IBM BigInsights is an analytics and data visualization tool leveraging hadoop.
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Sisense for Cloud Data Teams
Score 6.5 out of 10
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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.
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Pricing
IBM Analytics Engine
Sisense for Cloud Data Teams
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM Analytics Engine
Sisense for Cloud Data Teams
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
IBM Analytics Engine
Sisense for Cloud Data Teams
Features
IBM Analytics Engine
Sisense for Cloud Data Teams
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
IBM Analytics Engine
-
Ratings
Sisense for Cloud Data Teams
9.2
Ratings
9% above category average
Pixel Perfect reports
00 Ratings
8.80 Ratings
Customizable dashboards
00 Ratings
9.10 Ratings
Report Formatting Templates
00 Ratings
9.60 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
IBM Analytics Engine
-
Ratings
Sisense for Cloud Data Teams
8.8
Ratings
10% above category average
Drill-down analysis
00 Ratings
9.00 Ratings
Formatting capabilities
00 Ratings
9.20 Ratings
Integration with R or other statistical packages
00 Ratings
8.60 Ratings
Report sharing and collaboration
00 Ratings
8.60 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
IBM Analytics Engine
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Ratings
Sisense for Cloud Data Teams
9.6
Ratings
13% above category average
Publish to Web
00 Ratings
9.60 Ratings
Publish to PDF
00 Ratings
9.60 Ratings
Report Versioning
00 Ratings
9.60 Ratings
Report Delivery Scheduling
00 Ratings
9.60 Ratings
Delivery to Remote Servers
00 Ratings
9.40 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
We are at present utilizing IBM Analytics Engine and it works incredible. Following are the things that I like the most about this product is:- - Simple to Utilize - Reasonable Cost - With only a couple seconds you can ready to fabricate and convey groups - you can without much of a stretch break down information through different applications
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.
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.
My company has had Periscope for various use cases in the past and I think that this program opens up complex data reports to non-technical people in a really accessible way (even though the learning curve is a big one). We are now integrating Sisense for Cloud Data Teams at a larger level both for internal data exploration and for customer facing dashboards and reports.
I have been using Azure for my previous analysis, I had a difficult time in understanding the Analytics engine rather IBM provided step by step tutorial for setup.
Also turning off a machine was not an option in Azure for some of the services so I had to pay for the service whether I use it or not
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.
It has saved us quite a bit of time managing our catalog of clusters and keeping things organized.
Since we had a division we acquired running IBM Cloud, it was easy to get it running and try it out, but we found we prefer our Azure configuration better simply to keep our technology in alignment across corporate functions.
I definitely see some cost savings by separating out the storage and compute. It helps you start to put an appropriate price tag on certain instances of big data.