Teradata vs Vertica comparison

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Comparison Buyer's Guide
Executive Summary

We performed a comparison between Teradata 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 Teradata vs. Vertica Report (Updated: March 2024).
765,234 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
"​Building a data warehouse with Teradata has definitely helped a lot of our downstream applications to more easily access information.""​We really enjoy the FastLoad, TPump, and MultiLoad features.​""The initial setup was straightforward.""Teradata's best feature is its speed with historical data.""I found all parts --loading, transformation, processing & querying work in parallel, and end-to-end-- to be valuable.""Teradata can be deployed on-premise, on the cloud, or in a virtual machine, which means customers can move without having to create their architecture all over again.""Teradata's most valuable feature is that it's easy to use.""The key advantages are Performance when processing Terabytes of data and scalability."

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"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.""Integrated R and geospatial functions are helping us improve efficiency and explore new revenue streams. ​""It has improved my organization's functionality and performance.""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.""Allows us to take volumes and process them at a very high speed.""DBAs don’t need to add a partition every month/quarter like with other DBs.""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.""The Vertica architecture means it can process/ingest data in parallel to reporting and analyzing because of its in-memory Write-Optimized Storage sitting alongside the analytics optimized Read-Optimized Storage."

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Cons
"I've been using the same UI for 20 years in Teradata. It could use some updating. Adding more stability around Teradata Studio would be outstanding. Teradata Studio is a Java-based version of their tool. It's much better now, but it still has some room for improvement.""Teradata is an old data warehouse, and they're not improving in terms of new, innovative features.""It needs a teaching web site with more training on third-party tools used for BI.""Teradata needs to pay attention to the cloud-based solution to make sure it runs smoothly.""Teradata hardly supports unstructured data or semi-structured data""Teradata is an expensive tool. Like, if you're already using Microsoft products like Windows, they'll market all their products together. And with the rise of cloud technologies, companies will adopt solutions that offer them some privileges or facilities. Similar to how SAP does it in the market, so do Microsoft and other companies. Even Oracle and other such tools are quite commonly seen compared to Teradata's competitors in everyday solutions.""I would like to see more integration with many different types of data.""The setup is not straightforward."

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"Vertica seems to scale well, except for one use case where you are on a multi-node cluster. For example, if you had a nine-node cluster, one node goes down, then the eight nodes don't scale, because the absence of the node is very apparent, which is a problem. If you have nine nodes or multiple nodes, the whole idea is that if one of those nodes goes down, then you should not see an impact on the system if you have enough capacity. Even though we have enough capacity, you can still see the impact of the one node going down.""They could improve the integration and some of the features in the cloud version.""It needs integration with multiple clouds.""We faced some challenges when trying to use the temporary tables feature.""The integration with AI has room for improvement.""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.""I would personally like to see extended developer tooling suited to Vertica – think published PowerDesigner SQL dialect support.""Some of our small to medium-sized customers would like to see containerization and flexibility from the deployment standpoint."

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Pricing and Cost Advice
  • "Teradata is not cheap, but you get what you pay for."
  • "Make sure you have the in-house skills to design and support the solution, as relying on external sources is extremely costly and tends to lock you into specific platforms, tools, and paradigms."
  • "In the past, it turned out that other solutions, in order to provide the full range of abilities that the Teradata platform provides plus the migration costs, would end up costing more than Teradata does."
  • "The initial cost may seem high, but the TCO is low."
  • "Teradata is currently making improvements in this area."
  • "It is still a very expensive solution. While I very much like the pure technological supremacy of the software itself, I believe Teradata as a company needs to become more affordable. They are already losing the market to more flexible or cheaper competitors."
  • "Teradata is expensive but gives value for money, especially if you don't want to move your data to the cloud."
  • "Price is quite high, so if it is really possible to use other solutions (e.g. you do not have strict requirements for performance and huge data volumes), it might be better to look at alternatives from the RDBMS world."
  • More Teradata 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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    Comparison Review
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    Questions from the Community
    Top Answer: I have spoken to my colleagues about this comparison and in our collective opinion, the reason why some people may declare Teradata better than Oracle is the pricing. Both solutions are quite… more »
    Top Answer: Before my organization implemented this solution, we researched which big brands were using Teradata, so we knew if it would be compatible with our field. According to the product's site, the… more »
    Top Answer:Teradata is not a difficult product to work with, especially since they offer you technical support at all levels if you just ask. There are some features that may cause difficulties - for example… 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
    3rd
    out of 33 in Data Warehouse
    Views
    6,277
    Comparisons
    5,267
    Reviews
    19
    Average Words per Review
    451
    Rating
    8.1
    4th
    out of 33 in Data Warehouse
    Views
    4,414
    Comparisons
    3,480
    Reviews
    10
    Average Words per Review
    353
    Rating
    8.3
    Comparisons
    SQL Server logo
    Compared 20% of the time.
    Snowflake logo
    Compared 12% of the time.
    Oracle Exadata logo
    Compared 10% of the time.
    MySQL logo
    Compared 10% of the time.
    IBM Db2 Database 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.
    Oracle Exadata logo
    Compared 6% of the time.
    BigQuery logo
    Compared 5% of the time.
    Also Known As
    Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
    Learn More
    Overview

    Teradata is a multi-cloud data platform company that provides data warehouse and relational database tools. The brand has an extensive portfolio of big data analytic solutions, integrated marketing applications, and services. The products that Teradata offers can be categorized in the following ways:

    • Software: The products in this category include Teradata Vantage, an advanced SQL engine and Teradata database.

    • Cloud: The solutions can work with popular cloud services such as Amazon AWS, Microsoft Azure, Google Cloud Platform, and VMware. Teradata Cloud and customer cloud are also included in this product category.

    • Ecosystem management: The products in this section include IntelliSphere, business continuity manager, data lab, data mover, data stream, QueryGrid, and viewpoint.

    • Hardware: This category includes backup, archive, and restore (BAR) and IntelliFlex.

    • Applications: Master data management (MDM) and Teradata analytics for enterprise applications are the two products in this category.

    One of the most popular and commonly used products by Teradata is Teradata Vantage. This is a connected multi-cloud data platform for enterprise analytics. The product unifies data lakes, analytics, and data warehouses, as well as data sources and types. The solution offers its customers scalability, which allows them to scale dimensions to handle massive workloads of data. Teradata Vantage utilizes artificial intelligence (AI) and machine learning (ML) to power more models and enhance quality.

    Through Vantage Console, businesses can benefit from role-based, no-code software to organize and manage their data. The product offers deployment on many popular public clouds, on premises, and on commodity hardware. Teradata Vantage unifies and integrates all data types from sources and provides companies with a single source of information. It achieves this by supporting all common data types and formats. The product also provides organizations with tools for monitoring, analyzing, and connecting data throughout the organizations.

    Part of this product is also VantageCloud, which offers a modern cloud-native architecture as well as hybrid and multi-cloud deployment options. This solution offers new ways for clients to deploy their platforms. These include the next-generation, cloud-native architecture of Teradata VantageCloud Lake.

    Teradata Features

    The different products that Teradata offers have various features which facilitate data management for customers. Some of the key capabilities of the solutions offered by Teradata include:

    • Connectivity: Users can benefit from connections to the mainframe or network-attached systems. The product provides its own extension for interaction with data stored in the tables. It also supports SQL.

    • Linear scalability: Teradata solutions are highly scalable and linear. The solution can handle large volumes of data effectively while also supporting the ability to scale up to 2048 nodes.

    • Load and unload utilities: The product offers features to move data in and out of the product's system effectively.

    • Mature optimizer: Part of this feature is Teradata Optimizer, which is an advanced product that can handle up to 64 joins in a single query.

    • Robust utilities: The solution includes multiple robust utilities in this category of features that facilitate data handling in and out of the product's systems. The tools include MultiLoad, FastLoad, and FastExport.

    • Shared nothing architecture: This set of features, connected to the architecture of Teradata, is known as “shared nothing architecture” because the nodes, processors, and disks all work independently. These capacities ensure better value for a given task.

    • Unlimited parallelism: These features divide large volumes of data into smaller processes that are executed in parallel. This contributes to the execution of complex tasks in a timely manner.

    Teradata Benefits

    Through its multiple solutions, Teradata offers various benefits for its clients. Some of these include:

    • The solution facilitates prototype creation and offers faster times for completion.

    • Through Teradata, users are able to use faster, simpler, and easier solutions for data-related tasks.

    • The product eliminates the need for unnecessary data movement, which contributes to performance improvements.

    • Teradata offers developers the ability to decide where in the architecture different parts of an application run.

    • Teradata allows database administrators to manage databases from a single point of control.

    • The solution provides the option to get the same data on multiple deployment options.

    • The product supports Online Analytical Programming (OLAP) functions, which allows it to perform a complex analytical process of data.

    • Teradata uses the Service Workstation to provide a single operation view for the multi-node system of the product.

    Reviews from Real Users

    Martin P., a services manager at Bytes Systems Integration, describes Teradata as a product that is very fast with good database control and excellent support.

    Blaine V., principal at Insight Data Consulting, rates Teradata highly because of its excellent native features, highly stable, and impressive automation.

    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
    Netflix
    Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
    Top Industries
    REVIEWERS
    Comms Service Provider26%
    Computer Software Company22%
    Financial Services Firm9%
    Energy/Utilities Company9%
    VISITORS READING REVIEWS
    Financial Services Firm26%
    Computer Software Company10%
    Manufacturing Company8%
    Healthcare Company7%
    REVIEWERS
    Computer Software Company20%
    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 Business33%
    Midsize Enterprise11%
    Large Enterprise56%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise9%
    Large Enterprise77%
    REVIEWERS
    Small Business31%
    Midsize Enterprise27%
    Large Enterprise42%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise14%
    Large Enterprise66%
    Buyer's Guide
    Teradata vs. Vertica
    March 2024
    Find out what your peers are saying about Teradata vs. Vertica and other solutions. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    Teradata is ranked 3rd in Data Warehouse with 54 reviews while Vertica is ranked 4th in Data Warehouse with 82 reviews. Teradata is rated 8.2, while Vertica is rated 8.4. The top reviewer of Teradata writes "Offers seamless integration capabilities and performance optimization features, including extensive indexing and advanced tuning capabilities". On the other hand, the top reviewer of Vertica writes " A user-friendly tool that needs to improve its documentation part". Teradata is most compared with SQL Server, Snowflake, Oracle Exadata, MySQL and IBM Db2 Database, whereas Vertica is most compared with Snowflake, SQL Server, Amazon Redshift, Oracle Exadata and BigQuery. See our Teradata vs. Vertica report.

    See our list of best Data Warehouse vendors and best Cloud 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.