Oracle Autonomous Data Warehouse vs Vertica comparison

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Executive Summary

We performed a comparison between Oracle Autonomous Data Warehouse and Vertica based on real PeerSpot user reviews.

Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Oracle Autonomous Data Warehouse vs. Vertica Report (Updated: March 2024).
767,847 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"It is a very stable tool...It is an extremely scalable tool.""It is an extremely scalable solution since you can dynamically change the resources as some other cloud solutions.""The solution integrates well with Power BI.""The analytics have been very good. We've found them to be quite useful.""One advantage is that if you already have an Oracle Database, it easily integrates with that.""The product is easy to use.""It is a stable and scalable solution.""It provides Transparent Data Encryption (TDE) capabilities by default to address data security issues."

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"Integrated R and geospatial functions are helping us improve efficiency and explore new revenue streams. ​""I appreciate the flexibility offered by Vertica's projections. It allows for modifying the primary projection without altering the tables, which helps to optimize queries without the need to modify the underlying data.""Initiate on one node, and the RPM propagates automatically to all other nodes. ​""I don't need any special hardware. I can use commodity hardware, which is nice to have in a commercial solution.""Vertica's most outstanding features are the compression rates achieved and the speed of access of high volume data.""The solution is quick, has good compression data, and is not expensive.""The feature I like best is performance. We use Red Tool and Red Job for the data warehouse and reporting. It's perfect. Performance is good, and it can return ad hoc queries very quickly. Of course, it's a cluster, so it's easy to scale.""The most valuable feature is Vertica's performance and the ease of using the database."

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Cons
"Ease of connectivity could be improved.""The solution could be improved by allowing for migration tools from other cloud services, including migration from Amazon Redshift, RDS, and Aurora.""The initial setup was pretty complex. It was not easy.""There is a need for more storage to be allocated, but over a period of time, it becomes impossible to reduce it after using it.""It is very important the integration with other platforms be made to be as easy as it is with an on-premises deployment.""The solution lacks visibility options.""One of the major problem is creating custom tablespace. The ADB serverless option doesn't support custom tablespace creation, which could cause issues during on-premise database migration that requires specifically named tablespace. There should be an option to create customized tablespace.""A lot of the tools that were previously there have now been taken away."

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"I would personally like to see extended developer tooling suited to Vertica – think published PowerDesigner SQL dialect support.""Documentation has become much better, but can always use some improvement.""Monitoring tools need to be lightweight. They should not take up heavy resources of the main server.""The geospatial functionality could be designed better.""In my opinion, Vertica's documentation could be improved. Currently, there is not enough documentation available to gain a comprehensive understanding of the platform.""It's hard to make it slow for a small data volume. For large volumes, it's hard to make it work. It's also hard to make it faster, and to make it scale.""I have found that coding support could be simplified.""Whatever's out, the core is not always as great as the engine, especially their first version."

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Pricing and Cost Advice
  • "The cost is perfect with Oracle Universal credit."
  • "ROI is high."
  • "You pay as you go, and you don't pay for services that you don't use."
  • "Cloud solutions are cheaper, but in the long run, they may not be much cheaper. They certainly have a lower initial cost. The licensing is yearly, and it is based on the size of the hardware and the number of users."
  • "The solution's cost is reasonable."
  • "On a scale from one to ten, where one is a low price and ten is a high price, I rate the pricing an eight."
  • "The licensing cost of the product can vary since you can integrate it very easily with other products or other cloud products...You pay as you use it, so it is not yearly or monthly payments to be made toward Oracle."
  • "The price depends on the configuration we choose."
  • More Oracle Autonomous Data Warehouse Pricing and Cost Advice →

  • "Work with a vendor, if possible, and take advantage of more aggressive discounts at mid-fiscal year (April) and fiscal year-end (October).​"
  • "It's free up to three nodes and 1TB, and then get in contact with their sales guys."
  • "Start with license per 1TB. Starting from hundreds of TB there is unlimited licensing to be considered. Move historical data to HDFS/S3 which are significantly cheaper or even free."
  • "The first TB is free and you can use all the Vertica features. After 1TB you have to pay for licensing. The product is worth it, but be aware of this condition, and plan. The compression ratio is explained in the documentation."
  • "I think it's starting to get a little expensive. Open source products are starting to get more robust, so I think that's something that they need to start looking at in terms of licensing."
  • "Read the fine print carefully."
  • "It is fast to purchase through the AWS Marketplace."
  • "The pricing and licensing depend on the size of your environment and the zone where you want to implement."
  • More Vertica Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:With Oracle Autonomous Data Warehouse, things are much simpler. Creating a structure, initializing the servers, extending the servers, those are all things that are very, very easy. That's the main… more »
    Top Answer:Cost-wise, it's a solid seven out of ten. A bit costly, but it is a good tool.
    Top Answer:My main suggestion for Oracle is the configuration and key values that come for JSON files. When we create a table, especially if you see in our RedShift or some other stuff, if I create a table on… more »
    Top Answer:The product's initial setup phase is extremely simple.
    Top Answer:In my opinion, nothing needs improvement in the solution as it is a great product. The documentation of Vertica is an area with shortcomings where improvements are required. Vertica needs to increase… more »
    Ranking
    10th
    Views
    3,427
    Comparisons
    2,255
    Reviews
    7
    Average Words per Review
    556
    Rating
    8.1
    6th
    Views
    3,639
    Comparisons
    2,841
    Reviews
    10
    Average Words per Review
    353
    Rating
    8.3
    Comparisons
    Also Known As
    Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
    Learn More
    Overview

    Oracle Autonomous Data Warehouse is the world’s first and only autonomous database 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 rapidly, easily, and cost-effectively discover business insights using data of any size and type. Built for the cloud and optimized using Oracle Exadata, Autonomous Data Warehouse benefits from faster performance and, according to an IDC report (PDF), lowers operational costs by an average of 63%.


    Autonomous Database provides the foundation for a data lakehouse—a modern, open architecture that enables you to store, analyze, and understand all your data. The data lakehouse combines the power and richness of data warehouses with the breadth, flexibility, and low cost of popular open source data lake technologies. Access your data lakehouse through Autonomous Database using the world's most powerful and open SQL processing engine.

    Vertica is a deploy-anywhere SQL database created for elasticity, speed, and advanced analytics. Vertica enables today’s busy teams to modernize their data warehouses, democratize data and analytics to enable increased access, and deploy analytics in a hybrid cloud environment. Additionally, Vertica merges how companies power their analytics by providing a scalable, open, and elastic database with numerous intuitive features.

    In today’s marketplace, organizations are experiencing continued robust growth of data volumes, and citizen data scientists’ broader use of analytics is causing many companies to re-visit and re-examine their systems in order to match the demands of an aggressive marketplace. Analytics are continually swiftly evolving. New data from social media, blogs, IoT sources, data streams, gas and electrical grids, and mobile networks is being constantly gathered in extensive data sets. This presents organizations with a new opportunity to become more data driven, and they must be able to manage the new data growth and identify the trends and sequences that can lead to both improved business opportunities and continued repeat business from their clients.

    Vertica Benefits:

    Vertica has many valuable key benefits. Some of its most useful benefits include:

    • Efficiency:  Vertica provides robust compression and intuitive impressions. This results in users requiring significantly less storage and hardware than other comparable data analytics solutions. The progressive Vertica architecture results in queries that are 10-50 times faster than other platforms while providing more storage data per server.
    • Integration: Each new iteration of Vertica is tested and certified with the latest ETL and visualization tools. It actively supports Java Database Connectivity (JDBC), Open Database Connectivity (ODBC), and popular SQL providers. All these solutions and most leading BI and visualization tools interact seamlessly, making Vertica overall a very cost-effective solution and solid business investment.
    • Cloud flexibility: With Vertica, users do not have to get locked into a single cloud vendor. Users are able to take complete advantage of the current infrastructure that is already in place. Vertica seamlessly integrates with popular public clouds, including Google Cloud Platform (GCP), Azure, AWS, Alibaba, VMware clouds, and more. It also provides for easy portability across on-premise and multi-cloud environments and data lakes. Vertica designs a robust flexible platform for running a company’s analytical and computing workloads, which allows applications to run simultaneously on numerous environments in a hybrid cloud infrastructure. Vertica is able to seamlessly use public clouds and private data centers, and it grants the flexibility to switch in an instant.
    • Security: Vertica offers dynamic end-to-end security with support for partner solutions and industry-standard protocols such as Apache Sentry, AWS IAM, Kerberos, LDAP, and more. Vertica utilizes an intuitive layered security model that provides multiple security authentication authorization mechanisms. Vertica will also maintain an audit trail, natively exported to other security domains for analysis and persistence. 

    Reviews from Real Users

    “I am using Vertica for aggregations and dashboards. The most valuable feature of Vertica is the ability to receive large aggregations at a very quick pace. The use case of subclusters is very good.” - Bijal S., Group Chief Technology Officer at Netcore Solutions

    “The hardware usage and speed has been the most valuable feature of this solution. It is very fast and has saved us a lot of money.” - Munkhsaikhan B.,  Project Lead - Digital Transformation Unit at Bodi Electronics LLC

    Sample Customers
    Hertz, TaylorMade Golf, Outront Media, Kingold, FSmart, Drop-Tank
    Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
    Top Industries
    REVIEWERS
    Computer Software Company27%
    Manufacturing Company18%
    Financial Services Firm18%
    Individual & Family Service9%
    VISITORS READING REVIEWS
    Educational Organization43%
    Financial Services Firm9%
    Computer Software Company8%
    Manufacturing Company4%
    REVIEWERS
    Computer Software Company19%
    Media Company17%
    Marketing Services Firm14%
    Comms Service Provider11%
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Computer Software Company15%
    Manufacturing Company8%
    Comms Service Provider6%
    Company Size
    REVIEWERS
    Small Business38%
    Midsize Enterprise6%
    Large Enterprise56%
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise47%
    Large Enterprise40%
    REVIEWERS
    Small Business31%
    Midsize Enterprise26%
    Large Enterprise43%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise14%
    Large Enterprise66%
    Buyer's Guide
    Oracle Autonomous Data Warehouse vs. Vertica
    March 2024
    Find out what your peers are saying about Oracle Autonomous Data Warehouse vs. Vertica and other solutions. Updated: March 2024.
    767,847 professionals have used our research since 2012.

    Oracle Autonomous Data Warehouse is ranked 10th in Cloud Data Warehouse with 16 reviews while Vertica is ranked 6th in Cloud Data Warehouse with 82 reviews. Oracle Autonomous Data Warehouse is rated 8.6, while Vertica is rated 8.4. The top reviewer of Oracle Autonomous Data Warehouse writes "A tool for data warehousing that offers scalability, stability, and ease of setup". On the other hand, the top reviewer of Vertica writes " A user-friendly tool that needs to improve its documentation part". Oracle Autonomous Data Warehouse is most compared with Oracle Exadata, Snowflake, Microsoft Azure Synapse Analytics, BigQuery and IBM Db2 Warehouse, whereas Vertica is most compared with Snowflake, SQL Server, Amazon Redshift, Teradata and Oracle Exadata. See our Oracle Autonomous Data Warehouse vs. Vertica report.

    See our list of best Cloud Data Warehouse vendors.

    We monitor all Cloud Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.