Google BigQuery vs. HCL Vector Analytics Database

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Google BigQuery
Score 8.6 out of 10
N/A
Google's BigQuery is part of the Google Cloud Platform, a database-as-a-service (DBaaS) supporting the querying and rapid analysis of enterprise data.
$0
per month
HCL Vector Analytics Database
Score 5.0 out of 10
N/A
Vector, an analytics database, handles continuous updates without a performance penalty. Vector is designed to achieve extreme performance with full ACID compliance on commodity hardware with the flexibility to deploy on-premises, and on AWS, Azure, and Google Cloud with little or no database tuning.N/A
Pricing
Google BigQueryHCL Vector Analytics Database
Editions & Modules
Standard edition
$0.04 / slot hour
Enterprise edition
$0.06 / slot hour
Enterprise Plus edition
$0.10 / slot hour
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Offerings
Pricing Offerings
Google BigQueryHCL Vector Analytics Database
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Google BigQueryHCL Vector Analytics Database
Top Pros

No answers on this topic

Top Cons

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Features
Google BigQueryHCL Vector Analytics Database
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Google BigQuery
8.5
51 Ratings
3% below category average
HCL Vector Analytics Database
-
Ratings
Automatic software patching8.117 Ratings00 Ratings
Database scalability8.851 Ratings00 Ratings
Automated backups8.524 Ratings00 Ratings
Database security provisions8.844 Ratings00 Ratings
Monitoring and metrics8.546 Ratings00 Ratings
Automatic host deployment8.113 Ratings00 Ratings
Best Alternatives
Google BigQueryHCL Vector Analytics Database
Small Businesses
SingleStore
SingleStore
Score 9.7 out of 10
SingleStore
SingleStore
Score 9.7 out of 10
Medium-sized Companies
SingleStore
SingleStore
Score 9.7 out of 10
SingleStore
SingleStore
Score 9.7 out of 10
Enterprises
SingleStore
SingleStore
Score 9.7 out of 10
SingleStore
SingleStore
Score 9.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Google BigQueryHCL Vector Analytics Database
Likelihood to Recommend
8.6
(51 ratings)
-
(0 ratings)
Likelihood to Renew
7.0
(1 ratings)
-
(0 ratings)
Usability
9.4
(3 ratings)
-
(0 ratings)
Support Rating
10.0
(9 ratings)
-
(0 ratings)
Contract Terms and Pricing Model
10.0
(1 ratings)
-
(0 ratings)
Professional Services
8.2
(2 ratings)
-
(0 ratings)
User Testimonials
Google BigQueryHCL Vector Analytics Database
Likelihood to Recommend
Google
For organizations looking to avoid the overhead of managing infrastructure, BigQuery's server-less architecture allows teams to focus on analyzing data without worrying about server maintenance or capacity planning. Small projects or startups with limited data analysis needs and tight budgets might find other solutions more cost-effective. Also, it is not suitable for OLTP systems.
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HCL Technologies
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Pros
Google
  • Its serverless architecture and underlying Dremel technology are incredibly fast even on complex datasets. I can get answers to my questions almost instantly, without waiting hours for traditional data warehouses to churn through the data.
  • Previously, our data was scattered across various databases and spreadsheets and getting a holistic view was pretty difficult. Google BigQuery acts as a central repository and consolidates everything in one place to join data sets and find hidden patterns.
  • Running reports on our old systems used to take forever. Google BigQuery's crazy fast query speed lets us get insights from massive datasets in seconds.
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HCL Technologies
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Cons
Google
  • Can't use it out of Google's cloud platform which is a minus point if you want a local setup.
  • Can be a little expensive to manage.
  • A little difficult to manage someone with less technical expertise as it requires you to have SQL knowledge of joins, CTEs etc.
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HCL Technologies
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Likelihood to Renew
Google
We have to use this product as its a 3rd party supplier choice to utilise this product for their data side backend so will not be likely we will move away from this product in the future unless the 3rd party supplier decides to change data vendors.
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HCL Technologies
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Usability
Google
web UI is easy and convenient. Many RDBMS clients such as aqua data studio, Dbeaver data grid, and others connect. Range of well-documented APIs available. The range of features keeps expanding, increasing similar features to traditional RDBMS such as Oracle and DB2
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HCL Technologies
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Support Rating
Google
BigQuery can be difficult to support because it is so solid as a product. Many of the issues you will see are related to your own data sets, however you may see issues importing data and managing jobs. If this occurs, it can be a challenge to get to speak to the correct person who can help you.
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HCL Technologies
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Alternatives Considered
Google
Google's Firebase isn't a competitor but we had to use Google's BigQuery because Google's Firebase's database is limited compared to Google's BigQuery. Linking your Firebase project to BigQuery lets you access your raw, unsampled event data along with all of your parameters and user properties. Highly recommend connecting the two if you have a mobile app.
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HCL Technologies
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Contract Terms and Pricing Model
Google
None so far. Very satisfied with the transparency on contract terms and pricing model.
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HCL Technologies
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Professional Services
Google
Google Support has kindly provide individual support and consultants to assist with the integration work. In the circumstance where the consultants are not present to support with the work, Google Support Helpline will always be available to answer to the queries without having to wait for more than 3 days.
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HCL Technologies
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Return on Investment
Google
  • Google BigQuery has had enormous impact in terms of ROI to our business, as it has allowed us to ease our dependence on our physical servers, which we pay for monthly from another hosting service. We have been able to run multiple enterprise scale data processing applications with almost no investment
  • Since our business is highly client focused, Google Cloud Platform, and BigQuery specifically, has allowed us to get very granular in how our usage should be attributed to different projects, clients, and teams.
  • Plain and simple, I believe the meager investments that we have made in Google BigQuery have paid themselves back hundreds of times over.
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HCL Technologies
No answers on this topic
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