Microsoft Parallel Data Warehouse vs Vertica comparison

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Executive Summary

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

Find out in this report how the two Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Microsoft Parallel Data Warehouse vs. Vertica Report (Updated: November 2022).
653,522 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
"The solution has been reliable.""We have complete control over our data.""I like Data Warehouse's data integrity features. Data integrity is what databases are made for as opposed to spreadsheets."

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"Vertica is a columnar database where the query performance is extremely fast and it can be used for real-time integrations for API and other applications. The solution requires zero maintenance which is helpful.""Vertica is a great product because customers can compress and code data. The infrastructure that data warehouse solutions need is a commodity server so that customers don't have to invest in infrastructure.""The solution has great capabilities. The tool that instructs the internal database forward is easy to use and is very powerful.""I enjoy the cybersecurity and backup features.""Vertica has a few features that I like. From an architecture standpoint, they have separated compute and storage. So you have low-cost object storage for primary storage and the ability to have several sub-clusters working off the same ObjectStore. So it provides workload isolation.""The most valuable feature of Vertica is the unmatchable database performance.""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.""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."

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Cons
"The query is slow if we don't optimize it.""I would like the ability to do more real-time type updates instead of batch-oriented updates.""We'd like to see it be a bit more compatible with other solutions."

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"Vertica offers a platform-as-a-service version, but their software-as-a-service solution is only available on AWS. They need to get a SaaS version on Azure and GCP as fast as possible.""The biggest problem is the cost of cloud deployment.""They could improve on customer service.""In a future release, we would like to have artificial intelligence capabilities like neural networks. Customers are demanding this type of analytics.""I think they need an easy client so that you can write queries easily, but it's not necessarily a weak point. I think some users would need them.""Promotion/marketing must be improved, even though it is a very useful product at very good price, it is not as "popular" as it should be.""I have found that coding support could be simplified.""We are looking for a cheaper deployment for the solution. Although we did a lot of benchmarks, like Redshift. We tried Redshift, it didn't work. It didn't work out for us as well."

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Pricing and Cost Advice
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  • "It's difficult today to compete with open-source solutions. In these areas, there is a lot of competition and the price of this solution is a bit pricy."
  • "The price could be cheaper and it is best to negotiate the price."
  • "The price is reasonable. We use a pay per license model. Firstly, you need to buy a license. After that, you mainly pay the annual support fee of around 20% or 25%. I think their prices are quite reasonable."
  • "The pricing could improve, it is a little expensive."
  • "The pricing depends on the license model because there are several. It depends on the client, but it's cheaper than other solutions. I think it's cheap for all the functionality and robustness. It's not very expensive to deploy."
  • "The pricing for this solution is very reasonable compared to other vendors."
  • "The price of Vertica is less expensive than some competitors, such as Teradata."
  • More Vertica Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:I don't have any need for new features. We'd like to see it be a bit more compatible with other solutions. It could be faster. Right now, Oracle is a bit quicker in comparison. We'd like the solution… more »
    Top Answer:The most valuable feature of Vertica is the unmatchable database performance.
    Top Answer:The price of Vertica is less expensive than some competitors, such as Teradata.
    Top Answer:Vertica can improve automation and documentation.
    Ranking
    15th
    out of 31 in Data Warehouse
    Views
    2,061
    Comparisons
    1,649
    Reviews
    2
    Average Words per Review
    336
    Rating
    7.0
    4th
    out of 31 in Data Warehouse
    Views
    9,306
    Comparisons
    7,320
    Reviews
    9
    Average Words per Review
    407
    Rating
    8.8
    Comparisons
    Also Known As
    Microsoft PDW, SQL Server Data Warehouse, Microsoft SQL Server Parallel Data Warehouse, MS Parallel Data Warehouse
    Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
    Learn More
    Overview

    The traditional structured relational data warehouse was never designed to handle the volume of exponential data growth, the variety of semi-structured and unstructured data types, or the velocity of real time data processing. Microsoft's SQL Server data warehouse solution integrates your traditional data warehouse with non-relational data and it can handle data of all sizes and types, with real-time performance.

    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

    Offer
    Learn more about Microsoft Parallel Data Warehouse
    Learn more about Vertica
    Sample Customers
    Auckland Transport, Erste Bank Group, Urban Software Institute, NJVC, Sheraton Hotels and Resorts, Tata Steel Europe
    Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
    Top Industries
    REVIEWERS
    Computer Software Company21%
    Hospitality Company14%
    Pharma/Biotech Company14%
    Comms Service Provider7%
    VISITORS READING REVIEWS
    Computer Software Company22%
    Financial Services Firm12%
    Comms Service Provider11%
    Insurance Company10%
    REVIEWERS
    Computer Software Company21%
    Media Company18%
    Marketing Services Firm15%
    Comms Service Provider12%
    VISITORS READING REVIEWS
    Computer Software Company20%
    Comms Service Provider13%
    Financial Services Firm13%
    Manufacturing Company7%
    Company Size
    REVIEWERS
    Small Business31%
    Midsize Enterprise12%
    Large Enterprise58%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise14%
    Large Enterprise67%
    REVIEWERS
    Small Business32%
    Midsize Enterprise26%
    Large Enterprise42%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise13%
    Large Enterprise71%
    Buyer's Guide
    Microsoft Parallel Data Warehouse vs. Vertica
    November 2022
    Find out what your peers are saying about Microsoft Parallel Data Warehouse vs. Vertica and other solutions. Updated: November 2022.
    653,522 professionals have used our research since 2012.

    Microsoft Parallel Data Warehouse is ranked 15th in Data Warehouse with 3 reviews while Vertica is ranked 4th in Data Warehouse with 14 reviews. Microsoft Parallel Data Warehouse is rated 7.4, while Vertica is rated 8.6. The top reviewer of Microsoft Parallel Data Warehouse writes "The admission tools, BI tools, and data warehousing tools are great". On the other hand, the top reviewer of Vertica writes "Enhanced capabilities, good customer service, large data scalability and stable". Microsoft Parallel Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, Snowflake, SAP BW4HANA and Apache Hadoop, whereas Vertica is most compared with Snowflake, Teradata, Amazon Redshift, SQL Server and Oracle Exadata. See our Microsoft Parallel Data Warehouse vs. Vertica report.

    See our list of best Data Warehouse vendors.

    We monitor all 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.