3 Ratings
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Score 8.7 out of 101
11 Ratings
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Score 8.3 out of 101

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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.
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Databricks Unified Analytics Platform

Right now, I am learning about Spark ML and general machine learning concepts. It is a good practice space to run different Spark ML codes. Databricks does provide valid errors and detailed descriptions of where I can fix my code. And to run a set of codes is very easy to maneuver around. If you do not know how to code, it might be less appropriate to use Databricks. But then again, they do have a large community where help can be found.
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Pros

  • 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.
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  • Very simplified infrastructure initialization
  • Seamless and automated optimization of job execution
  • Simple tool to get used to
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Cons

  • Its a new product, there are plenty of bugs to work out with regards to converting special reserve characters that might crop up in data.
  • The Matrix 2 Matrix database port tool needs some ironing out.
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  • Better Localized Testing
  • When they were primarily OSS Spark; it was easier to test/manage releases versus the newer DB Runtime. Wish there was more configuration in Runtime less pick a version.
  • Graphing Support went non-existent; when it was one of their compelling general engine.
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Usability

Actian Matrix6.0
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
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No score
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Support

Actian Matrix8.0
Based on 1 answer
  • Faster initial response
  • Trained professionals
  • Very helpful in resolving issues
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No score
No answers yet
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Implementation

Actian Matrix6.0
Based on 1 answer
Leader failover setup is the toughest and lack of proper documentation is making things tough.
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No score
No answers yet
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Alternatives Considered

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.
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When we started using it, only the notebook experience was mature. However, DB was very helpful giving us direct support to get onto their platform. Really there was little in the way to compare to them at the time. AWS has services but not the same low-cost angle
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Return on Investment

  • 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.
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  • The ability to spin up a BIG Data platform with little infrastructure overhead allows us to focus on business value not admin
  • DB has the ability to terminate/time out instances which helps manage cost.
  • The ability to quickly access typical hard to build data scenarios easily is a strength.
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Pricing Details

Actian Matrix

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

Databricks Unified Analytics Platform

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