Skip to main content
TrustRadius
Sisense for Cloud Data Teams

Sisense for Cloud Data Teams
Formerly Periscope Data

Overview

What is Sisense for Cloud Data Teams?

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…

Read more

Learn from top reviewers

Sisense is working well so far

Rating: 8 out of 10
April 12, 2022
IncentivizedVetted ReviewVerified User
We were using Power BI but our customers wanted an export of their data and Sisense for Cloud Data Teams offered the subscription and dashboard characteristics that we were lo...
Continue reading
Ryan McLean
Analyst - Product Management
Senior Data Analyst
Imagine Learning
Sisense for Cloud Data Teams1 year of experience

My Go-to Data Visualization Platform (Sisense for Cloud Data Teams)

Rating: 9 out of 10
April 6, 2022
IncentivizedVetted ReviewVerified User
I started using Sisense for Cloud Data Teams at ADCS for data visualization (structured, unstructured, and geospatial). I still use it to date at my current corporation to per...
Continue reading
Alicia Sigler
Analyst - Corporate
Corporate Development Specialist
Mid-Ohio Regional Planning Commission
Sisense for Cloud Data Teams3 years of experience

Best and amazing software.

Rating: 8 out of 10
February 24, 2022
IncentivizedVetted ReviewVerified User
We have used Sisense for Cloud Data Teams to manage and handle massive amounts of clients' data. Sisense for Cloud Data Teams offers their users a free version trial so that s...
Continue reading
Nitish kumar
Engineer - Information Technology
System Engineer
Infosys
Sisense for Cloud Data Teams1 year of experience

Make Sense of Your Customers' Data

Rating: 7 out of 10
October 6, 2019
IncentivizedVetted ReviewVerified User
We use Periscope Data to handle and manage massive amounts of customer data. Our team of analysts uses it to create dashboards, graphs, and charts to visually demonstrate busi...
Continue reading
Adam Montgomery
Consultant - Engineering
Energy Efficiency Consultant
SEMCO
Sisense for Cloud Data Teams1 year of experience

The Go-To Analytics Platform for Modern BI teams

Rating: 10 out of 10
June 21, 2019
IncentivizedVetted ReviewVerified User
Periscope data is used across our organization here at Squadlocker. It serves all reporting/data needs for various departments like Marketing, Sales, Design and day to day mon...
Continue reading
Arnob Bordoloi
Analyst - Engineering
Data Analyst
SquadLocker
Sisense for Cloud Data Teams2 years of experience
Log in with LinkedIn to see content from your network
Return to navigation

Pricing

View all pricing
Sisense for Cloud Data Teams

Sisense for Cloud Data Teams

N/A
Unavailable

What is Sisense for Cloud Data Teams?

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…

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

Would you like us to let the vendor know that you want pricing?

4 people also want pricing

Alternatives Pricing

Grafana

Grafana

Free
What is Grafana?

Grafana is a data visualization tool developed by Grafana Labs in New York. It is available open source, managed (Grafana Cloud), or via an enterprise edition with enhanced features. Grafana has pluggable data source model and comes bundled with support for popular time series databases like…

Spotfire

Spotfire

$0.99
Per Hour (Starting)
What is Spotfire?

Spotfire, formerly known as TIBCO Spotfire, is a visual data science platform that combines visual analytics, data science, and data wrangling, so users can analyze data at-rest and at-scale to solve complex industry-specific problems.

Return to navigation

Features

BI Standard Reporting

Standard reporting means pre-built or canned reports available to users without having to create them.

9.2
Avg 8.3

Ad-hoc Reporting

Ad-Hoc Reports are reports built by the user to meet highly specific requirements.

8.8
Avg 8.0

Report Output and Scheduling

Ability to schedule and manager report output.

9.6
Avg 8.3

Data Discovery and Visualization

Data Discovery and Visualization is the analysis of multiple data sources in a search for patterns and outliers and the ability to represent the data visually.

8.7
Avg 8.0
Return to navigation

Product Details

What is Sisense for Cloud Data Teams?

Sisense for Cloud Data Teams Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

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.

Reviewers rate Report Formatting Templates and Publish to Web and Publish to PDF highest, with a score of 9.6.

The most common users of Sisense for Cloud Data Teams are from Mid-sized Companies (51-1,000 employees).
Return to navigation

Comparisons

View all alternatives
Return to navigation

Reviews From Top Reviewers

View all reviews
(1-5 of 7)

BI Analyst's Secret Weapon

Rating: 10 out of 10
September 28, 2018
Verified User
Director in Other
Consumer Goods Company, 201-500 employees
Vetted Review
Verified User
Sisense for Cloud Data Teams
1 year of experience
Use Cases and Deployment Scope
We use Periscope as our primary tool for insights to prepare our business leaders for strategic decisions. The ability to quickly stand up new dashboards or edit existing queries allows my small team of analysts to empower over 400 colleagues without bogging down the team in multiple coding languages.
Pros
  • Write query, get chart. Fast iteration.
  • Responsive support and product teams keep us current on product roadmap and enhancements.
  • Minimal onboarding required for new team members. Analysts don't need to learn a new language to begin development, just the appropriate flavor of SQL.
  • Caching simplifies ETL, mitigating dependency on data engineering for basic use-cases.
Cons
  • More controls around database settings and SQL views would enable more customized workflows.
  • Git integration would be amazing (I'm told this is coming soon)
Likelihood to Recommend
Pick Periscope for an environment where analysts are fluent in SQL and business users want to explore charts and self-service data downloads.

Business users who want to explore for insights themselves but don't want to learn SQL may have some difficulty without training.

Periscope Love

Rating: 10 out of 10
September 28, 2018
Use Cases and Deployment Scope
Waitr has just started to use Periscope, and we already love it. Between the documentation for Redshift in general, and Periscopes help files and outstanding customer support team we can get most things done easily or at least find out why they aren't working and try a new approach. They have been very attentive to our needs, and are rolling out new (and more importantly useful) features.
Pros
  • Organization of disparate data sources
  • Ability to run complex calculations using up to date and standardized tooling via Python and R
  • Their customer support team would keep me here even if they were missing features we needed
Cons
  • The UI can be nit-picky about not showing you full table names if they are long
  • There are some arbitrary restrictions on field content length that are removable, but not obvious to the end user
  • No way to make Python/R libraries to enable code reuse. Of note, they are working to fix this however with git integration.
Likelihood to Recommend
Your data is eventually consistent, this includes your data pipeline to your warehouse, to roughly an hour so real time metrics are difficult if your time constraints are less than that. I have yet to find a position/department in our company that could not benefit from Periscope. In fact we are moving several of our other data visualizations off other systems and into Periscope since it is so very much better suited to those roles.

The Go-To Analytics Platform for Modern BI teams

Rating: 10 out of 10
Incentivized
June 21, 2019
AB
Arnob Bordoloi
Data Analyst
SquadLocker (Sporting Goods, 51-200 employees)
Vetted Review
Verified User
Sisense for Cloud Data Teams
2 years of experience
View profile
Use Cases and Deployment Scope
Periscope data is used across our organization here at Squadlocker. It serves all reporting/data needs for various departments like Marketing, Sales, Design and day to day monitoring for the Production and Art departments. Easy to create Ad-hoc reports, interactive dashboards are easy to share and used by various partners. Leveraging the Redshift data warehouse along with Periscope's database caching strategies and other ETL processes provides for an efficient data analysis platform for Product and Data Science Teams.
Pros
  • Data integration with support for various databases and popular tools.
  • Built in SQL formatter.
  • Use SQL to prepare and publish data sets for use with built in support for Python and R.
  • Quick setup for SQL Alerts, Views and Snippets.
  • Excellent on demand support team.
Cons
  • Caching tables can be problematic and views without unique columns do not cache accurately
  • SQL query parsing errors for queries running directly against databases can be confusing.
  • Issues with data sync in the Salesforce Integration.
Likelihood to Recommend
- Perfect for use cases which have multiple data sources with a range of databases, CRM tools, and marketing tools to solve data integration issues towards achieving a single source of truth.
- Despite having an excellent support team it is recommended to have good SQL knowledge to get the best out of data analysis using Periscope Data.

My Go-to Data Visualization Platform (Sisense for Cloud Data Teams)

Rating: 9 out of 10
Incentivized
April 06, 2022
AS
Alicia Sigler
Corporate Development Specialist
Mid-Ohio Regional Planning Commission (Public Policy, 51-200 employees)
Vetted Review
Verified User
Sisense for Cloud Data Teams
3 years of experience
View profile
Use Cases and Deployment Scope
I started using Sisense for Cloud Data Teams at ADCS for data visualization (structured, unstructured, and geospatial). I still use it to date at my current corporation to perform the same projects.
Pros
  • Collect data across all ETL services.
  • Integrate with extensive range of external applications and APIs.
  • Offers free trial and support is available 24/7/12/365.
Cons
  • More documentation for available features would be better to simplify customization.
  • Do not have online community for peers and Sisense users.
Likelihood to Recommend
Sisense for Cloud Data Teams is a perfect match for SMEs and large corporations with less complex data. It has been effective to discover, collect, connect, model, and visualize data across all data sources (on-premise and cloud-based software).

Sisense is working well so far

Rating: 8 out of 10
Incentivized
April 12, 2022
RM
Ryan McLean
Senior Data Analyst
Imagine Learning (Research, 1001-5000 employees)
Vetted Review
Verified User
Sisense for Cloud Data Teams
1 year of experience
View profile
Use Cases and Deployment Scope
We were using Power BI but our customers wanted an export of their data and Sisense for Cloud Data Teams offered the subscription and dashboard characteristics that we were looking for.
Pros
  • Data Export Subscription
  • Data Dashboards
Cons
  • There was a large learning curve.
Likelihood to Recommend
We have customers who want scheduled updates of their data. This product allows for those subscriptions and automated exports of their data without custom code involved. In my opinion, you either need to pay for software or software developers and to solve this problem, the company decided to shift into the pay for software solution and so far it has gone well.
Return to navigation