TrustRadius

Forest Admin vs. IBM Analytics Engine

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Forest Admin
Score 9.9 out of 10
N/A
Forest Admin is a low-code SaaS solution that auto-generates an admin panel on top of a data source. After connecting a data source, Forest Admin generates two main components: an admin backend REST API for data models and business logic, and an admin frontend with a user interface and project settings. And the vendor states that Forest Admin never sees the data, they only host and manage the front-end. The Forest Admin Cloud can also be chosen, named Instant Setup in the…
$30
per month per user
IBM Analytics Engine
Score 7.1 out of 10
N/A
IBM BigInsights is an analytics and data visualization tool leveraging hadoop.N/A
Pricing
Forest AdminIBM Analytics Engine
Editions & Modules
Team
$30
per month per user
Pro
$60
per month per user
Enterprise
Custom
No answers on this topic
Offerings
Pricing Offerings
Forest AdminIBM Analytics Engine
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsDiscounts available for annual pricing.—
More Pricing Information
Community Pulse
Forest AdminIBM Analytics Engine
Considered Both Products
Forest Admin

No answer on this topic

IBM Analytics Engine
Verified User
Anonymous
Chose IBM Analytics Engine
We have tried the following solutions in the past and I must say they can't compare to IBM Analytics Engine:

Ejaz Hussain | TrustRadius Reviewer
Ejaz Hussain
Senior Analyst
Chose IBM Analytics Engine
Our data analytics team happened to try IBM Analytics just to get acquainted with it & it turned out that this tool fits our business requirement better than the one which we were using in terms of the features along with the level of support that they provide. so, choosing the …
Verified User
Anonymous
Chose IBM Analytics Engine
IBM Analytics is a great tool and a welcome addition to your overall IBM strategy. I think in cases of tools like this, you either go with what your platform works best with or you go completely different with a 3rd party, like Snowflake. We are an Azure shop and just happened …
Verified User
Anonymous
Chose IBM Analytics Engine
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 …
Verified User
Anonymous
Chose IBM Analytics Engine
We did an evaluation of Google Analytics and Microsoft Azure Stream Analytics in comparison to the IBM Analytics Engine product. We choose the product offering from IBM because we felt that for our company, this product offered a more complete and comprehensive package to …
Verified User
Anonymous
Chose IBM Analytics Engine
Hortonworks Data Platform, Apache Spark, Tableau Desktop and Tableau Online
Prasanna Nattuthurai | TrustRadius Reviewer
Prasanna Nattuthurai
Graduate Assistant
Chose IBM Analytics Engine
  • 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 …
Verified User
Anonymous
Chose IBM Analytics Engine
Our professor has worked with IBM And many major tech companies. He’d recommend us which tools to use. And comparing to Azure, IBM is more convenient to use.
Best Alternatives
Forest AdminIBM Analytics Engine
Small Businesses
Supermetrics
Supermetrics
Score 9.8 out of 10

No answers on this topic

Medium-sized Companies
Supermetrics
Supermetrics
Score 9.8 out of 10
Cloudera Manager
Cloudera Manager
Score 9.9 out of 10
Enterprises
IBM Analytics Engine
IBM Analytics Engine
Score 7.1 out of 10
Apache Spark
Apache Spark
Score 8.9 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Forest AdminIBM Analytics Engine
Likelihood to Recommend
-
(0 ratings)
9.5
(0 ratings)
User Testimonials
Forest AdminIBM Analytics Engine
Likelihood to Recommend
No answers on this topic
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
Verified User
Anonymous
Read full review
Pros
No answers on this topic
  • We are able to build and deploy clusters within minutes to simplify user experience and increase scalability and reliability.
  • We are able to scale and compute on-demand to handle newer workloads like machine learning.
  • We really like that we are able to access and administer the application via multiple interfaces.
Verified User
Anonymous
Read full review
Cons
No answers on this topic
  • I would like to see a more robust version of their online help
  • The speed of their business support is adequate, but I kind of expect more from such a powerhouse.
  • Problems with duration of cluster life
Verified User
Anonymous
Read full review
Alternatives Considered
No answers on this topic
  • 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
Prasanna Nattuthurai | TrustRadius Reviewer
Prasanna Nattuthurai
Graduate Assistant
Read full review
Return on Investment
No answers on this topic
  • 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.
Verified User
Anonymous
Read full review
ScreenShots

Forest Admin Screenshots

Screenshot of Table view of data on which action can be takenScreenshot of Operational dashboard view of key dataScreenshot of What You See Is What You Get interfaceScreenshot of Team management featuresScreenshot of Forest Admin Data View (example from a fleet management live demo)Screenshot of Custom Interface made with Forest Admin no code editor