Sigma Computing vs. Sisense for Cloud Data Teams

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Sigma
Score 8.4 out of 10
N/A
Sigma Computing headquartered in San Francisco provides a suite of data services such as code free data modeling, data search and explorating, and related BI and data visualization services.N/A
Sisense for Cloud Data Teams
Score 5.0 out of 10
N/A
Sisense for Cloud Data Teams (formerly Periscope Data) is a data visualization tool that allows users to connect to their SQL databases to create sharable, interactive dashboards. In addition to SQL, its analytics integrate with R and Python, allowing users to prep datasets, perform analysis, and create their own visualizations. Sisense acquired Periscope Data in mid-2019.N/A
Pricing
Sigma ComputingSisense for Cloud Data Teams
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
SigmaSisense for Cloud Data Teams
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
Additional DetailsContact us for pricing.
More Pricing Information
Community Pulse
Sigma ComputingSisense for Cloud Data Teams
Considered Both Products
Sigma
Chose Sigma
I am not an expert in any of these, though from my brief exposure to Looker it felt like a steeper learning curve, more appropriate to companies with dedicated and skilled BI engineers, whereas Sigma (and Tableau, and Looker Studio) offer a quicker and more intuitive interface …
Chose Sigma
Ease of use, access for teams, adhoc and iterative data analyses, from non-technical users, to experience data analysis teams.
Chose Sigma
Sigma Computing exclusively uses Snowflake as its data source, which enhances data security by not caching or extracting data locally. Tableau, on the other hand, allows a broader range of internal databases and files like SQL Server, Postgres, etc., and supports extracted …
Chose Sigma
Microsoft Power BI, Qlik Analytics Platform and Microsoft Excel
Chose Sigma
maintianed is very user friendly. Its various ways of embedding helped us in various aspects. The usage of control ids of the filters as parameters helped us in optimizing very longSQL queries. The live Support team every weekday is a very great intiative that helped in quick …
Chose Sigma
I'd rate Sigma to be extremely similar to Sisense except it looks not as nice. I would say that as a tool, Sigma is more user-friendly than Tableau, Power BI, Trevor, and Metabase.

I do feel that Looker is far more powerful and looks great, but I also recognize that Looker does …
Chose Sigma
Sigma computing has better pricing than the competitors. We're always looking for what is good for the price but also gives us all we need to complete our reporting. It also brings about a lot of updates that are nice to see. The embedding helps other BI tools sometimes.
Chose Sigma
We did not have any similar reporting system like Sigma.
Chose Sigma
Sigma has a better view of tables and it is much easier to create new data sets/aggregations. Tableau is better in some visual aspects because there is more customization available, albeit more confusing than Sigma to do. Sigma is very intuitive and did not take long to learn …
Chose Sigma
Sigma Computing had better functionality and is beginner friendly. While Tableau is a more well known product, Sigma Computing has a better user interface that is easier to comprehend for those without a non-technical background. This makes it easier to showcase dashboards to …
Chose Sigma
Sigma is better than Tableau in my opinion because Sigma has the connection to live data, rather than stale csv files.
Chose Sigma
Sigma is the easiest to use from a workbook developer perspective, and from a non-technical end user perspective. Everything from administration, semantic layer setup, to creating dashboards is easier in Sigma than these other tools. Developing content in Sigma is enjoyable, …
Chose Sigma
Sigma has the capabilities of the other BI tools. I think it's pretty user friendly and easy to learn. Many of our stakeholders are used to using Excel so it's nice that it is a smooth onboarding process for them. We haven't looked into much of the visualization capabilities so …
Chose Sigma
I have found that Tableau can be used to create a greater variety of custom and complex visuals, though these visuals are far more difficult to create in a quick turnaround. While Sigma may be more limited in terms of what types of visuals can be create or how customized they …
Chose Sigma
With Looker, to be effective, a substantial amount of coding & modeling needs to happen in LookML. Being another language to learn, users have to context switch again from at a minimum either SQL or Python into LookML. The concept of being able to source control, code review, …
Chose Sigma
Less visually appealing. Feels like fewer pixels. Harder to make graphs and visuals. Really good integration with snowflake and intuitive usage for custom equations and filters.
Chose Sigma
2 biggest reasons for Sigma were easy of use for power users, and cost of having a large amount of viewers of the data.
Chose Sigma
Much more customizable than Looker Studio
Some features are way better than Cluvio. But Cluvio search bar was better.
Chose Sigma
I was not involved in the buying and decision-making process.
Chose Sigma
Not even a comparison, Sigma is a far superior BI and data visualization tool
Chose Sigma
sorta in the middle.
One thing that differs than domo or power bi, is that those softwares bring in the data into the platform, instead of how sigma runs a query against our data warehouse each time a user interacts with the dashboard (there is some small caching, so not always)
Chose Sigma
Sigma is by far the best. It is easiest to learn and easiest to use on a day to day basis. I never have to wait for dashboards to load and it's very easy to understand the variables that are going into my visualizations. Best of all I can manipulate the data within Sigma …
Chose Sigma
flexibility, works really well with snowflake, export capability, level of support, the fact that Sigma Computing is a start up and improving so quickly. Web based software
Sisense for Cloud Data Teams
Chose Sisense for Cloud Data Teams
If you are used to Periscope, you'll really fit in with Sisense for Cloud Data Teams. However, if you are looking for your first BI solution or are looking for an alternative to your current BI tool, it might be better to look for a product that is a little bit more modern and …
Chose Sisense for Cloud Data Teams
RStudio requires custom code from programmers and the decision was made to move to software instead of software developers. Microsoft Power BI didn't have the right data subscription capabilities for our customers.
Chose Sisense for Cloud Data Teams
Google Analytics works well but it does not have all of the bells and whistles that Periscope Data offers. Google Analytics is best used in a Google environment but if you are using other tools and programs outside of the Google universe, then Periscope Data is a much better …
Chose Sisense for Cloud Data Teams
Periscope is far more robust than these two similar products. For a start up just getting going they are fine alternatives, but as your business scales Google Charts becomes a hassle to manage and Keap becomes too much of a generalized product. While your business increases it …
Chose Sisense for Cloud Data Teams
Periscope is by far the best we looked at - I was evaluating as a user, not the primary decision maker, and user interface and ease of use was the primary factor in my decision. It is very easy to navigate and manipulate, and has an overall very polished view.
Chose Sisense for Cloud Data Teams
Periscope's lightweight footprint and customizable SQL-based reports make it a better choice for us than Tableau or Microsoft BI. We deal with millions of rows of transactional data in a SQL Server data warehouse, so having seamless front-end integration makes reporting seamless.
Chose Sisense for Cloud Data Teams
We use Jira here at SDC, as well as Periscope. These programs are use together and they work in tandem to get the issues resolved.
Chose Sisense for Cloud Data Teams
Sharing of visualisations and rapid prototypen/building, ease of use. UX is 20x better.
Chose Sisense for Cloud Data Teams
LookML was able to simplify development of views involving window calculations, but slowed down the overall development cycle as minor SQL edits required heavy code reviews.

Tableau has great interactive options but has proved non-performant with our database mix (MySQL, …
Chose Sisense for Cloud Data Teams
This is currently our primary visualization tool. There is no real option to do any meaningful math on your data, and you only have access to a very, very limited subset of information you stream into the cache. Periscope far exceeds this tool with the ability to combine data …
Chose Sisense for Cloud Data Teams
Different in the sense that you need to be able to manipulate data with Periscope while you just need to understand how data is manipulated with Amplitude (Periscope = you need to master SQL vs Amplitude = you need to understand the logic of SQL). Periscope is a more powerful …
Chose Sisense for Cloud Data Teams
Periscope Data enables data wrangling and is more familiar to SQL-savvy people - which are mostly analysts. Writing query is not really tedious for them, so it is not a huge problem. Quick and nice response from Periscope support is really helpful for the users.
Chose Sisense for Cloud Data Teams
I have not utilized any other tools like Periscope so it's hard to say how it stacks up against its competition.
Features
Sigma ComputingSisense for Cloud Data Teams
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Sigma Computing
7.5
Ratings
9% below category average
Sisense for Cloud Data Teams
7.0
Ratings
14% below category average
Pixel Perfect reports5.60 Ratings6.00 Ratings
Customizable dashboards9.30 Ratings7.00 Ratings
Report Formatting Templates7.70 Ratings8.00 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Sigma Computing
7.5
Ratings
7% below category average
Sisense for Cloud Data Teams
4.8
Ratings
48% below category average
Drill-down analysis8.10 Ratings6.00 Ratings
Formatting capabilities7.10 Ratings7.00 Ratings
Integration with R or other statistical packages7.30 Ratings3.00 Ratings
Report sharing and collaboration7.70 Ratings3.00 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Sigma Computing
7.6
Ratings
7% below category average
Sisense for Cloud Data Teams
7.6
Ratings
7% below category average
Publish to Web7.40 Ratings5.00 Ratings
Publish to PDF7.70 Ratings10.00 Ratings
Report Versioning7.10 Ratings8.00 Ratings
Report Delivery Scheduling7.70 Ratings5.00 Ratings
Delivery to Remote Servers7.90 Ratings10.00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Sigma Computing
6.8
Ratings
16% below category average
Sisense for Cloud Data Teams
4.8
Ratings
47% below category average
Pre-built visualization formats (heatmaps, scatter plots etc.)8.60 Ratings7.00 Ratings
Location Analytics / Geographic Visualization5.60 Ratings8.00 Ratings
Predictive Analytics6.20 Ratings1.00 Ratings
Pattern Recognition and Data Mining00 Ratings3.00 Ratings
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User Ratings
Sigma ComputingSisense for Cloud Data Teams
Likelihood to Recommend
8.2
(0 ratings)
4.0
(0 ratings)
Likelihood to Renew
10.0
(0 ratings)
-
(0 ratings)
Usability
7.6
(0 ratings)
8.0
(0 ratings)
Availability
8.2
(0 ratings)
-
(0 ratings)
Performance
9.1
(0 ratings)
-
(0 ratings)
Support Rating
10.0
(0 ratings)
6.9
(0 ratings)
Implementation Rating
9.1
(0 ratings)
-
(0 ratings)
Configurability
7.3
(0 ratings)
-
(0 ratings)
Ease of integration
9.1
(0 ratings)
-
(0 ratings)
Product Scalability
8.2
(0 ratings)
-
(0 ratings)
Vendor post-sale
7.3
(0 ratings)
-
(0 ratings)
User Testimonials
Sigma ComputingSisense for Cloud Data Teams
Likelihood to Recommend
Scenarios where Sigma Computing is well suited: - Data Reporting and Visualisation : It is suitable for dashboards that integrate data from multiple back-office systems - Search and Filtering Capabilities: It provides a robust platform for searching through datasets and visualisations. Scenarios where Sigma Computing is less appropriate: Handling of null values and dynamic table adjustments
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Sisense for Cloud Data Teams is suited so well for our project that works with lots of data and needs some ways to share data internally or externally with our clients. It's very easy to pull out the data from the sense in best and in a suitable format and moreover a huge number of options are available there to represent the data. All features of this Sisense for cloud data teams software can be taken advantage of if you have a team who are well versed in data analytics, data management, and programming.
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Pros
  • Allows end users to easily dive into the data without having direct access to the table in our database management software.
  • Can easily turnaround dashboards that are detailed and visually pleasing.
  • Sigma is intuitive and as new features are rolled out it is easy to adopt and incorporate them into new and existing dashboards.
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  • Rapid deployment of polished T-SQL-based data visualization charts and dashboards. Periscope supports a variety of database technologies, and allows users to write custom queries to display data.
  • Included caching to reduce server load.
  • Outstanding customer service/support, with expert advice as needed.
  • Constant updates and new features.
  • Built-in SQL formatters take the pain out of manipulating date/time objects.
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Cons
  • Viewer level license is quite limited. These users can't download data or even add filters on datasets. Something to keep in mind.
  • Directly querying the underlying data warehouse will lead to increased usage. Not a big deal on something like Redshift, but your Snowflake consumption will increase, potentially by a lot.
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  • Some of the dashboards can be slow to load; especially when they have lots of features and widgets.
  • The software could be made a little easier for people that don't have a data or programming background.
  • It is pricey so not a great option for small companies or research/home projects.
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Likelihood to Renew
Because we are very satisfied with the product and would most likely renew because of the services it provides. It is a tool that you bring into your organization and let it change the way you analyze your data, present your data and share you date within the Respective teams
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No answers on this topic
Usability
It has a clean and modern interface. However, it is not completely intuitive. I think it would be better and easier to navigate with more Windows style drop down menus and/or tabls. There is a significant learning curve, but that may be due in part to the technical nature of this type of software tool.
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If you know SQL or are somewhat data-savvy, you'll feel right at home with Sisense for Cloud Data Teams. However, like most other BI tools, it is a little challenging to use for users that are non-technical. The graphs and charts are very visually appealing, and there's lots of customization and export options.
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Reliability and Availability
Yes, as long as you don’t conduct user error sigma is always up and running and waiting for you to complete your dashboards
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No answers on this topic
Performance
It depends, it loads quickly for smaller dashboards but when loading larger amounts of data it takes more time to do so
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No answers on this topic
Support Rating
They are very friendly and informative. They are quick in resolving our queries and help us understand very minute things as well. They are quick in creating feature tickets based on our custom requirements, and they would also create a bug ticket if there is any discrepancy and get that checked on time.
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The user interface is just amazing and it's really very easy to use and navigate, even for a newbie. Mostly it provides us the accurate data.
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Implementation Rating
Was not involved in implementation
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Alternatives Considered
I am not an expert in any of these, though from my brief exposure to Looker it felt like a steeper learning curve, more appropriate to companies with dedicated and skilled BI engineers, whereas Sigma (and Tableau, and Looker Studio) offer a quicker and more intuitive interface for smaller companies like ours without dedicated BI resources on staff.
Read full review
Periscope is far more robust than these two similar products. For a start up just getting going they are fine alternatives, but as your business scales Google Charts becomes a hassle to manage and Keap becomes too much of a generalized product. While your business increases it is generally best to get multiple specialized pieces of technology to help you maintain integrity in your data, and Periscope Data allows. Worth the money.
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Scalability
It is a cloud service offering that is able to expand based on your usage
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No answers on this topic
Return on Investment
  • Monitoring health of cloud platform has allowed the company to anticipate issues before they affect customers – Sigma prompted us building a canary monitoring process that provides customer container health.
  • Customer success has used an activity report to discover customers running runaway processes that they were unaware of, creating an alert to contact the customer and prevent an embarrassing situation.
  • Customer success uses the activity report to prompt conversations regarding increases or declines in behavior that led to increasing contract limits or addressing churn concerns.
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  • Very positive - has allowed us to glean insights quickly and in real time.
  • Definitely helpful for evaluating performance of accounts and employees.
  • Versatile - we even use it with recruiting metrics, our software team uses it to test feature deployment.
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ScreenShots