Dremio vs Vertica comparison

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Executive Summary

We performed a comparison between Dremio 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 Dremio vs. Vertica Report (Updated: March 2024).
768,857 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
"Dremio gives you the ability to create services which do not require additional resources and sterilization.""Everyone uses Dremio in my company; some use it only for the analytics function.""Dremio allows querying the files I have on my block storage or object storage.""Dremio enables you to manage changes more effectively than any other data warehouse platform. There are two things that come into play. One is data lineage. If you are looking at data in Dremio, you may want to know the source and what happened to it along the way or how it may have been transformed in the data pipeline to get to the point where you're consuming it.""The most valuable feature of Dremio is it can sit on top of any other data storage, such as Amazon S3, Azure Data Factory, SGFS, or Hive. The memory competition is good. If you are running any kind of materialized view, you'd be running in memory.""We primarily use Dremio to create a data framework and a data queue."

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"Partition and join back to node are easy and simple for DBAs.""It maximize cloud economics for mission-critical big data analytical initiatives.""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 feature of the product that is most important is the speed. I needed a columnar database, and its speed is what it's built to do, and so that's what really does differentiate Vertica from its competitors.""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.""The most valuable feature of Vertica is the unmatchable database performance.""The solution is quick, has good compression data, and is not expensive.""I enjoy the cybersecurity and backup features."

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Cons
"Dremio doesn't support the Delta connector. Dremio writes the IT support for Delta, but the support isn't great. There is definitely room for improvement.""We've faced a challenge with integrating Dremio and Databricks, specifically regarding authentication. It is not shaking hands very easily.""It shows errors sometimes.""Dremio takes a long time to execute large queries or the executing of correlated queries or nested queries. Additionally, the solution could improve if we could read data from the streaming pipelines or if it allowed us to create the ETL pipeline directly on top of it, similar to Snowflake.""I cannot use the recursive common table expression (CTE) in Dremio because the support page says it's currently unsupported.""They have an automated tool for building SQL queries, so you don't need to know SQL. That interface works, but it could be more efficient in terms of the SQL generated from those things. It's going through some growing pains. There is so much value in tools like these for people with no SQL experience. Over time, Dermio will make these capabilities more accessible to users who aren't database people."

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"The integration with AI has room for improvement.""They could improve the integration and some of the features in the cloud version.""The geospatial functionality could be designed better.""Whatever's out, the core is not always as great as the engine, especially their first version.""I have found that coding support could be simplified.""If you do not utilize the tuning tools like projections, encoding, partitions, and statistics, then performance and scalability will suffer.""When it is about to reach the maximum storage capacity, it becomes slow.""I believe the installation process could be streamlined."

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Pricing and Cost Advice
  • "Right now the cluster costs approximately $200,000 per month and is based on the volume of data we have."
  • "Dremio is less costly competitively to Snowflake or any other tool."
  • More Dremio 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:Dremio allows querying the files I have on my block storage or object storage.
    Top Answer:Every tool has a value based on its visualization, and the pricing is worth its value.
    Top Answer:Dremio's interface is good, but it has a few limitations. I cannot do a lot of things with ANSI SQL or basic SQL. I cannot use the recursive common table expression (CTE) in Dremio because the support… 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
    11th
    Views
    1,018
    Comparisons
    763
    Reviews
    6
    Average Words per Review
    530
    Rating
    8.7
    6th
    Views
    3,639
    Comparisons
    2,841
    Reviews
    10
    Average Words per Review
    353
    Rating
    8.3
    Comparisons
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    Snowflake logo
    Compared 18% of the time.
    Starburst Enterprise logo
    Compared 12% of the time.
    Amazon Redshift logo
    Compared 4% of the time.
    Snowflake logo
    Compared 18% of the time.
    SQL Server logo
    Compared 15% of the time.
    Amazon Redshift logo
    Compared 11% of the time.
    Teradata logo
    Compared 10% of the time.
    Oracle Exadata logo
    Compared 7% of the time.
    Also Known As
    Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
    Learn More
    Dremio
    Video Not Available
    Overview

    Dremio is a data lake query engine tool that creates PDSs and VDSs on top of S3 buckets. It is used for managing simple ad-hoc queries and as a greater layer for ad-hoc queries. The most valuable features of Dremio include its ability to sit on top of any data storage, generate refresh reflections and create visuals, manage changes effectively through data lineage and data providence capabilities, use open-source, and address the problem of data transfer when working with large datasets. The use cases are broad, allowing for high-performance queries from a data lake.

    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
    UBS, TransUnion, Quantium, Daimler, OVH
    Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm30%
    Computer Software Company11%
    Manufacturing Company8%
    Retailer4%
    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
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise11%
    Large Enterprise74%
    REVIEWERS
    Small Business32%
    Midsize Enterprise26%
    Large Enterprise42%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise14%
    Large Enterprise66%
    Buyer's Guide
    Dremio vs. Vertica
    March 2024
    Find out what your peers are saying about Dremio vs. Vertica and other solutions. Updated: March 2024.
    768,857 professionals have used our research since 2012.

    Dremio is ranked 11th in Cloud Data Warehouse with 6 reviews while Vertica is ranked 6th in Cloud Data Warehouse with 83 reviews. Dremio is rated 8.6, while Vertica is rated 8.2. The top reviewer of Dremio writes "It enables you to manage changes more effectively than any other platform". On the other hand, the top reviewer of Vertica writes " A user-friendly tool that needs to improve its documentation part". Dremio is most compared with Databricks, Snowflake, Starburst Enterprise and Amazon Redshift, whereas Vertica is most compared with Snowflake, SQL Server, Amazon Redshift, Teradata and Oracle Exadata. See our Dremio 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.