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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Oracle Autonomous Data Warehouse

    Score8.1 out of 10
    N/AOracle 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

    Pentaho

    Score6 out of 10
    N/APentaho is a suite of open source business intelligence and analytics products, now offered and supported by Hitachi Data Systems since the June 2015 acquisition.N/A
    Pricing
    Oracle Autonomous Data WarehousePentaho
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Oracle Autonomous Data WarehousePentaho
    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 WarehousePentaho
    Considered Both Products
    Oracle
    No answer on this topic
    Hitachi Vantara
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    7 Answers
    100%
    Would buy again
    5 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    6 Answers
    100%
    Delivers good value for the price
    5 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    7 Answers
    100%
    Happy with the feature set
    5 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    5 Answers
    No answers on this topic
    Implementation went as expected
    100%
    Implementation went as expected
    7 Answers
    80%
    Implementation went as expected
    4 Answers
    Features
    Oracle Autonomous Data WarehousePentaho
    BI Standard Reporting
    Comparison of BI Standard Reporting features of Oracle Autonomous Data Warehouse and Pentaho
    Feature
    Oracle Autonomous Data Warehouse
    -
    Ratings
    Pentaho
    9.0
    20 Ratings
    10% above category average
    Pixel Perfect reports00 Ratings8.618 Ratings
    Customizable dashboards00 Ratings9.918 Ratings
    Report Formatting Templates00 Ratings8.718 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of Oracle Autonomous Data Warehouse and Pentaho
    Feature
    Oracle Autonomous Data Warehouse
    -
    Ratings
    Pentaho
    8.7
    19 Ratings
    8% above category average
    Drill-down analysis00 Ratings7.618 Ratings
    Formatting capabilities00 Ratings8.319 Ratings
    Integration with R or other statistical packages00 Ratings9.312 Ratings
    Report sharing and collaboration00 Ratings9.717 Ratings
    Report Output and Scheduling
    Comparison of Report Output and Scheduling features of Oracle Autonomous Data Warehouse and Pentaho
    Feature
    Oracle Autonomous Data Warehouse
    -
    Ratings
    Pentaho
    9.7
    20 Ratings
    17% above category average
    Publish to Web00 Ratings9.618 Ratings
    Publish to PDF00 Ratings9.819 Ratings
    Report Versioning00 Ratings9.713 Ratings
    Report Delivery Scheduling00 Ratings9.917 Ratings
    Delivery to Remote Servers00 Ratings9.310 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of Oracle Autonomous Data Warehouse and Pentaho
    Feature
    Oracle Autonomous Data Warehouse
    -
    Ratings
    Pentaho
    8.1
    17 Ratings
    1% above category average
    Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings7.916 Ratings
    Location Analytics / Geographic Visualization00 Ratings8.216 Ratings
    Predictive Analytics00 Ratings8.314 Ratings
    Access Control and Security
    Comparison of Access Control and Security features of Oracle Autonomous Data Warehouse and Pentaho
    Feature
    Oracle Autonomous Data Warehouse
    -
    Ratings
    Pentaho
    9.1
    20 Ratings
    7% above category average
    Multi-User Support (named login)00 Ratings9.320 Ratings
    Role-Based Security Model00 Ratings9.619 Ratings
    Multiple Access Permission Levels (Create, Read, Delete)00 Ratings9.918 Ratings
    Single Sign-On (SSO)00 Ratings7.610 Ratings
    Mobile Capabilities
    Comparison of Mobile Capabilities features of Oracle Autonomous Data Warehouse and Pentaho
    Feature
    Oracle Autonomous Data Warehouse
    -
    Ratings
    Pentaho
    8.3
    11 Ratings
    7% above category average
    Responsive Design for Web Access00 Ratings9.710 Ratings
    Mobile Application00 Ratings6.97 Ratings
    Dashboard / Report / Visualization Interactivity on Mobile00 Ratings8.711 Ratings
    Application Program Interfaces (APIs) / Embedding
    Comparison of Application Program Interfaces (APIs) / Embedding features of Oracle Autonomous Data Warehouse and Pentaho
    Feature
    Oracle Autonomous Data Warehouse
    -
    Ratings
    Pentaho
    8.6
    10 Ratings
    10% above category average
    REST API00 Ratings8.310 Ratings
    Javascript API00 Ratings9.09 Ratings
    iFrames00 Ratings7.39 Ratings
    Java API00 Ratings8.79 Ratings
    Themeable User Interface (UI)00 Ratings8.910 Ratings
    Customizable Platform (Open Source)00 Ratings9.610 Ratings
    Best Alternatives
    Oracle Autonomous Data WarehousePentaho
    Small Businesses
    No answers on this topic
    Cyfe
    Score4 out of 10
    Medium-sized Companies
    Cloudera Enterprise Data Hub
    Score9 out of 10
    Qlik Cloud Analytics (Qlik Sense)
    Score8.1 out of 10
    Enterprises
    Oracle Exadata
    Score9.8 out of 10
    Jaspersoft Community Edition
    Score7 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Oracle Autonomous Data WarehousePentaho
    Likelihood to Recommend
    8.9
    (32 ratings)
    9.1
    (31 ratings)
    Likelihood to Renew
    8.0
    (1 ratings)
    8.8
    (11 ratings)
    Usability
    -
    (0 ratings)
    9.3
    (6 ratings)
    Support Rating
    -
    (0 ratings)
    9.3
    (7 ratings)
    Online Training
    -
    (0 ratings)
    9.5
    (2 ratings)
    Implementation Rating
    9.0
    (1 ratings)
    5.0
    (1 ratings)
    Data Sharing and Collaboration
    -
    (0 ratings)
    8.4
    (16 ratings)
    Data Sources
    -
    (0 ratings)
    8.6
    (16 ratings)
    User Testimonials
    Oracle Autonomous Data WarehousePentaho
    Likelihood to Recommend
    Oracle
    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.
    Incentivized
    Read full review
    Hitachi Vantara
    Pentaho is very well suited to perform data extraction & data mining from various cloud storage & transform that data using various available data models. However, the software struggles when it comes to visualizing the extracted data in an appealing manner & can be difficult for end-users to get an understanding of data tables created using those models.
    Incentivized
    Read full review
    Pros
    Oracle
    • 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.
    Read full review
    Hitachi Vantara
    • Integrate and synchronize with big data easily
    • Import data from any sources and different databases
    • Managing data in on-premise, hybrid and cloud environments.
    • Compatibility and flexibility of the platform with any type of scenario and any business or industry
    • Various tools in the software suite to transformation of data
    • Simple interface appearance and creative UI graphics
    Read full review
    Cons
    Oracle
    • It is very expensive product. But not to mention, there's good reasons why it is expensive.
    • The product should support more cloud based services. When we made the decision to buy the product (which was 20 years ago,) there was no such thing to consider, but moving to a cloud based data warehouse may promise more scalability, agility, and cost reduction. The new version of Data Warehouse came out on the way, but it looks a bit behind compared to other competitors.
    • Our healthcare data consists of 30% coded data (such as ICD 10 / SNOMED C,T) but the rests is narrative (such as clinical notes.). Oracle is the best for warehousing standardized data, but not a good choice when considering unstructured data, or a mix of the two.
    Incentivized
    Read full review
    Hitachi Vantara
    • I think the relative obscurity of the tool is a downside, not as many developers, consultants or peers you can tap into.
    • Lack of a solid user community held us back, looking at Power BI and Qlik, they have huge user communities that help each other out. Would have liked that here.
    • Smaller company means smaller sales force, and the lack of a local presence made it hard to only interact online with the account rep. Other companies have someone local who often stops by with pre-sales developers to just pitch in free of charge when they have time.
    Incentivized
    Read full review
    Likelihood to Renew
    Oracle
    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.
    Incentivized
    Read full review
    Hitachi Vantara
    I will use Pentaho until I find a better tool with a better, easier to use report designer client. For now, Pentaho has been the most powerful reporting tool for our clients because of its ability to connect to Odoo, integrate in Odoo (reports are accessible in Odoo) and the flexibility in report design and parameter integration
    Incentivized
    Read full review
    Usability
    Oracle
    No answers on this topic
    Hitachi Vantara
    The Pentaho tools are designed so you can start playing around on your own. Of course, you will need guidance at some point, but the training teams are good at guiding new users, and the online documentation is usually pretty up-to-date.
    Some of the tools, such as the Pentaho Data Integration tool and the Pentaho Server, are pretty self-explanatory. The other tools maybe are not so quickly and obvious to use, but again, with some documentation and some customer support, you can find your way around them.
    Incentivized
    Read full review
    Support Rating
    Oracle
    No answers on this topic
    Hitachi Vantara
    They were responsive to our questions when we raised issues. They gave us workarounds when required. They were quite knowledgeable when it came to issue analysis and providing fixes. They were forthright in informing us if a bug was not due for release soon.
    Incentivized
    Read full review
    Online Training
    Oracle
    No answers on this topic
    Hitachi Vantara
    Course Taken: DI1000 Pentaho Data Integration Fundamentals Setup A week before your class started, the instructor will start sending out class material and lab setup instructions. This is helpful so that you understand how the environment is laid out and can start reviewing the content. Ultimately it saved about a 1/2 day trying to setup with 10 other people online which was great! The Course The 3-day course was laid out like many other technical classes with 15-30 minutes instruction and 15-60 minutes of lab exercises. The instructor was very knowledgeable with the functionality from version to version and answered questions as we went along. I was amazed at some of the functionality that was available that I was not using at the time and quickly implemented changes to many existing transformations and jobs. The novice users seemed to catch on quickly and more experienced users explained how some of the functionality was used in their home environments. Towards the end there was enough time so that we were able to ask very directed questions about our own environments. Overall, I really found the class to be informative and deliver enough information to be dangerous. My skills improved and I was able to design better and efficient transformations for the HIE. Course Description: https://training.pentaho.com/instructor-led-training/pentaho-data-integration-fundamentals-di1000
    Read full review
    Implementation Rating
    Oracle
    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.
    Incentivized
    Read full review
    Hitachi Vantara
    Get the right people in before starting implementation. Start small and build as you go approach is time consuming and involves lot of rework. Evangalize within the organization the capabilities and limitations equally so that correct delivery expectations are set. Set expectations with the Customer that the tool cannot replace proprietary software in terms of stability/usability and that timelines could change given the new ness of the product.
    Incentivized
    Read full review
    Alternatives Considered
    Oracle
    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
    Incentivized
    Read full review
    Hitachi Vantara
    Since the Pentaho platform offers a range of broad functionality across data preparation and advanced analytics, it also can be easily integrated to support many data sources and machine-learning frameworks. Based on that fact, we selected Pentaho to be used in our internal department. It also supports many of our BI use cases as required by company management or the business user. Last but not least, the Pentaho license is cheaper than their competitor.
    Incentivized
    Read full review
    Return on Investment
    Oracle
    • 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.
    Incentivized
    Read full review
    Hitachi Vantara
    • Pentaho has improved our overall business process.
    • Pentaho has helped the Managers and Directors to analyze the numbers going up and down from time to time.
    • We have a started a big project using Pentaho that is going to include all the business processes in the organization.
    Incentivized
    Read full review
    ScreenShots