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Opiniones de Cloudera Enterprise

Sobre Cloudera Enterprise

Cloudera ofrece una plataforma moderna para aprendizaje automático y analíticas optimizados para la nube.

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Puntos a favor:

No disponible

Contras:

No disponible

Valoraciones de Cloudera Enterprise

Evaluación media

Facilidad de uso
3,6
Atención al cliente
3,7
Funcionalidades
4,0
Relación calidad-precio
3,8

Probabilidad de recomendación

8/10

Cloudera Enterprise tiene una valoración global de 4,3 estrellas sobre 5 según las 9 opiniones de usuarios de Capterra.

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Carine Sylvie
Carine Sylvie
Virtual assistant en Benín
Usuario de Linkedin verificado
Servicios para el consumidor, 2-10 empleados
Ha utilizado el software durante: 1-5 meses
Fuente de la reseña

The best

5,0 hace 7 meses

Puntos a favor:

Probably the best data platform with various features.

Contras:

It requires significant hardware ressources and memory.

Usuario verificado
Usuario de Linkedin verificado
Banca, 10.000+ empleados
Ha utilizado el software durante: Más de dos años
Fuente de la reseña

Alternativas consideradas:

Prime Big Data Platform

4,0 hace 4 años

Comentarios: 1. Our bank is using Cloudera as the big data platform;
2. The overal experience is positive;
3. while due to the concern in point 3 of Cons, I don't think it is quite healthy;
4. platform is the biggest foundation of the system, the person design, configure and manage the platform is very important, i don't think the number of mature consultants is enough in the market. which make the foundation not very robust although maybe not that expensive initially.

Puntos a favor:

1. A complete package for the big data platform; 2. Combining the features of hortonworks after the two company merging; 3. A reasonable price; 4. The big community who are making enhancement frequently;

Contras:

1. The Open source nature makes it happen that some low-quality or non-consistent development result; 2. Some inconsistency between the HIVEQL, Spark and impala; 3. quick changes means not very stable; 4. Cloudera expects the clients to be able to setup , implement the big data platform themselves, while not always feasible.

Usuario verificado
Usuario de Linkedin verificado
Telecomunicaciones, 10.000+ empleados
Ha utilizado el software durante: Más de dos años
Fuente de la reseña

Great for data storage and processing, not so much for BI Analytics

4,0 el año pasado

Comentarios: Good support and flexible licensing structure, helpful sales team.

Puntos a favor:

High volume data processing and big data storage management

Contras:

Lacking BI and data analytics features needed for most big data projects

Usuario verificado
Usuario de Linkedin verificado
Internet, 2-10 empleados
Ha utilizado el software durante: Más de un año
Fuente de la reseña

very good application for data management

5,0 el año pasado

Comentarios: from my very good experience with Cloudera I would recommend

Puntos a favor:

cloudera is a very good application for enterprise data management, statistics tracking and data security

Contras:

since I've been using it I haven't had any complications yet

Suru
Suru
BigData Engineer en India
Usuario de Linkedin verificado
Tecnología y servicios de la información, 201-500 empleados
Ha utilizado el software durante: Más de un año
Fuente de la reseña

A stable cloud platform for your Big Data needs

4,0 el año pasado

Comentarios: Overall, it provides Big data analysis capabilities, Streaming services, BI services, ML services, Data Warehousing services for all kinds of business requirements to meet and solutions to build.

Puntos a favor:

Performs really well and maintains the whole Hadoop ecosystem being stable most of the times. Data Engineers, ML engineers, Data Scientists can use this platform to meet their business needs It can process large amount of data within a short span of time easily. Have used Cloudera VM Virtual box too to setup the Hadoop ecosystem and also the real-time file processing with good integration and AI capabilities within.

Contras:

It takes a lot of time when launching the Virtual Machine even after allocating ample resources to it, that makes it launch again and again causing delay and waste of time. Documentation understanding is on the higher side as it cannot be understood for newbies in the first go. Lastly, very limited customization options provided.

Aysan
Big Data Engineer en Canadá
Software informático, 10.000+ empleados
Ha utilizado el software durante: Más de dos años
Fuente de la reseña

A good big data platform for big enterprises

4,0 hace 4 años

Comentarios: Overall I think cloudera is a big player in this area and can extend its footprint if it provides more SaaS offering (especially in AWS and Azure)

Puntos a favor:

Cloudera is a very good system for big data and Hadoop projects on large scale projects. The support team is also very helpful and very interested to see your success

Contras:

Portability is still a big issue. When you start with one Big Data platform it is not easy to switch to other platform.

Aman
Student en India
Ha utilizado el software durante: 6-12 meses
Fuente de la reseña

best analytical tool for big data

4,0 hace 6 años

Puntos a favor:

This tool is very fast and simple. for big data it is very fast and very secure. Most data science solutions can be solved using this tool. large analytics algorithms can be implemented using this tool.

Contras:

for beginners this tool may create problem in getting started beacause the use cases are not well defined and can be documented in more detailed manner.

Usuario verificado
Usuario de Linkedin verificado
Educación superior, 201-500 empleados
Ha utilizado el software durante: Más de un año
Fuente de la reseña

All in one

5,0 hace 5 años

Puntos a favor:

All Big data environments (Hadoop, HBase, Mahout, PIG) are pre installed here

Contras:

The options it provides, it makes sense that the software is heavy weighted.

Abhay
EE. UU.
Ha utilizado el software durante: No especificado
Fuente de la reseña

Good tool to use for de-duping

4,0 hace 8 años

Comentarios: Got a reference from a former employee as it was big issue. We implemented it in no time and got it running. Both marketing and Sales Opes are using it to dedupe Contacts and accounts