What users are saying about
3 Ratings
104 Ratings
3 Ratings
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Score 8.7 out of 101
104 Ratings
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Score 8.5 out of 101

Likelihood to Recommend

Actian Matrix

[Actian Matrix is well suited for:]1. Power user who wants to derive aggregate metrics by joining huge dataset.2. Batch load where you have to load billion of records very fast (copy command).3. Scenario where you want to do ELT because your ETL tool cannot handle huge volume of data.
Dipankar Pradhan profile photo

Amazon Redshift

Very well suited for aggregating/denormalizing data when you need a reporting environment. Can provide extremely fast querying for analytical purposes. Very nice to not have to have in house responsibility for sensitive data.Not appropriate for a transactional system (though this is not what it is built for obviously). Must keep in mind the data you are syncing up to the cloud and scrub if necessary before. Something to always be mindful of of course.
Brendan McKenna profile photo

Pros

Actian Matrix

  • Super fast. Aggregate query such as SUM(), Count() returns result within seconds from a table with more than billion records.
  • Excellent data compression.
  • Easy maintenance. We managed this database without having a full time DBA.
  • Support ANSI SQL and ODBC/JDBC. It's easy to connect to this database from other systems.
Dipankar Pradhan profile photo

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 profile photo

Cons

Actian Matrix

  • Dashboard for Admin instead of a linux console.
  • Admin with ability to kill inactive sessions when sessions reaches to more than allowed sessions. We ended up restarting the database.
  • Ability to easily scale up database by adding extra node.
  • Better support from Actian.
Dipankar Pradhan profile photo

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 profile photo

Usability

Actian Matrix

Actian Matrix 6.0
Based on 1 answer
I wish to give higher rating for the speed and efficiency in handling the queries, but only 6 because of consistent bugs we encounter
No photo available

Amazon Redshift

Amazon Redshift 9.5
Based on 2 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 profile photo

Support

Actian Matrix

Actian Matrix 8.0
Based on 1 answer
  • Faster initial response
  • Trained professionals
  • Very helpful in resolving issues
No photo available

Amazon Redshift

No score
No answers yet
No answers on this topic

Implementation

Actian Matrix

Actian Matrix 6.0
Based on 1 answer
Leader failover setup is the toughest and lack of proper documentation is making things tough.
No photo available

Amazon Redshift

No score
No answers yet
No answers on this topic

Alternatives Considered

Actian Matrix

Actian Matrix is our first big data analytics storage platform, and as I was not involved in the POC process to compare it to other products out on the market, unfortunately I cannot say if it is better than other Big Data storage options. I can say that it out performs products such as Oracle or UDB in regards to the volume of data it can easily index and handle.
No photo available

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.
No photo available

Return on Investment

Actian Matrix

  • I cannot comment on the specific numbers, all I can say is that switching to the backend greatly improved our processing speed. The more we process through our systems, the more clients we can serve. Which should bump ROI.
No photo available

Amazon Redshift

  • Data loading is much faster
  • Database physical footprint got much smaller
  • No need for our own data center and hardware
No photo available

Pricing Details

Actian Matrix

General

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

Amazon Redshift

General

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

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