

Sisense and Google Data Studio compete in the business analytics and data visualization category. Sisense generally has the upper hand for handling large datasets and diverse deployment options, while Google Data Studio is favored for its affordability and integration with Google services.
Features: Sisense is preferred for simplicity and efficiency with large datasets, allowing multiple data sources integration. It offers fast onboarding and deployment with thorough documentation. Google Data Studio connects easily with Google services and provides cost-effective solutions for small teams, featuring diverse visualization options.
Room for Improvement: Sisense could improve in complexity handling and offer a more advanced interface for data manipulation, better documentation, and enhanced integration with various data sources. Google Data Studio should work on expanding data integration options, as well as enhancing visualization features for more advanced analytics.
Ease of Deployment and Customer Service: Sisense offers flexible cloud deployment options, including on-premises, with exceptional customer service described as responsive and knowledgeable. Google Data Studio is a public cloud solution, noted for its ease of deployment but with limited support compared to Sisense.
Pricing and ROI: Sisense is competitively priced at the enterprise level, though more costly than alternatives like Power BI and Tableau. It provides positive ROI by saving time and reducing development needs. Google Data Studio is usually cheaper or free, suitable for budget-conscious businesses. Larger implementations may incur additional costs related to external data processing and storage solutions.
The number of employees has reduced to half, and time is saved by nearly two to three hours a day because of automated reports.
It makes it very easy for us to make data-driven decisions and we are able to forecast our future predicament or future plans, hence increasing or boosting productivity in my organization.
Due to the data presented to stakeholders, they are able to make informed decisions that impact the day-to-day operations of the client, giving them more insights into what's happening within their organization.
I have seen a return on investment in that we can manage the Sisense environment with a very small number of users.
Anyone with minimal knowledge of Looker can easily go through the documentation and understand the steps and the UI.
The support was very good.
We typically get responses within 24 hours.
Sisense customer support has been top-notch, great, and very responsive.
I rate Looker's scalability a nine because of how easily we can scale by simply combining tables.
It is scalable to a very large extent and we can integrate any third-party tools.
Sisense's scalability is impressive as it can crunch a lot more data and has consistently better performance.
Sisense works really well for simple to medium use cases and scales well.
Sisense is very stable and can handle a large amount of data quickly.
The performance is not optimal on large data sets.
I would like to see an improvement in the live data connection, specifically making the process faster.
It could provide more connectors to integrate with emerging different data sources to exponentially increase the amount of data it can handle.
I give Sisense a nine because the integration with some third-party tools is good.
My experience with pricing, setup cost, and licensing is that it is cost-effective, but for smaller organizations working under a tight budget, this tool might be a bit expensive for them.
There was no significant difference in pricing between Sisense and ThoughtSpot.
My experience with pricing, setup cost, and licensing shows that pricing is a little bit higher when compared to other applications, but that justifies the use case.
For a business user to understand data from free form or Essbase, it usually takes thirty minutes to an hour to go through the previous day's trend. However, with the visualization tools in Looker, they can easily understand the data and compare it to the previous one or two years using a bar graph, pie chart, or other graphs.
It offers two ways to access data: by cubing the data or hitting it live.
It allows the user to cater to different use cases and is a very fast aggregator across different data sources, giving you the historical context and helping in operationalizing your data.
Sisense has positively impacted my organization by drastically reducing the time taken to build the data cube, and we can see real-time analytics.
| Product | Mindshare (%) |
|---|---|
| Sisense | 5.7% |
| Looker | 5.6% |
| Other | 88.7% |


| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 8 |
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 7 |
| Large Enterprise | 15 |
Google Data Studio enables seamless integration with Google's ecosystem, enhancing data visualization with Looker's capabilities. Its semantic layer and real-time insights support efficient dashboard creation and sharing.
Google Data Studio offers comprehensive data management through LookML, allowing custom data modeling with minimal training. Its centralized data management facilitates dashboard creation for non-technical employees. Users benefit from real-time insights and advanced analytics, along with automated reporting that reduces workload. Although it offers customization and data-level security, areas like visualization flexibility and large dataset performance need improvement. Challenges include handling complex filters, limited chart types, and the absence of multi-sheet options.
What are the key features of Google Data Studio?Google Data Studio is implemented in industries like real estate, sales, and marketing for creating operational reports and understanding trends. It helps organizations visualize data for customer behavior analytics, supporting developers in managing integrations and data governance efficiently.
Sisense is an end-to-end business analytics software that enables users to easily prepare and analyze large, complex datasets. Sisense’s Single-Stack BI software includes data preparation, data management, analysis, visualization and reporting capabilities.
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