

Sisense and Sigma are competing in the business intelligence domain. Sigma has the upper hand due to its extensive feature set, making it worth the investment for many users.
Features: Sisense provides powerful data visualization capabilities with intuitive dashboard customization, robust support, and extensive integration options. Sigma offers a cloud-native architecture, a spreadsheet-like interface benefiting real-time analysis, and seamless data collaboration.
Ease of Deployment and Customer Service: Deployment is streamlined with Sisense's integrated platform, offering vast integration options with existing systems and attentive customer service. Sigma's cloud-based model facilitates quick adoption with minimal IT intervention, though its support is primarily self-service with a responsive team.
Pricing and ROI: Sisense requires an upfront investment with scalable pricing reflecting its comprehensive features. Sigma provides a flexible pricing model that aligns with usage patterns, potentially leading to higher ROI through cost efficiency. The perception of value varies, with Sisense's cost based on its complete package, while Sigma appeals to companies with dynamic data environments.
It's essential for everything data-related within our company.
I have seen a return on investment with Sigma; we already said that it saves about a quarter, it gets me to answers about 25% faster.
I have definitely seen a return on investment through time saving because once the dashboards are built, they are built.
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.
Their support I really think is a 10 out of 10.
The support staff are all professional users of the product itself and they are available almost 24/7 and helped me to come up with solutions to all of the problems that I had.
As Sigma is a cloud platform, you do not need to do all that maintenance work.
The support was very good.
We typically get responses within 24 hours.
Sisense customer support has been top-notch, great, and very responsive.
Sigma seemed to scale just fine with our large data sets and could handle anything we threw at it.
Permissions are easily set, so you only get to see what you need to see and you can share what needs to be shared.
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.
We did not face typical errors during our project with Sigma.
Sisense is very stable and can handle a large amount of data quickly.
The main improvement needed is in data modeling capabilities.
Sigma lacks a versioning feature to track changes.
It would be great if there was a way for me to create reports without relying on a data analyst.
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.
The pricing of Sigma is a concern, as it restricts our ability to provide more users with report-creating capabilities due to the high cost of admin or report creator licenses.
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.
The use of Sigma in decision-making, presentations to customers, and reporting to investors showcases its value in handling data-related tasks.
Sigma has positively affected my organization by saving us time in accessing information, which ultimately gets us to complete projects faster.
Sigma has positively impacted my organization because I think it has been a huge impact, and we use it for all our reporting and our dashboards for tracking.
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 | 1.5% |
| Sigma | 1.6% |
| Other | 96.9% |

| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 3 |
| Large Enterprise | 2 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 7 |
| Large Enterprise | 15 |
Sigma enhances data tasks with an Excel-like interface, encouraging collaboration and non-technical user engagement. Its strengths include handling vast datasets and facilitating real-time data exploration, appealing to industries aiming for data-driven decision-making.
Sigma stands out with its capabilities for real-time collaboration and ease of use due to its Excel-inspired interface. It supports engagement with large datasets and prioritizes strong data governance. Key features include live queries on cloud databases and seamless integration with Snowflake. Its AI capabilities and self-service access help users perform detailed reporting and pivot table creation from extensive datasets, significantly affecting organizational efficiency and decision-making processes.
What are Sigma's most important features?Sigma is predominantly used for creating dashboards, reporting, and data visualization. It assists in real-time data exploration and ad hoc analysis, connecting seamlessly with Snowflake for consistent data views. Sales teams use it for performance comparison dashboards, while marketing teams apply it for data migration assessments. Organizations leverage its comprehensive reporting and analytics for informed decision-making.
Sisense enables data visualization and analytics with ease of use and fast setup, effectively integrating different data sources for efficient decision-making.
Sisense provides an intuitive platform for companies to handle data visualization and advanced analytics without requiring extensive technical knowledge. Quick deployment, custom dashboard creation, and seamless embedding are supported by an API-first approach. It allows integration of data from multiple databases, enhancing speed through in-chip methodology and real-time updates. Users benefit from its ElastiCube Manager and reduced deployment time, contributing to data-driven decisions. Comprehensive documentation supports users in navigating potential challenges.
What are the key features of Sisense?Sisense is commonly used across industries such as product development, sales, and marketing to deliver tailored analytics and dashboards for diverse departmental needs. Organizations leverage Sisense's capabilities for embedding analytics, optimizing financial models, and improving sales strategies. Its intuitive interface allows non-technical teams to efficiently handle and derive insights from large datasets.
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