Redash vs. Spotfire

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Redash
Score 7.7 out of 10
N/A
Redash is a data visualization tool designed to allow users to connect and query any data sources, build dashboards to visualize data and share them with a company. Databricks acquired Redash in June 2020.N/A
Spotfire
Score 8.6 out of 10
N/A
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.
$0.99
Per Hour (Starting)
Pricing
RedashSpotfire
Editions & Modules
No answers on this topic
Spotfire for Amazon Web Services
$0.99
Per Hour (Starting)
Spotfire Cloud - Consumer
$250/yr
per seat
Spotfire Cloud - Business Author
$650/yr
per seat
Spotfire Cloud - Analyst
$1250/yr
per seat
Spotfire Platform
Please contact Spotfire sales
Spotfire Cloud Enterprise
Please contact Spotfire sales
Offerings
Pricing Offerings
RedashSpotfire
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsFor Enterprise engagements, please contact TIBCO directly for a custom price quote.
More Pricing Information
Features
RedashSpotfire
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Redash
6.8
4 Ratings
21% below category average
Spotfire
-
Ratings
Pixel Perfect reports7.14 Ratings00 Ratings
Customizable dashboards7.74 Ratings00 Ratings
Report Formatting Templates5.84 Ratings00 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Redash
6.0
4 Ratings
28% below category average
Spotfire
-
Ratings
Drill-down analysis5.84 Ratings00 Ratings
Formatting capabilities7.74 Ratings00 Ratings
Integration with R or other statistical packages2.83 Ratings00 Ratings
Report sharing and collaboration7.94 Ratings00 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Redash
5.4
4 Ratings
44% below category average
Spotfire
-
Ratings
Publish to Web8.02 Ratings00 Ratings
Publish to PDF7.14 Ratings00 Ratings
Report Versioning5.53 Ratings00 Ratings
Report Delivery Scheduling2.63 Ratings00 Ratings
Delivery to Remote Servers3.93 Ratings00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Redash
6.4
4 Ratings
23% below category average
Spotfire
-
Ratings
Pre-built visualization formats (heatmaps, scatter plots etc.)7.04 Ratings00 Ratings
Location Analytics / Geographic Visualization7.52 Ratings00 Ratings
Predictive Analytics4.23 Ratings00 Ratings
Pattern Recognition and Data Mining7.01 Ratings00 Ratings
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Redash
-
Ratings
Spotfire
7.3
8 Ratings
13% below category average
Connect to Multiple Data Sources00 Ratings7.88 Ratings
Extend Existing Data Sources00 Ratings7.48 Ratings
Automatic Data Format Detection00 Ratings7.88 Ratings
MDM Integration00 Ratings6.05 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Redash
-
Ratings
Spotfire
9.1
8 Ratings
7% above category average
Visualization00 Ratings9.08 Ratings
Interactive Data Analysis00 Ratings9.28 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Redash
-
Ratings
Spotfire
7.4
8 Ratings
10% below category average
Interactive Data Cleaning and Enrichment00 Ratings7.28 Ratings
Data Transformations00 Ratings8.08 Ratings
Data Encryption00 Ratings7.05 Ratings
Built-in Processors00 Ratings7.55 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Redash
-
Ratings
Spotfire
7.6
8 Ratings
10% below category average
Multiple Model Development Languages and Tools00 Ratings7.57 Ratings
Automated Machine Learning00 Ratings8.55 Ratings
Single platform for multiple model development00 Ratings7.68 Ratings
Self-Service Model Delivery00 Ratings6.76 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Redash
-
Ratings
Spotfire
7.4
7 Ratings
13% below category average
Flexible Model Publishing Options00 Ratings7.87 Ratings
Security, Governance, and Cost Controls00 Ratings7.07 Ratings
Best Alternatives
RedashSpotfire
Small Businesses
Supermetrics
Supermetrics
Score 9.0 out of 10
Jupyter Notebook
Jupyter Notebook
Score 9.0 out of 10
Medium-sized Companies
Mathematica
Mathematica
Score 8.2 out of 10
Mathematica
Mathematica
Score 8.2 out of 10
Enterprises
Sigma
Sigma
Score 9.4 out of 10
Posit
Posit
Score 9.6 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
RedashSpotfire
Likelihood to Recommend
8.6
(4 ratings)
8.6
(351 ratings)
Likelihood to Renew
-
(0 ratings)
8.9
(30 ratings)
Usability
-
(0 ratings)
8.0
(27 ratings)
Availability
-
(0 ratings)
9.0
(14 ratings)
Performance
-
(0 ratings)
7.1
(14 ratings)
Support Rating
-
(0 ratings)
8.7
(27 ratings)
In-Person Training
-
(0 ratings)
7.9
(52 ratings)
Online Training
-
(0 ratings)
8.9
(55 ratings)
Implementation Rating
-
(0 ratings)
8.3
(17 ratings)
Configurability
-
(0 ratings)
7.1
(3 ratings)
Ease of integration
-
(0 ratings)
7.0
(2 ratings)
Product Scalability
-
(0 ratings)
7.0
(4 ratings)
Vendor post-sale
-
(0 ratings)
5.0
(1 ratings)
Vendor pre-sale
-
(0 ratings)
5.0
(1 ratings)
User Testimonials
RedashSpotfire
Likelihood to Recommend
Databricks
Redash is well suited to situations where metrics are tracked on daily, weekly and monthly basis. Alerts can be set to emails which helps stakeholders to monitor performance on a frequent basis. It is less appropriate for cases where only dashboards are needed. Redash comes into picture where individuals can query and check data at the same time.
Read full review
Spotfire
A high level of data integration is available here it supports various data sources and so on. Collaborating features allow users to give access to the dashboard and merge data analytics with other team members. It can meet the demands of both small and large size business enterprises. A customized dashboard and reports are provided to meet the specific needs and get support of extensibility through APIs and customized scripts.
Read full review
Pros
Databricks
  • Great Query Editor with Autocomplete feature
  • Very easy to setup and quickly connect to variety of data sources
  • Quick Dashboards with Simple UI which can be easily shareable
Read full review
Spotfire
  • It has the best coding integration (python, R) of any BI product
  • The ability to work with very large datasets (10 mil+) is better than competitors
  • Export options are more complete and have better functionality
  • The data canvas is the best tool to join and transform data vs. competitors
Read full review
Cons
Databricks
  • You need to have a good command over SQL to use Redash but if there could be some way where people can just pull data and do slice dice.
  • It would be nice to have an excel kind of filters when all data is fetched.
  • Some things like easy to customise the column names.
Read full review
Spotfire
  • The donut chart is I guess a powerful illustrations but I hope it should be done quite simple in Spotfire. But in Spotfire there are lots of steps involve just to build a simple donut chart.
  • Table calculation (like Row or Column Differences) should be made simple or there should be drag and drop function for Table Calculation. No need for scripting.
  • Information Link should be changed. If new columns are added to the table just refreshing the data should be able to capture the new column. No need extra step to add column
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Likelihood to Renew
Databricks
No answers on this topic
Spotfire
-Easy to distribute information throughout the enterprise using the webplayer. -Ad hoc analysis is possible throughout the enterprise using business author in the webplayer or the thick client. -Low level of support needed by IT team. Access interfaces with LDAP and numerous other authentication methods. -Possible to continually extend the platform with JavaScript, R scripts, HTML, and custom extensions. -Ability to standardize data logic through pre-built queries in the Information Designer. Everyone in the enterprise is using the same logic -Tagging and bookmarking data allows for quick sharing of insights. -Integration with numerous data sources... flat files, data bases, big data, images, etc. -Much improved mapping capability. Also includes the ability to apply data points over any image.
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Usability
Databricks
No answers on this topic
Spotfire
Basic tasks like generating meaningful information from large sets of raw data are very easy. The next step of linking to multiple live data sources and linking those tables and performing on the fly analysis of the imported data is understandably more difficult.
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Reliability and Availability
Databricks
No answers on this topic
Spotfire
Even though, it's a rather stable and predictable tool that's also fast, it does have some bugs and inconsistencies that shut down the system. Depending on the details, it could happen as often as 2-3 times a week, especially during the development period.
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Performance
Databricks
No answers on this topic
Spotfire
Generally, the Spotfire client runs with very good performance. There are factors that could affect performance, but normally has to do with loading large analysis files from the library if the database is located some distance away and your global network is not optimal. Once you have your data table(s) loaded in the client application, usually the application is quite good performance-wise.
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Support Rating
Databricks
No answers on this topic
Spotfire
Support has been helpful with issues. Support seems to know their product and its capabilities. It would also seem that they have a good sense of the context of the problem; where we are going with this issue and what we want the end outcome to be.
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In-Person Training
Databricks
No answers on this topic
Spotfire
The instructor was very in depth and provided relevant training to business users on how to create visualizations. They showed us how to alter settings and filter views, and provided resources for future questions. However, the instructor failed to cover data sources, connecting to data, etc. While it was helpful to see how users can use the data to create reports, they failed to properly instruct us on how to get the dataset in to begin with. We are still trying to figure out connections to certain databases (we have multiple different types).
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Online Training
Databricks
No answers on this topic
Spotfire
The online training is good, provides a good base of knowledge. The video demonstrations were well-done and easy to follow along. Provided exercises are good as well, but I think there could be more challenging exercises. The training has also gone up in price significantly in the last 3 years (in USD, which hurts us even more in Canada), and I'm not sure it is worth the money it now costs (it is worth how much it cost 3 years ago, but not double that.)
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Implementation Rating
Databricks
No answers on this topic
Spotfire
The original architecture I created for our implementation had only a particular set of internal business units in mind. Over the years, Spotfire gained in popularity in our company and was being utilized across many more business units. Soon, its usage went beyond what the original architectural implementation could provide. We've since learned about how the product is used by the different teams and are currently in the middle of rolling out a new architecture. I suggest:
  • Have clearly defined service level agreements with all the teams that will use Spotfire. Your business intelligence group might only need availability during normal working hours, but your production support group might need 24/7 availability. If these groups share one Spotfire server, maintenance of that server might be a problem.
  • Know the different types of data you will be working with. One group might be working with "public" data while another group might work with sensitive data. Design your Library accordingly and with the proper permissions.
  • Know the roles of the users of Spotfire. Will there only be a small set of report writers or does everyone have write access to the Library?
  • ALWAYS add a timestamp prompt to your reports. You don't want multiple users opening a report that will try and pull down millions of rows of data to their local workstations. Another option, of course, is to just hard code a time range in the backing database view (i.e. where activity_date >= sysdate - 90, etc.), but I'd rather educate/train the user base if possible.
  • This probably goes without saying, but if possible, point to a separate reporting database or a logical standby database. You don't want the company pounding on your primaries and take down your order system.
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Alternatives Considered
Databricks
I was not a part of the decision-making team who decided to go with Redash.
Read full review
Spotfire
Spotfire is significantly ahead of both products from an ETL and data ingestion capability. Spotfire also has substantially better visualizations than Power BI, and although the native visualizations aren't as flexible in Tableau, Spotfire enables users to create completely custom javascript visaualizations, which neither Tableau or Power BI has. Tableau and Power BI are likely only superior to Spotfire with respect to embedded analysis on a website.
Read full review
Scalability
Databricks
No answers on this topic
Spotfire
In an enterprise architecture, if Spotfire Advanced Data services(Composite Studio),data marts can be managed optimally and scalability in a data perspective is great. As the web player/consumer is directly proportional to RAM, if the enterprise can handle RAM requirement accomodating fail over mechanisms appropraitely, it is definitely scalable,
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Return on Investment
Databricks
  • Cost effective
  • One tool for multiple purpose
  • Easy access provision
Read full review
Spotfire
  • It is costly, so not suitable for small scale implementations.
  • Dashboards are as good as the developer, so need experience to get most out of it
  • You need to be on Spotfire 11 at least to implement out of the box visualizations
  • Integration with Python and R is a game changer, it comes very handy to onboard data scientists without much hassle
  • performance is exceptionally well.
  • Secure
Read full review
ScreenShots

Spotfire Screenshots

Screenshot of Smart Visual AnalyticsScreenshot of Geospatial AnalyticsScreenshot of Intelligent Data WranglingScreenshot of Point-and-click Data ScienceScreenshot of Real-time Streaming Analytics