rate their tool in terms of adaptability (agility to adapt to new requirements).
Data accessThis KPI is based on how users rate their tool in terms of data accessibility (number and variety of data sources supported, quality of support/connectivity to data sources, ease of access to data, data transparency, data quality).
Price-to-valueThis KPI is based on how users rate their tool in terms of price-to-value ratio.
PerformanceThis KPI is based on user feedback about the reasons the product was chosen and complaints about the system’s performance.
ScalabilityThis KPI is based on how users rate their tool in terms of the ability to upscale/downscale automatically with data volume and various workload scenarios.
Maintenance efficiencyThis KPI is based on how users rate their tool in terms of complexity of system administration and optimization.
ComplianceThis KPI is based on how users rate their tool in terms of its fulfilment of regulatory requirements, e.g., transparency and auditing.
Data governanceThis KPI is based on how users rate their tool in terms of support for data governance, i.e. support of privacy/security, policy management, analysis and monitoring capabilities for data.
Skills availabilityThis KPI is based on how users rate their tool in terms of availability of skilled users within and outside the company.