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Oracle Autonomous Data Warehouse

Oracle Autonomous Data Warehouse

Overview

What is Oracle Autonomous Data Warehouse?

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.…

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Recent Reviews

Nice

9 out of 10
March 29, 2022
Incentivized
I used to use it in my previous role when I was working as a Spatial Data Analyst. I mostly used it to query and model GIS data and to …
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Awards

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Pricing

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What is Oracle Autonomous Data Warehouse?

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…

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  • No setup fee

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  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Alternatives Pricing

What is Amazon Redshift?

Amazon Redshift is a hosted data warehouse solution, from Amazon Web Services.

What is Google BigQuery?

Google's BigQuery is part of the Google Cloud Platform, a database-as-a-service (DBaaS) supporting the querying and rapid analysis of enterprise data.

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Product Details

What is Oracle Autonomous Data Warehouse?

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.

Oracle Autonomous Data Warehouse Competitors

Oracle Autonomous Data Warehouse Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

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.

Amazon Redshift and Microsoft SQL Server are common alternatives for Oracle Autonomous Data Warehouse.

The most common users of Oracle Autonomous Data Warehouse are from Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(242)

Attribute Ratings

Reviews

(1-25 of 32)
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March 29, 2022

Nice

Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Querying & Extraction of Data
  • Data modelling
  • Materialised views and views creating
  • More user interactive
  • Syntax rectifying capability
  • UI
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • transformations
  • ease of use
  • Oracle Data Warehouse creates a package in the database for each mapping - it would be nice to have the ability to manually update that package and Oracle Data Warehouse to recognize those updates without problems
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Excellent performance, ease of use, great scalability, and most importantly excellent integration with Oracle GoldenGate for real-time data view
  • Fully managed enterprise class, full-featured relational database that brings the power of Oracle technology to managed Cloud; support for private endpoints to keep data private
  • Multi-user, high concurrency real-time reporting from across several data sources
  • 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
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • To work in SQL and PL SQL and create high index database. Its user base is very huge so it is used in most of the company which helps in building profile.
  • Easy integration in application development, I have used in python currently.
  • Developers must know the backend as well so that they can build a scalable product.
  • If you learn SQL using Oracle, which cover most of the syntax, then you will be proficient in SQL and can easily work on other tools too (for ex, MySQL and PostgreSQL).
  • In Oracle Data Warehouse I used to build Type 1 and Type 2 Load frequently, where I did not face any issue, so nothing to improve from a product functionality point of view.
  • If UI is more interactive as in Informatica, then maybe more users can start using this
  • Blog link must be there on one site for solving user issues.
December 23, 2020

The future of databases

Jyoti Shah | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • Out-of-the-box use
  • Flexibility of scaling out and in
  • Minimal DBA intervention required to run the system
  • Exposure of the OS on request basis
  • Delegate control of the Oracle binaries on an as-needed basis
  • View access of the OS which may be used for troubleshooting purposes
Lisandro Fernigrini | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • Simple and quick provisioning and configuration
  • Really good and fast ETL features allow quick data load
  • Always pached, always available. Foerget about many tedious admin tasks
  • Pricing may we high when using all features
Krishan Mohil | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • Scale Up & Down as you need to reduce the cost immediately.
  • Save lots of time and costs, helped project delivery in less time which is a big plus for customer and vendor. Also, saving administrative cost.
  • Performance Tuning, security, backup and high availability.
  • Combine the abilities of a data lake and a data warehouse to manage any data type for business analysis.
  • The analytics come with it to code collaboratively with the rest of your team, not the classic data miner GUI interface.
  • Due to security limitations, neither the powerful GUI development environment Application Express (yet?) nor Oracle R Enterprise are not available.
Paolo Borghi | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • It's really fast to set up (like 2 minutes to create a new database)
  • It's cheap, and its costs are based on dedicated resources (RAM and CPUs), and it can eventually be turned off
  • Resources (RAM and CPUs) can be increased or decreased at run-time
  • Patching and release upgrades are automatically performed by Oracle at scheduled times
  • It's secure, without the need to implement a VPN: it provides a wallet that includes encryption methods for authentication
  • It automatically extracts statistics (needed by Oracle database engine to improve performances) on its structures
  • Backups are automatically performed and very easy to restore
  • Disaster recovery is granted thanks to fault domains provided by Oracle
  • It's really limited from a DBA point of view
  • There is only 1 tablespace associated to all the users you create on the database
  • The cost (license and monthly fees) are not always very clear
  • The loading of data on the cloud is subjected to network speed, so huge amounts of data may take a lot of time to be loaded on the database
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Extremely fast query execution for large volumes of data
  • Very rich library of statistical and aggregation functions
  • We can access the underlying data objects from Multiple IDEs such as SQL developer
  • Highly granular and robust access control on data warehouse objects
  • Sometimes when we run queries the error codes/details are not detailed or very helpful
  • We need a built-in easy-to-use data pumping tool
  • I get confused sometimes between the schema vs user in Oracle Autonomous Data Warehouse (it is the same)
December 10, 2020

ADW review

Yogeswar Reddy | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • This eliminates nearly all the manual and complex tasks that can introduce human error
  • Database providing built-in support for multi-model data and multiple workloads such as analytical SQL, machine learning, graph, and spatial.
  • I need to spend lot a time to find the appropriate technical document
  • Pricing
Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • High performance using continuous query optimization, table indexing, data summaries, and auto-tuning
  • Autonomous data encryption and security patch application
  • Different deployment models--shared, dedicated, and cloud@customer
  • Built in analytics--this makes data loading, indexing, and building good data visualization models easier
  • Improved machine learning capabilities
  • I find it to be the best autonomous solution out there with high scalability and reliability
  • More capabilities of Analytics Cloud
Score 7 out of 10
Vetted Review
Verified User
Incentivized
  • Store data and information
  • Help process automated tasks
  • Break down complex projects
  • Save time on manual tasks
  • Processing times can use some optimization to add flexibility
  • The complexity of the tool doesn't allow a more widespread usage by partners
  • It's great for digital but could be improved to be better used with other data sources
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • Performance is really nice if set properly.
  • [Reliability].
  • Documentation is easy.
  • Some ETL tools are not compatible yet.
  • Even they have a good documentation, I don't think this is well structured.
  • The tool could be more intuitive.
Peter Merkert | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
  • Connecting to Oracle Blockchain Platform out of the box
  • JSON or SQL? ADW makes handling both as if they are the same!
  • The basic setup comes with quite some power. The power is often too much for a data warehouse which is used to aggregate data just a dozen times per day and is due to caching not queries for the data sets that often. A smaller shape - yet bigger than the always free - would be great!
Erik Dvergsnes | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
  • 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.
  • Not sure what these can be
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • Data warehouse in-cloud, that is the biggest plus point.
  • No need to worry about backups or maintenance since it is in-cloud.
  • Oracle Analytics Cloud comes with a default connector to ADW which makes it handy in terms of integration. OAC is our reporting tool that sits on top of ADW.
  • ODI Marketplace is a free add-on that can be installed on the compute of ADW and could be used as a complete ETL tool.
  • Oracle ADW should definitely improve in terms of cumbersome connectivity with third-party tools like ODI Marketplace.
  • Oracle Data Sync that is used to load data into ADW does not work if we have single sign-on enabled.
  • ADW can also be priced on a subscription basis instead of universal credits. This way customers need not be hooked all the time concerned about overages but use the tool to its full capacity.
Score 6 out of 10
Vetted Review
Verified User
Incentivized
  • Quick and easy deployment. There is no hassle in setting up software and maintaining hardware.
  • Highly available and scalable. Accessing the data warehouse is easy, and it can scale up based on the data size requirements.
  • Autonomous functionality. With the help of machine learning, autonomous data warehousing reduces the amount of time spent managing it.
  • Customer support isn't the best out there. We usually have to wait about an hour to get some form of assistance.
  • Pricing is a bit higher than many of its competitors such as AWS Redshift.
  • Tweaking features requires dedicated staff. Software is fairly advanced. Would be difficult to use for newcomers.
Score 7 out of 10
Vetted Review
Verified User
Incentivized
  • Handles workloads like a champ.
  • Uses state-of-the-art analytic functions and allows for quick, easy SQL.
  • "Secret Sauce" integrates the hardware and the software for faster I/O.
  • Supports thousands of concurrent users.
  • We had issues converting a legacy DW (with its existing indexes, etc) over to the new DW hardware. Given the memory-intensive resources, not all indexes are advised. Traditional query tuning methods do not work. You have to re-learn some tuning tactics.
  • Given the number of features it has, it is far more complex to administer. Requires trained staff to support.
  • Support in these areas is generally poor. Oracle is, sadly, no exception.
  • I HATE the current push to the cloud. Seems like a gigantic money-grab.
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