ThoughtSpot and SAP Analytics Cloud are both leaders in the analytics platform category. While ThoughtSpot excels in intuitive search-based analytics, SAP Analytics Cloud offers extensive integration capabilities, particularly within the SAP ecosystem, making it a preferred choice for businesses heavily invested in SAP products.
Features: ThoughtSpot stands out for its intuitive search-based analytics enabling quick report generation, ad-hoc data exploration, and rapid setup. SAP Analytics Cloud offers robust predictive analytics, seamless SAP integration, and comprehensive business intelligence, planning, and predictive capabilities in one platform.
Room for Improvement: ThoughtSpot needs more flexibility in visualization, improved database integration, and enhanced predictive functions. SAP Analytics Cloud faces challenges with its high cost, limited non-SAP integration ability, and requires improvements in visualization and real-time reporting.
Ease of Deployment and Customer Service: ThoughtSpot is praised for ease of deployment in private cloud and on-premises, along with effective customer support. SAP Analytics Cloud provides flexible deployment options across public and hybrid clouds, with comprehensive and proactive technical assistance.
Pricing and ROI: ThoughtSpot offers competitive pricing, cheaper than Tableau but more costly than Power BI, with favorable ROI from time savings and flexibility. SAP Analytics Cloud has a premium price reflecting its features and SAP integration, providing good ROI through its deep integration capabilities, though the price is a barrier for wider adoption.
Using ThoughtSpot has resulted in significant time savings and improved business sales by allowing us to identify sellers and buyers across regions, facilitating targeted marketing.
ThoughtSpot saves a significant amount of time compared to other tools and is very user-friendly.
We are satisfied with the technical support from SAP because when we reached out, we were able to get very good support from SAP colleagues.
ThoughtSpot provides a dedicated customer success person and the ability to submit tickets online, with a response time of no more than a day.
I stopped opening tickets due to insufficient and untimely responses.
We have dedicated support contacts for our company, but pushing through features we need requires long processes and upvotes on their website despite the support.
I would rate its scalability up to nine on a scale of one to ten.
The platform does not have technical problems with scaling data or connections.
As our data has grown, I have validated huge datasets and complex models without significant issues.
Tableau, Power BI, or Looker have separate tools for preparation, customization, and storytelling.
This workaround consumed a lot of resources and led to reduced performance, with pinboards loading for approximately two minutes for each filter criterion.
The responsiveness of accessing live data is exceptional and faster than most other BI tools.
The upgrades are smooth with no downtime, which is super important.
Documentation-wise, we see some gaps when trying to connect different solutions.
The platform also has fewer formulas and functions compared to Power BI and Qlik, limiting the creation of complex functions directly within ThoughtSpot.
Enhancing integration capabilities with other tools like DBT would also be beneficial as it would make our lives easier.
Currently, it is not as customizable as the options available on Power BI or Tableau.
ThoughtSpot's pricing is reasonable and in line with other BI tools.
HubSpot is expensive.
For SuccessFactors and S/4HANA Cloud, there are pre-built reports available which are commonly used by customers.
When I upload a data dump, AI analytics suggest possible data visualizations and insights, which I can pin to dashboards or live boards for modification.
Its compatibility with most databases, including the latest from FlexMovely and Redshift, allows users to create joins and worksheets easily.
This alerting feature is very beneficial for our company at the moment, and we use it extensively.
SAP Analytics Cloud is an all-in-one Software-as-a-Service business intelligence tool that provides the key functionalities of an analytics tool to SAP business users. This tool is built on HANA Business Intelligence (BI) platform, providing analytics from data collected from multiple sources, such as ERP, Microsoft SQL, and Salesforce, among other solutions.
You can use SAP Analytics Cloud to compile data and perform ad-hoc reporting and analysis for predictive planning. SAP Analytics Cloud collects and analyzes the raw data from transactional systems into intelligent insights that allow you to make better decisions.
SAP Analytics Cloud uses machine learning to clean up data, identify errors, and issues, and suggest optimization or filtering options. You can use the modeling feature in Analytics Cloud to create hierarchies and get deeper data insights.
The three core functions of SAP Analytics Cloud consist of Planning, Predictive Analysis, and Business Intelligence as a holistic SaaS solution that offers real-time analysis to business leaders.
SAP Analytics Cloud Capabilities
SAP Analytics Cloud Key Features
SAP Analytics Cloud Benefits
Reviews from Real Users
Segun O., SAP HANA Developer at SOA PEOPLE, says that "The most valuable features are on the application side, where you can design applications into your analytics on the platform."
The Head of Finance Enterprise Application at a computer software company adds that "The visualization feature is the most valuable. SAP Analytics Cloud is also very easy to use."
"Its many features make it the best in the market," sums up a Consultor SAP Business Object, Sap Analytics Cloud at a tech services company.
ThoughtSpot is a powerful business intelligence tool that allows easy searching and drilling into data. Its ad hoc exploration and query-based search features are highly valued, and it is easy to set up, stable, and scalable.
The solution is used for reporting purposes, self-service BI, and embedding into other applications for customers to do self-service analytics. It helps businesses with metrics, KPIs, and important insights by sourcing data from various sources into one golden source and visualizing it in an easy way for the business to consume. The pricing model is ideal, charging for data rather than the number of users.
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