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.
$4
per 100 slots
SAP BusinessObjects Business Intelligence (BI) Platform
Score 8.0 out of 10
N/A
The SAP® BusinessObjects™ Business Intelligence Platform provides users with ad hoc queries, reporting, data visualizations, and analysis tools. Its integrated, unified infrastructure aims to offer scalability from one-to-many tools and interfaces on-premise, in the cloud, or as a hybrid approach.
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Pricing
Google BigQuery
SAP BusinessObjects Business Intelligence (BI) Platform
Editions & Modules
Queries (Hourly Flex Slots)
$4
per 100 slots
Queries (On-Demand)
$5
per TB
Queries (Annual Flat Rate)
$1,700
per 100 slots
Queries (Monthly Flat Rate)
$2000
per 100 slots
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Google BigQuery
SAP BusinessObjects Business Intelligence (BI) Platform
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
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Community Pulse
Google BigQuery
SAP BusinessObjects Business Intelligence (BI) Platform
SAP BusinessObjects Business Intelligence (BI) Platform
Likelihood to Recommend
Google
One of the most important aspects while working with data warehousing solutions and analytics is the ability to handle large datasets. Google BigQuery is the best in business for that particular aspect. It is ridiculously fast while handling large data sets. Another aspect where it is well suited is the ability to integrate it with data visualization tools like Data Studio. It is fast, easy to use, and very reliable. The only aspect where I feel it is less appropriate where you have to pay more of inefficient scripts and that can hamper the growth of the company a bit.
BI was used to manage our parts and machines. It can be used to manage your factory or systems to properly allocate items to select places. However the system does not respond well, and it can scale well provided you have an actual team knowledgeable in this field. Once you get it set up it works well, but of course, if you try and add new implementations, it can become hazardous to your business.
This software is easy to initially learn, and very powerful in producing reusable reports.
It is much faster than my company's internal manual queries. The ability to build off of a saved query and share queries to other users is a great positive.
My favorite part is that you can run queries in the background and it does not interfere with your current work or slow your computer down.
One issue with Google Cloud Storage is its price. For one to have that premium Google Cloud Storage, for the purpose of massive storage, he/she must have adequate cash. Otherwise, Google Cloud Storage is a safe and perfect online storage platform.
The only thing that can come to mind that would be annoying with this software was that sometimes when trying to share files on the Cloud with coworkers, it would just not share at all, or there would be a massive delay in when I shared them and when they received them. Other than that though, everything is perfect with this.
The installation can be very complex and time-consuming, it requires a lot of planning and foresight as to what role the software will play in the organization.
The software has a relatively large learning curve that takes dedicated users months to get comfortable with, the UI is a bit intimidating for new users.
SAP could organize their help better, it can be difficult to find dependable solutions to issues via their website and support channels.
The institution has decided to move in a different direction, and will be using MSBI for reporting. I have been very happy with the Business Objects suite of tools, and will continue to use them heavily until we make the transition.
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
From a server and client side perspective. the Business Intelligence Platform provides a foundation for all aspects of content development, distribution, analysis, collaboration and self service. Ease of use from targeted content delivery through controlled accessibility. Content exporting in the format of the users choice. Scheduling for internal or external delivery. Public and private folders for secure content access when requied. Web based for viewing on the users device of choice without the need to download additional applications.
Overall, the tool (Web Intelligence 4.2) is fast and solid. One issue is a dependability on JAVA for a full feature report creation/edit capabilities (as opposed to limited HTML option). Second, planned end of JAVA support by major browsers (Chrome is already not supporting JAVA applet).
It’s Google, they’re big and well organized, the documentation is abundant and the scalability is amazing. The UX is good too, considering it’s a professional tool expected to be used by people with a specific technical background. Overall, it makes me feels good and secure that we know where to store the data, how to use that data and that the data is handled with utmost security and performance practices.
SAP has released various versions of SAP BO BI. starting from 3.1 and going to 4.0,4.1,4.2 and latest being 4.3. SAP provides support to these new versions. As new versions keep on coming, support for the very old software goes out of scope from SAP. it is when the different organization plans to get their BO content migrated from a lower version to a newer version. The newer version had definitely added functionality and features which ease the work of users.
Hire specialists and experienced staff. Mix some beginners so that everyone is not a leader but a learner too. Plan well; architect well; break down implementation in small steps and move towards larger steps. Create a centralized and authorized SAP Business Objects implementation team.
Spinning up, provisioning, maintaining and debugging a Hadoop solution can be non-trivial, painful. I'm talking about both GCE based or HDInsight clusters. It requires expertise (+ employee hire, costs). With BigQuery if someone has a good SQL knowledge (and maybe a little programming), can already start to test and develop. All of the infrastructure and platform services are taken care of. Google BigQuery is a magnitudes simpler to use than Hadoop, but you have to evaluate the costs. BigQuery billing is dependent on your data size and how much data your query touches.
Some organizations use Spotfire which is far more advanced in terms of its analytical capabilities vs. Lumira/PA etc. but the sharing/storage side of the BI Platform is far superior and much better managed. The ability to create user groups, access levels etc. on BI Platform helps to keep the platform secure.
SAP BusinessObjects Business Intelligence (BI) Platform supports SOA Service Oriented Architecture. You can start/restart/enable/disable all the servers. You can seamless do load balancing and clustering. It supports all leading application and web server. Supports LDAP SSO integration. People who can work on excel with training they can work on SAP Business Objects Web Intelligence, dashboard, Lumira, Information design tool product suite. Tool is very user friendly and easy to learn and implement
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.
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.
By generating and distributing reports in a timely manner, we were able to save millions of dollars for the company which otherwise would not have been visible.
Almost realtime dashboard, saved the company a huge amount by showing the outages and kept the company from buying a tool to do just that.
It showed the customers who were not paying the bills and were missing in the system due to some loophole. This was visible by doing reporting on the theft usage of electricity.
