Resumen de precios de Experian Aperture Data Studio
Precios y planes de Experian Aperture Data Studio
Alternativas de Experian Aperture Data Studio Mejor Valoradas
Precios de alternativas de Experian Aperture Data Studio
A continuación se muestra una descripción general rápida de las ediciones ofrecidas por otros Herramientas de Calidad de Datos
 Start | Contáctanos | Todo lo que necesitas para hacer que los datos sean confiables para un equipo.
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 Free | Gratis | Acceso gratuito a los módulos de Importación, Exportación, Eliminación y Verificación de DemandTools.
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 Starter | $1.001000 Records Por mes | Por cada 1,000 registros, facturado anualmente. El precio se basa en el número total de registros en la base de datos. Uso ilimitado, usuarios, operaciones. Los planes se basan en el número total de registros en las aplicaciones que están conectadas a Insycle.
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Varios precios y planes de alternativas
Reseñas de precios de Experian Aperture Data Studio
The ease-of-use for data preparation tasks, such as exploration, profiling, parsing, validation, cleansing, enhancement and similar data quality techniques. There is also very advanced features, such as dependency analysis and entity resolution.
Aperture speeds up ad hoc analysis, data preparation and similar tasks dramatically in comparison to hiring a data engineer to do the task. More importantly, data engineers often do not know what to look for and they need detailed specifications. Therefore, Aperture brings data to business users, analysts and architects who know the business and objectives reducing the need for long problem solving projects and sprints and epics. The tasks that would be several sprints or even epics in traditional code-based development, were done in days. Aperture can be used to monitor CRMs, cleanse transfer files, validate compliance, analyse newly found data anomalies conserning business users and much more. Reseña recopilada por y alojada en G2.com.
The pricing has been a problem without significant discounts. At the same time, if a company has to hire continuously external consultants, they will save a significant amount of money by investing to a tool like this and doing things by themselves or turning typical consultant assignments from months to days. It happened to me too so consulting houses might not like it. Customers can do a lot after seeing a few first projects and then just order extra work now and then for wider or truly complex needs.
Another drawback is also that this does not scale to use cases like true big data and iot streaming data with full devops practices. Therefore, ICT departments might prefer other tools while data governance and management offices working with business might prefer Aperture. Tens millions records are just fine but true big data has massive scalability requirements. Yet, choosing a tool meant for data engineers working with big data does not provide advantages like Aperture. You end up working with slow sprints, endless communication rounds, and costly ICT-heavy projects.
Choose a tool and experts for your needs and test them beforehands. Reseña recopilada por y alojada en G2.com.
