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Most Helpful Review
Teddy Elias
Find out what your peers are saying about Apache, Cloudera, IBM and others in Hadoop. Updated: January 2021.
457,209 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
"The features I find most valuable is that the solution is that it is easy to install and to work with. It starts with the installation and from there on the management is very simple and centralized.""The search function is the most valuable aspect of the solution.""Provides a viable open-source solution for enterprise implementations and reliable, intelligent data analysis.""We experienced many issues when we started working with Hadoop 3.0 in the Cloudera 6.0 version, so there are a lot of things that need to improve. I believe they are working on that.""In terms of scalability, if you have enough hardware you can scale out. Scalability doesn't have any issues.""The most valuable feature is Impala, the querying engine, which is very fast.""We also really like the Cloudera community. You can have any question and will have your answer within a few hours.""The most valuable feature is Kubernetes."

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"Eighty percent of the ETL operations have improved since implementing this solution.""The performance is very good and the aggregate records are fast.""Vertica's most outstanding features are the compression rates achieved and the speed of access of high volume data.""Allows us to take volumes and process them at a very high speed.""For me, It's performance, scalability, low cost, and it's integrated into enterprise and big data environments.""Speed and resiliency are probably the best parts of this product.""It has improved my organization's functionality and performance.""The solution has great capabilities. The tool that instructs the internal database forward is easy to use and is very powerful."

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Cons
"I would like to see an improvement in how the solution helps me to handle the whole cluster.""The user infrastructure and user interface needs to be improved, as well as the performance. The GUI needs to be better.""The solution does not support multiple languages very well and this means users need to create work-arounds to implement some solutions.""We experienced many issues when we started working with Hadoop 3.0 in the Cloudera 6.0 version, so there is a lot of things that need to improve.""The one thing that we struggled with predominately was support. Because it was relatively new, support was always a big issue and I think it's still a bit of an ongoing concern with the team currently managing it.""There is a maximum of a one-gigabyte block size, which is an area of storage that can be improved upon.""Without the big data environment, we cannot store all of this data live. We have billions of records and terabytes of storage to be used. It's not an option actually for us to have a big data environment.""The price of this solution could be lowered."

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"Fact-to-fact joins on multi-billion record tables perform poorly.""When it is about to reach the maximum storage capacity, it becomes slow.""Support is an area where it could get better.""Promotion/marketing must be improved, even though it is a very useful product at very good price, it is not as "popular" as it should be.""Some of our small to medium-sized customers would like to see containerization and flexibility from the deployment standpoint.""The geospatial functionality could be designed better.""We are looking for a cheaper deployment for the solution. Although we did a lot of benchmarks, like Redshift. We tried Redshift, it didn't work. It didn't work out for us as well.""They could improve on customer service."

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Pricing and Cost Advice
"When comparing with Oracle Sybase and SQL, it's cheaper. It's not expensive.""The price could be better for the product."

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"From a cost perspective, the software is less than most of its competitors.""It's difficult today to compete with open-source solutions. In these areas, there is a lot of competition and the price of this solution is a bit pricy."

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Questions from the Community
Top Answer: The most valuable feature is Kubernetes.
Top Answer: The price of this solution could be lowered.
Top Answer: SQreamDB is a GPU DB. It is not suitable for real-time oltp of course. Cassandra is best suited for OLTP database use cases, when you need a scalable database (instead of SQL server, Postgres)… more »
Top Answer: The performance is very good and the aggregate records are fast.
Top Answer: When it is about to reach the maximum storage capacity, it becomes slow.
Ranking
2nd
out of 22 in Hadoop
Views
4,949
Comparisons
3,339
Reviews
10
Average Words per Review
436
Rating
7.7
4th
out of 30 in Data Warehouse
Views
14,490
Comparisons
8,334
Reviews
7
Average Words per Review
478
Rating
9.1
Popular Comparisons
Compared 24% of the time.
Compared 10% of the time.
Compared 9% of the time.
Compared 9% of the time.
Compared 8% of the time.
Also Known As
Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
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Cloudera
Micro Focus
Overview
Cloudera Distribution for Hadoop is the world's most complete, tested, and popular distribution of Apache Hadoop and related projects. CDH is 100% Apache-licensed open source and is the only Hadoop solution to offer unified batch processing, interactive SQL, and interactive search, and role-based access controls. More enterprises have downloaded CDH than all other such distributions combined.

Micro Focus Vertica is the most advanced SQL database analytics portfolio built from the very first line of code to address the most demanding Big Data analytics initiatives. Micro Focus Vertica delivers speed without compromise, scale without limits, and the broadest range of consumption models. Choose Vertica on premise, on demand, in the cloud, or on Hadoop. With support for all leading BI and visualization tools, open source technologies like Hadoop and R, and built-in analytical functions, Vertica helps you derive more value from your Enterprise Data Warehouse and data lakes and get to market faster with your analytics initiatives.

To learn more about Micro Focus Vertica Advanced Analytics, visit our website.

Offer
Learn more about Cloudera Distribution for Hadoop
Learn more about Vertica
Sample Customers
37signals, Adconion,adgooroo, Aggregate Knowledge, AMD, Apollo Group, Blackberry, Box, BT, CSCCerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
Top Industries
REVIEWERS
Financial Services Firm43%
Computer Software Company21%
Marketing Services Firm14%
Healthcare Company7%
VISITORS READING REVIEWS
Computer Software Company33%
Comms Service Provider16%
Financial Services Firm8%
Media Company6%
REVIEWERS
Computer Software Company23%
Media Company19%
Marketing Services Firm16%
Comms Service Provider13%
VISITORS READING REVIEWS
Computer Software Company36%
Comms Service Provider16%
Financial Services Firm7%
Media Company7%
Company Size
REVIEWERS
Small Business26%
Midsize Enterprise19%
Large Enterprise55%
REVIEWERS
Small Business30%
Midsize Enterprise25%
Large Enterprise45%
Find out what your peers are saying about Apache, Cloudera, IBM and others in Hadoop. Updated: January 2021.
457,209 professionals have used our research since 2012.

Cloudera Distribution for Hadoop is ranked 2nd in Hadoop with 11 reviews while Vertica is ranked 4th in Data Warehouse with 7 reviews. Cloudera Distribution for Hadoop is rated 7.6, while Vertica is rated 9.0. The top reviewer of Cloudera Distribution for Hadoop writes "Open-source solution for intelligent data management and analysis". On the other hand, the top reviewer of Vertica writes "Superior performance in speed and resilience makes this a very good warehousing solution". Cloudera Distribution for Hadoop is most compared with Amazon EMR, Apache Spark, HPE Ezmeral Data Fabric, Cassandra and IBM Netezza Performance Server, whereas Vertica is most compared with Snowflake, Apache Hadoop, Teradata, Amazon Redshift and SQL Server.

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