Cloudera Enterprise Data Hub vs Vertica

Likelihood to Recommend

Cloudera Enterprise offers the right mix of components to build a robust data platform which supports both reporting and analytics which can deal with all sorts of data.

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Rakesh Neelavar Rao

Sr. Development Engineer - Big Data Platform Architecture

QuaeroMarketing and Advertising, 51-200 employees

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Vertica as a data warehouse to deliver analytics in-house and even to your client base on scale is not rivaled anywhere in the market. Frankly, in my experience it is not even close to equaled. Because it is such a powerful data warehouse, some people attempt to use it as a transactional database. It certainly is not one of those. Individual row inserts are slow and do not perform well. Deletes are a whole other story. RDBMS it is definitely not. OLAP it rocks.

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Eva Donaldson

Business Intelligence Manager

iContactMarketing and Advertising, 51-200 employees

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Pros

One of the oldest distributors of enterprise standard Hadoop.
Distribution is based on open source Hadoop even though customizations are done on top of that.
Faster updates and bug fixes to the products as they have Apache committers.
Central configuration and control of your Hadoop platform (but still needs improvements).

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Verified User

Engineer in Information Technology

Computer Software Company, 501-1000 employees

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Extremely fast query performance - Vertica is one of the fastest query engines out there.
Scales to TBs - Scales reasonably well up to 10-20 nodes and 10 - 100s of TB of data.
Easy to Use - Fairly easy to user, we made quite some headway with just 1 person running it for a while.

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Praveen Murugesan

Engineering Manager - Ride Experience

UberInternet, 5001-10,000 employees

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Cons

As any new technology, difficult to hire resources who know the solution specially in APJC to help with Lab and PoC activities.

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Verified User

Team Lead in Professional Services

Computer Networking Company, 10,001+ employees

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Could use some work on better integrating with cloud providers and open source technologies. For AWS you will find an AMI in the marketplace and recently a connector for loading data from S3 directly was created. With last release, integration with Kafka was added that can help.
Managing large workloads (concurrent queries) is a bit challenging.
Having a way to provide an estimate on the duration for currently executing queries / etc. can be helpful. Vertica provides some counters for the query execution engine that are helpful but some may find confusing.
Unloading data over JDBC is very slow. We've had to come up with alternatives based on vsql, etc. Not a very clean, official on how to unload data.

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Traian Antonescu

Big Data Technical Director

CircleBack, Inc.Computer Software, 11-50 employees

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Likelihood to Renew

Cloudera Enterprise Data Hub 8.2

Based on 7 answers

Cloudera is expanding with varied range of products and it looks to me as a challenging company and very competitive in the Big Data market. I would recommend to using the latest stable version as new features are added with each version and different bugs are fixed. As Big data is a constantly evolving so trying new Cloudera products helps businesses to stay competitive in the market domain as every big organization is now trying to move to Big Data.

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Verified User

Engineer in Information Technology

Financial Services Company, 10,001+ employees

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No score

No answers yet

No answers on this topic

Support Rating

No score

No answers yet

No answers on this topic

Vertica 7.5

Based on 2 answers

I haven't had any recent opportunity to reach out to Vertica support. From what I remember, I believe whenever I reached out to them the experience was smooth.

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Verified User

Administrator in Information Technology

Entertainment Company, 1001-5000 employees

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Alternatives Considered

I have not evaluated any similar products, and in fact, don't know of any direct competitor. Amazon's Redshift has a similar spirit.

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Lois Garcia, GSEC

Senior System Administrator

TuneInInternet, 51-200 employees

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SAP HANA, Oracle, MySQL, and PostgreSQL are too heavyweight for achieving real-time latency requirements. Google BigQuery is limited to Cloud that makes hard to integrate with a large ingestion pipeline that may have both Cloud-based and on-prem components. Hadoop is much more complex to setup. Snowflake is again Cloud-based and is a new player so its reputation is not well known.

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Verified User

Analyst in Information Technology

Airlines/Aviation Company, 51-200 employees

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Return on Investment

The tools in Cloudera Enterprise have enabled us to perform seamless upgrades and monitor the clusters
Investing in the support enables us to engage with Cloudera to get access to required patches and backports in case of bugs which helps with wider adoption of open source software in the enterprise.
Voice of the customer enabled us to put forth requests for new features across various components.

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Rakesh Neelavar Rao

Sr. Development Engineer - Big Data Platform Architecture

QuaeroMarketing and Advertising, 51-200 employees

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The ROI on fast, interactive querying is very high.
Table size limitations force us to use other tools, slowing things down.
Relatively expensive pricing forces us to regularly upgrade our Vertica subscription and database. Each upgrade leads to a downtime of a few days.

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Verified User

Analyst in Marketing

Internet Company, 501-1000 employees

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Pricing Details

General

Free Trial

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Free/Freemium Version

Yes

Premium Consulting/Integration Services

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Entry-level set up fee?

No

General

Free Trial

—

Free/Freemium Version

—

Premium Consulting/Integration Services

—

Entry-level set up fee?

No