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Top Rated
136 Ratings
21 Ratings

Amazon Redshift

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Top Rated
136 Ratings
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Score 8.1 out of 100
21 Ratings
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Score 7.8 out of 100

Likelihood to Recommend

Amazon Redshift

If the number of connections is expected to be low, but the amounts of data are large or projected to grow it is a good solutions especially if there is previous exposure to PostgreSQL. Speaking of Postgres, Redshift is based on several versions old releases of PostgreSQL so the developers would not be able to take advantage of some of the newer SQL language features. The queries need some fine-tuning still, indexing is not provided, but playing with sorting keys becomes necessary. Lastly, there is no notion of the Primary Key in Redshift so the business must be prepared to explain why duplication occurred (must be vigilant for)
Arthur Zubarev | TrustRadius Reviewer

Vertica

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.
Eva Donaldson | TrustRadius Reviewer

Pros

Amazon Redshift

  • Redshift is fully managed. Small teams do not have the resources to maintain a cluster. CloudWatch metrics are provided out-of-the-box, and it is easy to configure alarms.
  • Redshift's console allows you to easily inspect and manage queries, and manage the performance of the cluster.
  • Redshift is ubiquitous; many products (e.g., ETL services) integrate with it out-of-the-box.
  • Writing .csvs to S3 and querying them through Redshift Spectrum is convenient.
Gavin Hackeling | TrustRadius Reviewer

Vertica

  • 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.
Praveen Murugesan | TrustRadius Reviewer

Cons

Amazon Redshift

  • It could benefit from adding data integrity and programming tools common to other database management systems.
  • Amazon Redshift is based on PostgreSQL 8.0.2. That version of PostgreSQL was released in December 2006. While PostgreSQL was much improved since then, the new features were not implemented in Redshift. Many basic features are missing from it.
  • Primary keys can be declared but not enforced. Referential integrity (foreign keys) can be declared but not enforced. UNIQUE and CHECK constraints are not supported and cannot be declared.
  • IDENTITY can be declared on a column, and Redshift will put unique values into it. However: IDENTITY values in the newly inserted rows won’t be incremental or sequential. To implement a sequential number, you need to write your own custom code.
  • There are no stored procedures in Redshift. We are writing SQL script files, and then parsing and running them one statement at a time from a Python program. This also enabled us to implement execution-time error logging.
  • In SQL scripts, to check for the row count of affected rows, a complicated join query against some system tables or views has to be executed.
  • Data Control Language (DCL) does not exist. No statements like IF, WHILE, DO, RAISERROR, etc.
  • On performance of views… Views do not “pass-through” a query parameter which is a potential problem for performance.
  • When selecting against a view with the WHERE clause outside of the view, the inner query of the view will be executed first without consideration for the WHERE clause, and only then the WHERE clause will be applied.
  • Certain clauses of SQL work many times faster than other clauses. So be careful and test your statements for performance earlier rather than later, especially if working with a large data set.
  • There was a situation when DELETE FROM JOIN was unacceptably slow. Replacing JOIN with the USING clause made DELETE instantaneous.
Michael Romm | TrustRadius Reviewer

Vertica

  • 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.
Traian Antonescu | TrustRadius Reviewer

Usability

Amazon Redshift

Amazon Redshift 8.6
Based on 8 answers
Just very happy with the product, it fits our needs perfectly. Amazon pioneered the cloud and we have had a positive experience using RedShift. Really cool to be able to see your data housed and to be able to query and perform administrative tasks with ease.
Brendan McKenna | TrustRadius Reviewer

Vertica

No score
No answers yet
No answers on this topic

Support

Amazon Redshift

Amazon Redshift 6.0
Based on 4 answers
Redshift support is seamless. The system is MPP (distributed), so it is highly available, always backed up by AWS and you can also have read-only replicas (at a cost) which help overcome the number of connections issue.
Although, AWS looks like is not going to upgrade its storage engine to the newer version of Postgres which is a big pity.
Arthur Zubarev | TrustRadius Reviewer

Vertica

Vertica 7.0
Based on 1 answer
HP/Micro Focus Vertica support is in par with other bigger vendors. In addition to this, there is enough best practices documentation available for some of the most common ways you will use Vertica that makes it easy to get Vertica up and running.
Anonymous | TrustRadius Reviewer

Alternatives Considered

Amazon Redshift

Than Vertica: Redshift is cheaper and AWS integrated (which was a plus because the whole company was on AWS).
Than BigQuery: Redshift has a standard SQL interface, though recently I heard good things about BigQuery and would try it out again.
Than Hive: Hive is great if you are in the PB+ range, but latencies tend to be much slower than Redshift and it is not suited for ad-hoc applications.
Anonymous | TrustRadius Reviewer

Vertica

Presto would be a good solution that would be less expensive and would also allow direct querying of all our data on Hadoop while maintaining good speed.
Anonymous | TrustRadius Reviewer

Return on Investment

Amazon Redshift

  • Redshift has had a very positive impact on our business. It has been used to provide analytics on marketing campaigns to boost revenue.
  • Redshift is instrumental in our payment collection business processes. It powers everything from who gets called to who gets sent collection emails.
Seth Goldberg | TrustRadius Reviewer

Vertica

  • For our internal business we have insights we could never have had without Vertica. We can actually see where our money is coming from and point our marketing and sales strategies in the correct direction thereby returning far more than we pay.
  • For our customers we can offer services they had been begging for. Before implementing Vertica we had no insight on a client's marketing across all their activities because the data was just too large. Now, there is no question we can't answer.
Eva Donaldson | TrustRadius Reviewer

Pricing Details

Amazon Redshift

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Vertica

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

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