BigQuery vs Vertica comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

BigQuery
Ranking in Cloud Data Warehouse
5th
Average Rating
8.2
Number of Reviews
31
Ranking in other categories
No ranking in other categories
Vertica
Ranking in Cloud Data Warehouse
7th
Average Rating
8.2
Number of Reviews
83
Ranking in other categories
Data Warehouse (4th)
 

Market share comparison

As of June 2024, in the Cloud Data Warehouse category, the market share of BigQuery is 11.8% and it increased by 87.6% compared to the previous year. The market share of Vertica is 7.6% and it increased by 41.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Warehouse
Unique Categories:
No other categories found
Data Warehouse
10.6%
 

Featured Reviews

Shan-Khan - PeerSpot reviewer
Jan 19, 2023
Excellent pricing, fantastic capabilities with online documentation for support
Our primary use case is for data processing and searching the data. It is basically a data warehouse. We use BigQuery to process and store the data and gather the data from BigQuery to build machine learning models When integrating their system into the cloud-based solutions, we were able to…
AG
Sep 8, 2023
Allows us to take volumes and process them at a very high speed
Primary use case is advanced analytics over huge amounts of data. Vertica provides high speed access to high volumes Previous to Vertica, some analysis could not be made because of the amount of data needed. Vertica allowed us to take those volumes and process them at a very high speed.…

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"One of the most significant advantages lies in the decoupling of storage and compute which allows to independently scale storage and compute resources, with the added benefit of extremely cost-effective storage akin to object storage solutions."
"The initial setup process is easy."
"What I like most about BigQuery is that it's fast and flexible. Another advantage of BigQuery is that it's easy to learn."
"The integrated data storage features are good."
"The initial setup is straightforward."
"The product is serverless. We only need to write SQL queries to analyze the data. We need to pay based on the number of queries. The retrieval time is very less. Even if you write large queries, the tool is able to bring back data in a few seconds."
"The most valuable features of BigQuery is that it supports standard SQL and provides good performance."
"As a cloud solution, it's easy to set up."
"It has improved my organization's functionality and performance."
"I enjoy the cybersecurity and backup features."
"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."
"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."
"Vertica's most outstanding features are the compression rates achieved and the speed of access of high volume data."
"For me, It's performance, scalability, low cost, and it's integrated into enterprise and big data environments."
"The extensibility and efficiency provided by their C++ SDK."
"Vertica is a columnar database, this support our developments in analytics, advanced analytics, and ETL process with large sets of data."
 

Cons

"I would like to see version-based implementation and a fallback arrangement for data stored in BigQuery storage. These are some features I'm interested in."
"It would be helpful if they could provide some dashboards where you can easily view charts and information."
"We'd like to see more local data residency."
"The main challenges are in the areas of performance and cost optimizations."
"There is a good amount of documentation out there, but they're consistently making changes to the platform, and, like, their literature hasn't been updated on some plans."
"Some of the queries are complex and difficult to understand."
"The initial setup could be improved making it easier to deploy."
"The primary hurdle in this migration lies in the initial phase of moving substantial volumes of data to cloud-based platforms."
"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."
"The biggest problem is the cost of cloud deployment."
"Very bad support, I would rate it two out of 10."
"It would be great if this were a managed service in AWS."
"Suboptimal projection design causes queries to not scale linearly."
"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."
"It needs integration with multiple clouds."
"The documentation of Vertica is an area with shortcomings where improvements are required."
 

Pricing and Cost Advice

"1 TB is free of cost monthly. If you use more than 1 TB a month, then you need to pay 5 dollars extra for each TB."
"The pricing is good and there are no additional costs involved."
"The pricing is adaptable, ensuring that organizations can tailor their usage and costs based on their specific requirements and configurations within the Google Cloud Platform."
"The solution's pricing is cheaper compared to other solutions."
"One terabyte of data costs $20 to $22 per month for storage on BigQuery and $25 on Snowflake. Snowflake is costlier for one terabyte, but BigQuery charges based on how much data is inserted into the tables. BigQuery charges you based on the amount of data that you handle and not the time in which you handle it. This is why the pricing models are different and it becomes a key consideration in the decision of which platform to use."
"Price-wise, I think that is very reasonable."
"The platform is inexpensive."
"The price could be better. Usually, you need to buy the license for a year. Whenever you want more, you can subscribe to it, and you can use it. Otherwise, you can terminate the license. You can use it daily or monthly, and we use it based on a project's requirements."
"I am aware that we have licensed it, but I have no knowledge of its cost."
"The solution is free and we pay for the storage."
"Vertica is an expensive tool."
"Work with a vendor, if possible, and take advantage of more aggressive discounts at mid-fiscal year (April) and fiscal year-end (October).​"
"It is fast to purchase through the AWS Marketplace."
"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."
"Read the fine print carefully."
"The pricing and licensing depend on the size of your environment and the zone where you want to implement."
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Top Industries

By visitors reading reviews
Computer Software Company
17%
Financial Services Firm
13%
Manufacturing Company
11%
Retailer
7%
Financial Services Firm
17%
Computer Software Company
16%
Manufacturing Company
8%
Comms Service Provider
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about BigQuery?
The initial setup process is easy.
What needs improvement with BigQuery?
They could enhance the platform's user accessibility. Currently, the structure of BigQuery leans more towards catering to hard-code developers, making it less user-friendly for data analysts or non...
What do you like most about Vertica?
Vertica is easy to use and provides really high performance, stability, and scalability.
What is your experience regarding pricing and costs for Vertica?
Vertica has a perpetual license, but they are currently trying to convert all those licenses to subscription-based licenses on a yearly basis.
What needs improvement with Vertica?
Vertica's native cloud support could be improved, and its installation could be made easier. It's possible to deploy the solution on different hyperscalers, but it's not an easy process. Vertica is...
 

Comparisons

 

Also Known As

No data available
Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
 

Learn More

 

Overview

 

Sample Customers

Information Not Available
Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
Find out what your peers are saying about BigQuery vs. Vertica and other solutions. Updated: May 2024.
787,383 professionals have used our research since 2012.