Oracle Autonomous Data Warehouse vs. ParAccel

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Oracle Autonomous Data Warehouse
Score 10.0 out of 10
N/A
Oracle Autonomous Data Warehouse is optimized for analytic workloads, including data marts, data warehouses, data lakes, and data lakehouses. With Autonomous Data Warehouse, data scientists, business analysts, and nonexperts can discover business insights using data of any size and type. The solution is built for the cloud and optimized using Oracle Exadata.N/A
ParAccel
Score 8.8 out of 10
N/A
ParAccel was a data warehouse appliance (DWA) option, offered by Actian since the April 2013 acquisition of ParAccel as Actian Matrix, that has since been discontinued.N/A
Pricing
Oracle Autonomous Data WarehouseParAccel
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Oracle Autonomous Data WarehouseParAccel
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Oracle Autonomous Data WarehouseParAccel
Considered Both Products
Oracle Autonomous Data Warehouse
Chose Oracle Autonomous Data Warehouse
It is more user friednly
Chose Oracle Autonomous Data Warehouse
As I mentioned, I have also worked with Amazon Redshift, but it is not as versatile as Oracle Autonomous Data Warehouse and does not provide a large variety of products. Oracle Autonomous Data Warehouse is also more reliable than Amazon Redshift, hence why I have chosen it.
Chose Oracle Autonomous Data Warehouse
I used Informatice and ODI. While Informatica provides more functionality, it is a very expensive tool. Oracle Data Warehouse gives lots of same functionality at a fraction of a cost (or free with enterprise Oracle db license)
Chose Oracle Autonomous Data Warehouse
Oracle Autonomous Data Warehouse stacks up great against all the existing data warehouse applications.
Chose Oracle Autonomous Data Warehouse
Reason to select Oracle Data Warehouse are mentioned below:
1. If some of your old process are already setup using Oracle Data Warehouse
2. High user community, which make solving doubt using internet very easy
Chose Oracle Autonomous Data Warehouse
Since our core was Oracle ERP Cloud, we were looking for a cloud data warehouse solution from Oracle. Autonomous Data Warehouse perfectly fit that need and has already provided us with the results. Our CSM and the readily available support helps us to resolve issues and find …
Chose Oracle Autonomous Data Warehouse
In my personal opinion, Amazon Redshift is much better than Oracle Data Warehouse in two main ways. First, it's in the Cloud which eliminates the need to purchase and maintain dedicated hardware. Second, the pricing models for Redshift are far more flexible and affordable. …
Chose Oracle Autonomous Data Warehouse
Oracle autonomous warehouse database is much quicker and performs much better than Azure
Chose Oracle Autonomous Data Warehouse
Patching with Oracle Autonomous Warehouse is a breeze. With Teradata patching is a pain. Also Oracle Autonomous Warehouse is more cheaper than Teradata warehouse. Flexibility is another major factor for anyone considering Oracle Autonomous Warehouse. Extract Transform and Load …
Chose Oracle Autonomous Data Warehouse
Oracle is, in my opinion, the top dog in this space. I feel like the other vendors are playing catch-up to where Oracle is right now. It is also likely the most expensive option out there.
Chose Oracle Autonomous Data Warehouse
Our organization adopted Oracle almost 20 years ago and there were a few options at that time. Oracle was the leading database tech company at that time and it was a safe choice to us. And they have been evolved and always ahead of new technologies, high performance, and …
Chose Oracle Autonomous Data Warehouse
Hadoop still being a naive field, we have very few expertise with great knowledge in Hadoop. Oracle Data Warehouse does not support unstructured data, where as Hadoop does. There are a lot of functionalities which Oracle Data Warehouse provides, which makes us us not to go for …
Chose Oracle Autonomous Data Warehouse
Oracle DWH is a pure warehousing tool and does not try to include outside features into itself, unlike a few other warehousing platforms. This makes Oracle DWH much simpler to set up and ready to use. On the other hand, most other warehousing platforms can provide slightly …
Chose Oracle Autonomous Data Warehouse
Oracle data warehouse has the capability of running both the Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) databases on the same platform. This capabilities cannot be handled by other datawarehouse like TeraData. This capability helps Oracle to …
Chose Oracle Autonomous Data Warehouse
Oracle Data Warehouse became immediate selection whenever we were implementing BI solutions with Dimension Modeling and Oracle based Transactional Systems, compared to other places where we used Teradata and Netezza with 3NF model structure for BI solutions. For other various …
Chose Oracle Autonomous Data Warehouse
Oracle is a lot cheaper than traditional data warehouse appliance solutions, even if you get an expensive DBA who knows what he/she is doing. It definitely takes a lot more work to ensure it scales as your data size grows. While it won't scale past the terabyte sized data sets, …
ParAccel
Chose ParAccel
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 …
Chose ParAccel
My comparison with Vertica: ParAccel stays at top because we do not know the projections ahead of time (which is a major performance tuning technique in Vertica)

My comparison with Netezza/Teradata: Definitely, ParAccel is economical, but if you can afford it, go for other …
Best Alternatives
Oracle Autonomous Data WarehouseParAccel
Small Businesses
Google BigQuery
Google BigQuery
Score 8.5 out of 10
Google BigQuery
Google BigQuery
Score 8.5 out of 10
Medium-sized Companies
Cloudera Enterprise Data Hub
Cloudera Enterprise Data Hub
Score 9.0 out of 10
Cloudera Enterprise Data Hub
Cloudera Enterprise Data Hub
Score 9.0 out of 10
Enterprises
Oracle Exadata
Oracle Exadata
Score 10.0 out of 10
Oracle Exadata
Oracle Exadata
Score 10.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Oracle Autonomous Data WarehouseParAccel
Likelihood to Recommend
8.9
(0 ratings)
8.8
(0 ratings)
Likelihood to Renew
8.0
(0 ratings)
6.0
(0 ratings)
Usability
-
(0 ratings)
6.0
(0 ratings)
Support Rating
-
(0 ratings)
8.0
(0 ratings)
Implementation Rating
9.0
(0 ratings)
6.0
(0 ratings)
User Testimonials
Oracle Autonomous Data WarehouseParAccel
Likelihood to Recommend
II would recommend Oracle Autonomous Data Warehouse to someone looking to fully automate the transferring of data especially in a warehouse scenario though I can see the elasticity of the suite that is offered and can see it is applicable in other scenarios not just warehouses.
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[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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Pros
  • Very easy and fast to load data into the Oracle Autonomous Data Warehouse
  • Exceptionally fast retrieval of data joining 100 million row table with a billion row table plus the size of the database was reduced by a factor of 10 due to how Oracle store[s] and organise[s] data and indexes.
  • Flexibility with scaling up and down CPU on the fly when needed, and just stop it when not needed so you don't get charged when it is not running.
  • It is always patched and always available and you can add storage dynamically as you need it.
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  • Data loading is excellent
  • ParAccel support is the best I have seen so far.
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Cons
  • Level of integration or compatibility to connect it to different applications can be improved
  • The support service is slow
  • The issue is with the record number limitation of not being able to bring back more than one million records or not being able to export larger datasets to Excel
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  • 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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Likelihood to Renew
Because
  • It is really simple to provision and configure.
  • Does not require continous attention from the DBA, autonomous features allows the database to perform most of the regular admin tasks without need for human intervention.
  • Allows to integrate multiple data sources on a central data warehouse, and explode the information stored with different analytic and reporting tools.
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No answers on this topic
Usability
No answers on this topic
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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Support Rating
No answers on this topic
  • Faster initial response
  • Trained professionals
  • Very helpful in resolving issues
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Implementation Rating
Understanding Oracle Cloud Infrastructure is really simple, and Autonomous databases are even more. Using shared or dedicated infrastructure is one of the few things you need to consider at the moment of starting provisioning your Oracle Autonomous Data Warehouse.
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Leader failover setup is the toughest and lack of proper documentation is making things tough.
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Alternatives Considered
Our organization adopted Oracle almost 20 years ago and there were a few options at that time. Oracle was the leading database tech company at that time and it was a safe choice to us. And they have been evolved and always ahead of new technologies, high performance, and professional business support. We didn't find a good reason to replace Oracle with any other competitors.
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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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Return on Investment
  • Overall the business objective of all of our clients have been met positively with Oracle Data Warehouse. All of the required analysis the users were able to successfully carry out using the warehouse data.
  • Using a 3-tier architecture with the Oracle Data Warehouse at the back end the mid-tier has been integrated well. This is big plus in providing the necessary tools for end users of the data warehouse to carry out their analysis.
  • All of the various BI products (OBIEE, Cognos, etc.) are able to use and exploit the various analytic built-in functionalities of the Oracle Data Warehouse.
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  • ROI is great, less spending on full time DBA and that money could be use to add additional node.
  • Negative - Not many developers are well aware of this tool, it takes some time to learn.
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ScreenShots