Gigasheet vs. IBM Analytics Engine

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Gigasheet
Score 0.0 out of 10
Small Businesses (1-50 employees)
Gigasheet is a big data spreadsheet that combines the ease of use of a spreadsheet, the power of a database, and the scale of the cloud, enabling anyone who can use a spreadsheet to analyze big data, without writing code. Instantly analyze big data sets. No database needed. Upload any huge data file, or import from popular cloud apps such as Google Drive, OneDrive, DropBox, and Box. Analyze multi-million row CSV files Query massive JSON data…
$95
per month per user
IBM Analytics Engine
Score 7.3 out of 10
N/A
IBM BigInsights is an analytics and data visualization tool leveraging hadoop.N/A
Pricing
GigasheetIBM Analytics Engine
Editions & Modules
Premium
$79
per month per user
No answers on this topic
Offerings
Pricing Offerings
GigasheetIBM Analytics Engine
Free Trial
NoNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsEnterprise edition offers advanced customization for organizations, scale and support
More Pricing Information
Community Pulse
GigasheetIBM Analytics Engine
Best Alternatives
GigasheetIBM Analytics Engine
Small Businesses
Supermetrics
Supermetrics
Score 9.9 out of 10

No answers on this topic

Medium-sized Companies
Supermetrics
Supermetrics
Score 9.9 out of 10
Cloudera Manager
Cloudera Manager
Score 9.9 out of 10
Enterprises
IBM Analytics Engine
IBM Analytics Engine
Score 7.3 out of 10
Apache Spark
Apache Spark
Score 9.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
GigasheetIBM Analytics Engine
Likelihood to Recommend
-
(0 ratings)
9.5
(9 ratings)
User Testimonials
GigasheetIBM Analytics Engine
Likelihood to Recommend
Gigasheet
No answers on this topic
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.
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Pros
Gigasheet
No answers on this topic
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.
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Cons
Gigasheet
No answers on this topic
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.
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Alternatives Considered
Gigasheet
No answers on this topic
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.
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Return on Investment
Gigasheet
No answers on this topic
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.
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ScreenShots

Gigasheet Screenshots

Screenshot of Gigasheet - Big Data Cloud SpreadsheetScreenshot of Gigasheet no-code filtersScreenshot of Data cleanup tools