IBM Analytics Engine vs. Redash

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM Analytics Engine
Score 8.7 out of 10
N/A
IBM BigInsights is an analytics and data visualization tool leveraging hadoop.N/A
Redash
Score 7.9 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
Pricing
IBM Analytics EngineRedash
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM Analytics EngineRedash
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
IBM Analytics EngineRedash
Top Pros
Top Cons
Features
IBM Analytics EngineRedash
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
IBM Analytics Engine
-
Ratings
Redash
6.7
4 Ratings
22% below category average
Pixel Perfect reports00 Ratings7.14 Ratings
Customizable dashboards00 Ratings7.34 Ratings
Report Formatting Templates00 Ratings5.54 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
IBM Analytics Engine
-
Ratings
Redash
5.9
4 Ratings
29% below category average
Drill-down analysis00 Ratings5.54 Ratings
Formatting capabilities00 Ratings7.34 Ratings
Integration with R or other statistical packages00 Ratings2.83 Ratings
Report sharing and collaboration00 Ratings7.94 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
IBM Analytics Engine
-
Ratings
Redash
5.4
4 Ratings
43% below category average
Publish to Web00 Ratings8.02 Ratings
Publish to PDF00 Ratings7.14 Ratings
Report Versioning00 Ratings5.53 Ratings
Report Delivery Scheduling00 Ratings2.73 Ratings
Delivery to Remote Servers00 Ratings3.93 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
IBM Analytics Engine
-
Ratings
Redash
6.4
4 Ratings
24% below category average
Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings6.94 Ratings
Location Analytics / Geographic Visualization00 Ratings7.52 Ratings
Predictive Analytics00 Ratings4.23 Ratings
Pattern Recognition and Data Mining00 Ratings7.01 Ratings
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IBM Analytics EngineRedash
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User Ratings
IBM Analytics EngineRedash
Likelihood to Recommend
9.5
(9 ratings)
8.3
(4 ratings)
User Testimonials
IBM Analytics EngineRedash
Likelihood to Recommend
IBM
  • Well suited for my big data related project or a static data set analysis especially for uploading huge dataset to the cluster.
  • But had some issues with connecting IoT real-time data and feeding to Power BI. It might be my understanding please take it as a mere comment rather than a suggestion.
Read full review
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
Pros
IBM
  • Jobs with Spark, Hadoop, or Hive queries are rapidly attained
  • Can collect, organize and analyze your data accurately
  • You can customize, for example, Spark or Hadoop configuration settings, or Python, R, Scala, or Java libraries.
Read full review
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
Cons
IBM
  • Easier pricing and plug-and-play like you see with AWS and Azure, it would be nice from a budgeting and billing standpoint, as well as better support for the administration.
  • Bundling of the Cloud Object Storage should be included with the Analytics Engine.
  • The inability to add your own Hadoop stack components has made some transfers a little more complex.
Read full review
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
Alternatives Considered
IBM
We initially wanted to go with Google BigQuery, mainly for the name recognition. However, the pricing and support structure led us to seek alternatives, which pointed us to IBM. Apache Spark was also in the running, but here IBM's domination in the industry made the choice a no-brainer. As previously stated, the support received was not quite what we expected, but was adequate.
Read full review
Databricks
I was not a part of the decision-making team who decided to go with Redash.
Read full review
Return on Investment
IBM
  • This product has allowed us to gather analytics data across multiple platforms so we can view and analyze the data from different workflows, all in one place.
  • IBM Analytics has allowed us to scale on demand which allows us to capture more and more data, thus increasing our ROI.
  • The convenience of the ability to access and administer the product via multiple interfaces has allowed our administrators to ensure that the application is making a positive ROI for our business users and partners.
Read full review
Databricks
  • Cost effective
  • One tool for multiple purpose
  • Easy access provision
Read full review
ScreenShots