Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Google BigQuery
Score 8.8 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
Sisense
Score 7.4 out of 10
N/A
Sisense is a BI software and analytics platform. With what the vendor calls their In-Chip™ and Single Stack™ technologies, users have access to a comprehensive tool to analyze and visualize large, disparate data sets without IT resources.N/A
Pricing
Google BigQueryibi WebFOCUSSisense
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
No answers on this topic
Offerings
Pricing Offerings
Google BigQueryibi WebFOCUSSisense
Free Trial
YesNoYes
Free/Freemium Version
YesNoNo
Premium Consulting/Integration Services
NoNoYes
Entry-level Setup FeeNo setup feeNo setup feeNo setup fee
Additional DetailsMust contact sales team for pricing.
More Pricing Information
Community Pulse
Google BigQueryibi WebFOCUSSisense
Considered Multiple Products
Google BigQuery

No answer on this topic

ibi WebFOCUS

No answer on this topic

Sisense
Chose Sisense
Sisense worked out of the box, there was a lot of setup with the other 3. Out of the 3 others Board's was the only one that connected to Salesforce without a problem like Sisense. Sisense pricing destroyed the other 3 as well.

Features
Google BigQueryibi WebFOCUSSisense
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Google BigQuery
8.5
80 Ratings
0% above category average
ibi WebFOCUS
-
Ratings
Sisense
-
Ratings
Automatic software patching8.017 Ratings00 Ratings00 Ratings
Database scalability9.179 Ratings00 Ratings00 Ratings
Automated backups8.524 Ratings00 Ratings00 Ratings
Database security provisions8.773 Ratings00 Ratings00 Ratings
Monitoring and metrics8.475 Ratings00 Ratings00 Ratings
Automatic host deployment8.013 Ratings00 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
Sisense
9.7
47 Ratings
17% above category average
Pixel Perfect reports00 Ratings7.06 Ratings10.037 Ratings
Customizable dashboards00 Ratings9.011 Ratings10.047 Ratings
Report Formatting Templates00 Ratings7.011 Ratings9.033 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
15% above category average
Sisense
8.8
47 Ratings
9% above category average
Drill-down analysis00 Ratings8.013 Ratings10.047 Ratings
Formatting capabilities00 Ratings10.013 Ratings9.047 Ratings
Integration with R or other statistical packages00 Ratings9.08 Ratings9.027 Ratings
Report sharing and collaboration00 Ratings10.012 Ratings7.33 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
0% below category average
Sisense
10.0
46 Ratings
20% above category average
Publish to Web00 Ratings10.09 Ratings10.036 Ratings
Publish to PDF00 Ratings8.09 Ratings10.046 Ratings
Report Versioning00 Ratings6.010 Ratings10.024 Ratings
Report Delivery Scheduling00 Ratings10.011 Ratings10.039 Ratings
Delivery to Remote Servers00 Ratings7.03 Ratings00 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
24% below category average
Sisense
9.5
45 Ratings
17% above category average
Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings6.08 Ratings10.045 Ratings
Location Analytics / Geographic Visualization00 Ratings7.09 Ratings9.042 Ratings
Predictive Analytics00 Ratings6.07 Ratings9.029 Ratings
Pattern Recognition and Data Mining00 Ratings00 Ratings10.01 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
6% above category average
Sisense
10.0
45 Ratings
16% above category average
Multi-User Support (named login)00 Ratings8.011 Ratings10.045 Ratings
Role-Based Security Model00 Ratings10.011 Ratings10.044 Ratings
Multiple Access Permission Levels (Create, Read, Delete)00 Ratings10.011 Ratings10.045 Ratings
Single Sign-On (SSO)00 Ratings8.04 Ratings00 Ratings
Report-Level Access Control00 Ratings00 Ratings10.01 Ratings
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
Google BigQuery
-
Ratings
ibi WebFOCUS
5.9
11 Ratings
27% below category average
Sisense
9.7
40 Ratings
23% above category average
Responsive Design for Web Access00 Ratings9.011 Ratings10.040 Ratings
Mobile Application00 Ratings3.32 Ratings10.025 Ratings
Dashboard / Report / Visualization Interactivity on Mobile00 Ratings8.08 Ratings10.034 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
11% above category average
Sisense
-
Ratings
REST API00 Ratings10.01 Ratings00 Ratings
Javascript API00 Ratings8.02 Ratings00 Ratings
iFrames00 Ratings8.02 Ratings00 Ratings
Themeable User Interface (UI)00 Ratings8.03 Ratings00 Ratings
Customizable Platform (Open Source)00 Ratings9.01 Ratings00 Ratings
Best Alternatives
Google BigQueryibi WebFOCUSSisense
Small Businesses
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
Yellowfin
Yellowfin
Score 8.7 out of 10
Yellowfin
Yellowfin
Score 8.7 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
Reveal
Reveal
Score 10.0 out of 10
Reveal
Reveal
Score 10.0 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
Kyvos Semantic Layer
Kyvos Semantic Layer
Score 9.5 out of 10
Kyvos Semantic Layer
Kyvos Semantic Layer
Score 9.5 out of 10
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User Ratings
Google BigQueryibi WebFOCUSSisense
Likelihood to Recommend
8.8
(77 ratings)
7.0
(16 ratings)
10.0
(58 ratings)
Likelihood to Renew
8.1
(5 ratings)
8.6
(5 ratings)
8.9
(14 ratings)
Usability
7.0
(6 ratings)
8.0
(3 ratings)
10.0
(6 ratings)
Availability
7.3
(1 ratings)
9.0
(1 ratings)
8.2
(1 ratings)
Performance
6.4
(1 ratings)
-
(0 ratings)
8.2
(1 ratings)
Support Rating
5.3
(11 ratings)
7.0
(3 ratings)
9.0
(6 ratings)
In-Person Training
-
(0 ratings)
-
(0 ratings)
7.3
(1 ratings)
Online Training
-
(0 ratings)
6.0
(1 ratings)
8.2
(1 ratings)
Implementation Rating
-
(0 ratings)
8.0
(1 ratings)
7.1
(3 ratings)
Configurability
6.4
(1 ratings)
-
(0 ratings)
8.2
(1 ratings)
Contract Terms and Pricing Model
10.0
(1 ratings)
-
(0 ratings)
-
(0 ratings)
Ease of integration
7.3
(1 ratings)
-
(0 ratings)
8.2
(1 ratings)
Product Scalability
7.3
(1 ratings)
-
(0 ratings)
8.2
(1 ratings)
Professional Services
8.2
(2 ratings)
-
(0 ratings)
-
(0 ratings)
Vendor post-sale
-
(0 ratings)
-
(0 ratings)
9.1
(1 ratings)
Vendor pre-sale
-
(0 ratings)
-
(0 ratings)
9.1
(1 ratings)
User Testimonials
Google BigQueryibi WebFOCUSSisense
Likelihood to Recommend
Google
Event-based data can be captured seamlessly from our data layers (and exported to Google BigQuery). When events like page-views, clicks, add-to-cart are tracked, Google BigQuery can help efficiently with running queries to observe patterns in user behaviour. That intermediate step of trying to "untangle" event data is resolved by Google BigQuery. A scenario where it could possibly be less appropriate is when analysing "granular" details (like small changes to a database happening very frequently).
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
Sisense Ltd
I believe Sisense is perfectly suited for any organization of any size that have access to the proper resources, as the tool is very expensive. The data connectors come in all shapes and sizes out of the box, which allows a great deal of data control within the ElastiCubes. Additionally, while the platform only runs on Windows platforms, the web application can be accessed on any client: mobile, Apple, Windows, etc. This allows a much more flexible user experience, resulting in data and dashboards reaching further than any other tool.
Read full review
Pros
Google
  • Realtime integration with Google Sheets.
  • GSheet data can be linked to a BigQuery table and the data in that sheet is ingested in realtime into BigQuery. It's a live 'sync' which means it supports insertions, deletions, and alterations. The only limitation here is the schema'; this remains static once the table is created.
  • Seamless integration with other GCP products.
  • A simple pipeline might look like this:-
  • GForms -> GSheets -> BigQuery -> Looker
  • It all links up really well and with ease.
  • One instance holds many projects.
  • Separating data into datamarts or datameshes is really easy in BigQuery, since one BigQuery instance can hold multiple projects; which are isolated collections of datasets.
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
Sisense Ltd
  • Customization - lots of supported and community plugins available. Users can also adjust the look and feel through JavaScript.
  • Innovation - Sisense is continuing to push the envelope by developing new features through Sisense Labs.
  • Customer support - the commitment to excellent customer service and ensuring organizations get the most out of their investment.
Read full review
Cons
Google
  • Please expand the availability of documentation, tutorials, and community forums to provide developers with comprehensive support and guidance on using Google BigQuery effectively for their projects.
  • If possible, simplify the pricing model and provide clearer cost breakdowns to help users understand and plan for expenses when using Google BigQuery. Also, some cost reduction is welcome.
  • It still misses the process of importing data into Google BigQuery. Probably, by improving compatibility with different data formats and sources and reducing the complexity of data ingestion workflows, it can be made to work.
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
Sisense Ltd
  • The usability of the application on mobile devices needs some improvement, especially navigation and filtering.
  • Dashboards that are created by multiple users can be a bit of a hassle to share by Admins.
  • If you need to embed dashboards into your website, you are require to buy a license separate from the user and platform license. This is a norm on most BI visualization tools, but Sisense can seem a bit on the high side, cost-wide.
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
Sisense Ltd
I think the business and myself as a user has come to rely on SiSense as a dashboarding and quick ad-hoc reporting tool. I am hoping to integrate SiSense dashboards into more parts of the business in the future. We have reduced our report turn-around time for the most part from hours/days to minutes and in some cases almost the speed of thought. Reports are also easier on the eye and more easily distributed. I would also like to say that the support and professionalism from the SiSense team has been excellent.
Read full review
Usability
Google
I think overall it is easy to use. I haven't done anything from the development side but an more of an end user of reporting tables built in Google BigQuery. I connect data visualization tools like Tableau or Power BI to the BigQuery reporting tables to analyze trends and create complex dashboards.
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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.
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Sisense Ltd
New V5 is ground floor of an exciting collection of possibilities. Weekly Sisense developers come up with new functionality that they share with us in their forums. The move to HTML5 has been pleasing in that widgets auto size themselves into appropriate forms in the board but everyone of them can be popped out to full page size to be looked at in more detail
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Reliability and Availability
Google
I have never had any significant issues with Google Big Query. It always seems to be up and running properly when I need it. I cannot recall any times where I received any kind of application errors or unplanned outages. If there were any they were resolved quickly by my IT team so I didn't notice them.
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IBI (Information Builders)
Tracking availability formally for almost two years and we are at 99.8%
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Sisense Ltd
There are very few situations when there is unexpected downtime. Mostly during development, new dashboard implementation and during upgrades. other then that there were very few crashes.
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Performance
Google
I think Google Big Query's performance is in the acceptable range. Sometimes larger datasets are somewhat sluggish to load but for most of our applications it performs at a reasonable speed. We do have some reports that include a lot of complex calculations and others that run on granular store level data that so sometimes take a bit longer to load which can be frustrating.
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IBI (Information Builders)
No answers on this topic
Sisense Ltd
SiSense is usually performing better then other solutions even if going for complex reports/dashboards(of course within reasonable frames). I haven't noticed any bad influence on other systems, usually if something happens it stays within SiSense.
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
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Sisense Ltd
SiSense's support ninjas are very knowledgeable and are exceptionally responsive. So far, all of the issues we ran into were resolved within minimum time. My sense of dealing with the support staff at SiSense is that they are very focused on not just answering your immediate question, but also to delve into the cause of the matter.
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In-Person Training
Google
No answers on this topic
IBI (Information Builders)
No answers on this topic
Sisense Ltd
Easy and free training that allowed us quickly understand basics in SiSense and start using them. More advanced features requires some browsing through SiSense forums, but there is always support to help, and SiSense support is one of the best whith which I worked so far.
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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
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Sisense Ltd
Many examples, videos and scenarios which you try on your own right away. This combined with in-person training gives you enough to utilize most of SiSense's power.
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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.
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Sisense Ltd
Remember to migrate the plugins. The documentation however is pretty straight forward.
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Alternatives Considered
Google
PowerBI can connect to GA4 for example but the data processing is more complicated and it takes longer to create dashboards. Azure is great once the data import has been configured but it's not an easy task for small businesses as it is with BigQuery.
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
Sisense Ltd
1) Easy to use, really, there is nothing too much to say. The set up is easy and not confusing. You can use it internally or externally.
2) Customer Service, having spoken to various product reps from similar industry. Sisense rep provides you with the best support to get started, and it is really appreciated.
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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
Sisense Ltd
No answers on this topic
Scalability
Google
We have continued to expand out use of Google Big Query over the years. I'd say its flexibility and scalability is actually quite good. It also integrates well with other tools like Tableau and Power BI. It has served the needs of multiple data sources across multiple departments within my company.
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IBI (Information Builders)
No answers on this topic
Sisense Ltd
Product is quite easily scalable. The whole installation can be easily moved to stronger machine if needed.
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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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IBI (Information Builders)
No answers on this topic
Sisense Ltd
No answers on this topic
Return on Investment
Google
  • Previously, running complex queries on our on-premise data warehouse could take hours. Google BigQuery processes the same queries in minutes. We estimate it saves our team at least 25% of their time.
  • We can target our marketing campaigns very easily and understand our customer behaviour. It lets us personalize marketing campaigns and product recommendations and experience at least a 20% improvement in overall campaign performance.
  • Now, we only pay for the resources we use. Saved $1 million annually on data infrastructure and data storage costs compared to our previous solution.
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
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Sisense Ltd
  • Report development time is reduced from 2~3 days to 2~3 hours.
  • Report querying time is improved from 0.5~10 mins to 2~30 seconds.
  • A 2-staff team delivers 10 times the BI output that we did on the old system.
  • We were able to deliver BI and data analysis for all business functions instead of a very limited group of users
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.