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.
$6.25
per TiB (after the 1st 1 TiB per month, which is free)
ibi WebFOCUS
Score 7.0 out of 10
N/A
The ibi™ WebFOCUS® product is an enterprise business intelligence and analytics solution equipped with data management, visual discovery, predictive analytics, and visualizations. Combining these capabilities and data science in one unified containerized platform, the WebFOCUS® solution can be used to make data-driven decisions across the enterprise and provide reports, dashboards, and customer-facing applications at scale.N/A
Pricing
Google BigQueryibi WebFOCUS
Editions & Modules
Standard edition
$0.04 / slot hour
Enterprise edition
$0.06 / slot hour
Enterprise Plus edition
$0.10 / slot hour
No answers on this topic
Offerings
Pricing Offerings
Google BigQueryibi WebFOCUS
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 BigQueryibi WebFOCUS
Top Pros

No answers on this topic

Top Cons

No answers on this topic

Features
Google BigQueryibi WebFOCUS
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Google BigQuery
8.4
50 Ratings
4% below category average
ibi WebFOCUS
-
Ratings
Automatic software patching8.117 Ratings00 Ratings
Database scalability8.850 Ratings00 Ratings
Automated backups8.524 Ratings00 Ratings
Database security provisions8.743 Ratings00 Ratings
Monitoring and metrics8.445 Ratings00 Ratings
Automatic host deployment8.113 Ratings00 Ratings
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Google BigQuery
-
Ratings
ibi WebFOCUS
7.7
11 Ratings
6% below category average
Pixel Perfect reports00 Ratings7.06 Ratings
Customizable dashboards00 Ratings9.011 Ratings
Report Formatting Templates00 Ratings7.011 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Google BigQuery
-
Ratings
ibi WebFOCUS
9.3
13 Ratings
14% above category average
Drill-down analysis00 Ratings8.013 Ratings
Formatting capabilities00 Ratings10.013 Ratings
Integration with R or other statistical packages00 Ratings9.08 Ratings
Report sharing and collaboration00 Ratings10.012 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Google BigQuery
-
Ratings
ibi WebFOCUS
8.2
11 Ratings
2% below category average
Publish to Web00 Ratings10.09 Ratings
Publish to PDF00 Ratings8.09 Ratings
Report Versioning00 Ratings6.010 Ratings
Report Delivery Scheduling00 Ratings10.011 Ratings
Delivery to Remote Servers00 Ratings7.03 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Google BigQuery
-
Ratings
ibi WebFOCUS
6.3
10 Ratings
25% below category average
Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings6.08 Ratings
Location Analytics / Geographic Visualization00 Ratings7.09 Ratings
Predictive Analytics00 Ratings6.07 Ratings
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
Google BigQuery
-
Ratings
ibi WebFOCUS
9.0
11 Ratings
4% above category average
Multi-User Support (named login)00 Ratings8.011 Ratings
Role-Based Security Model00 Ratings10.011 Ratings
Multiple Access Permission Levels (Create, Read, Delete)00 Ratings10.011 Ratings
Single Sign-On (SSO)00 Ratings8.04 Ratings
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
Google BigQuery
-
Ratings
ibi WebFOCUS
5.9
11 Ratings
30% below category average
Responsive Design for Web Access00 Ratings9.011 Ratings
Mobile Application00 Ratings3.32 Ratings
Dashboard / Report / Visualization Interactivity on Mobile00 Ratings8.08 Ratings
Application Program Interfaces (APIs) / Embedding
Comparison of Application Program Interfaces (APIs) / Embedding features of Product A and Product B
Google BigQuery
-
Ratings
ibi WebFOCUS
8.6
3 Ratings
8% above category average
REST API00 Ratings10.01 Ratings
Javascript API00 Ratings8.02 Ratings
iFrames00 Ratings8.02 Ratings
Themeable User Interface (UI)00 Ratings8.03 Ratings
Customizable Platform (Open Source)00 Ratings9.01 Ratings
Best Alternatives
Google BigQueryibi WebFOCUS
Small Businesses
SingleStore
SingleStore
Score 9.7 out of 10
BrightGauge
BrightGauge
Score 8.9 out of 10
Medium-sized Companies
SingleStore
SingleStore
Score 9.7 out of 10
Reveal
Reveal
Score 9.9 out of 10
Enterprises
SingleStore
SingleStore
Score 9.7 out of 10
Jaspersoft Community Edition
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Score 9.7 out of 10
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User Ratings
Google BigQueryibi WebFOCUS
Likelihood to Recommend
8.6
(50 ratings)
7.0
(16 ratings)
Likelihood to Renew
7.0
(1 ratings)
8.6
(5 ratings)
Usability
9.4
(3 ratings)
8.0
(3 ratings)
Availability
-
(0 ratings)
9.0
(1 ratings)
Support Rating
10.0
(9 ratings)
7.0
(3 ratings)
Online Training
-
(0 ratings)
6.0
(1 ratings)
Implementation Rating
-
(0 ratings)
8.0
(1 ratings)
Contract Terms and Pricing Model
10.0
(1 ratings)
-
(0 ratings)
Professional Services
8.2
(2 ratings)
-
(0 ratings)
User Testimonials
Google BigQueryibi WebFOCUS
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.
Read full review
IBI (Information Builders)
I would less recommend it because it looks like IBI is receding a bit from the European market. I would not be certain for future support. Knowledge in the market in western Europe is limited Functional wise the application suits almost all situations. I would for sure recommend it purely based on its capabilities
Read full review
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.
Read full review
IBI (Information Builders)
  • One thing that has always been good at WebFOCUS is how they interact with the customer on items. They take suggestions and implement them. In addition technical support is timely and very detailed.
  • I think they keep up with and lead in implementing new technologies in the BI space. One case of this are the ability for user to create their own easy dashboard using the green plus buttons. Also the ability to link d3 into and have the ability to implement new types of graphs is nice.
  • I have been to a spoke at one of their user conferences and they are worth going to. In addition to all of the great seminars the interaction you get with vendors and other users is key in the growth of your knowledge. I've learned so much for my time at these conferences.
Read full review
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.
Read full review
IBI (Information Builders)
  • The newest versions of WebFOCUS have an unnecessarily complicated security layout that makes configuration difficult to accomplish without bringing in the vendor for installs.
  • This software tries to cover too many bases allowing you to switch from writing code manually to creating reports using only GUI tools. This sometimes complicates screens and functionality where the two methods don't always work well together. -though its nice to have the choice.
  • The sales force is not as top notch as many software companies
Read full review
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.
Read full review
IBI (Information Builders)
This software is deeply engrained with my organization and has become a tool that would not easily be replaced without spending more money and resources to get the same results. License cost is comparable to other report writing tools and the capabilities are greater than the competition without having to buy multiple apps to do the same thing.
Read full review
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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IBI (Information Builders)
Best BI tool/product I have used. The others don't compare overall. Some can look fancier, but when you actually use them with large data and data from numerous systems/sources that is where most of the competition falls away. I also don't like downtime. I have basically none for a large user base with WebFocus. Even SAP Crystal Reports went down for 4 days once - 4 days because the admin password got locked out due to a glitch and we had zero reports for 4 days. WebFocus has never had more than a few minutes of downtime. It's like a tank that just keeps rolling. There is no other choice for reliable BI.
Read full review
Reliability and Availability
Google
No answers on this topic
IBI (Information Builders)
Tracking availability formally for almost two years and we are at 99.8%
Read full review
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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IBI (Information Builders)
They have extremely knowledgeable techs that I have worked with over the years. Some have actually become really good friends of mine. I see them often at local user groups and when we show them how we are using their tools to save millions of dollars throughout the company
Read full review
Online Training
Google
No answers on this topic
IBI (Information Builders)
It's hit and miss, the last class was overcrowded and people were having trouble connecting which took up much of the time. Instructors vary
Read full review
Implementation Rating
Google
No answers on this topic
IBI (Information Builders)
Plan ahead on what data will be accessible and the type of security required on the database and if you will want to use security that is built into the software. It is worth consulting with the vendor on what your plan is and how they recommend you proceed in order to get results you are happy with.
Read full review
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.
Read full review
IBI (Information Builders)
Webfocus handles the side of our business that is involved with our catalogs. Our catalogs is a huge revenue driver for us and this tool has been extremely useful with planning feature catalogs. Tableau is used more for marketing and merchandising purchases since we can filter data based on website sales.
Read full review
Contract Terms and Pricing Model
Google
None so far. Very satisfied with the transparency on contract terms and pricing model.
Read full review
IBI (Information Builders)
No answers on this topic
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.
Read full review
IBI (Information Builders)
No answers on this topic
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.
Read full review
IBI (Information Builders)
  • We are not yet a success story. Though we've been implementing WebFOCUS for over a year, we have very few products in our Production portal. Of course, this is not all the responsibility of Information Builders, but we were ill-advised by our 'training coordinator' in our training of staff and coming up to speed with the tools has been very slow.
  • Once skilled analysts and professional IT staff achieve a grasp of the products, they are able to very quickly create polished and well-received products.
  • The DW/BI project has helped us to establish standards and protocols of communication that will allow us to more quickly meet knowledge transfer requirements
Read full review
ScreenShots

Google BigQuery Screenshots

Screenshot of Migrating data warehouses to BigQuery - Features a streamlined migration path from Netezza, Oracle, Redshift, Teradata, or Snowflake to BigQuery using the fully managed BigQuery Migration Service.Screenshot of bringing any data into BigQuery - Data files can be uploaded from local sources, Google Drive, or Cloud Storage buckets, using BigQuery Data Transfer Service (DTS), Cloud Data Fusion plugins, by replicating data from relational databases with Datastream for BigQuery, or by leveraging Google's data integration partnerships.Screenshot of generative AI use cases with BigQuery and Gemini models - Data pipelines that blend structured data, unstructured data and generative AI models together can be built to create a new class of analytical applications. BigQuery integrates with Gemini 1.0 Pro using Vertex AI. The Gemini 1.0 Pro model is designed for higher input/output scale and better result quality across a wide range of tasks like text summarization and sentiment analysis. It can be accessed using simple SQL statements or BigQuery’s embedded DataFrame API from right inside the BigQuery console.Screenshot of insights derived from images, documents, and audio files, combined with structured data - Unstructured data represents a large portion of untapped enterprise data. However, it can be challenging to interpret, making it difficult to extract meaningful insights from it. Leveraging the power of BigLake, users can derive insights from images, documents, and audio files using a broad range of AI models including Vertex AI’s vision, document processing, and speech-to-text APIs, open-source TensorFlow Hub models, or custom models.Screenshot of event-driven analysis - Built-in streaming capabilities automatically ingest streaming data and make it immediately available to query. This allows users to make business decisions based on the freshest data. Or Dataflow can be used to enable simplified streaming data pipelines.Screenshot of predicting business outcomes AI/ML - Predictive analytics can be used to streamline operations, boost revenue, and mitigate risk. BigQuery ML democratizes the use of ML by empowering data analysts to build and run models using existing business intelligence tools and spreadsheets.