TrustRadius

esProc SPL Community vs. IBM Watson Studio on Cloud Pak for Data

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
esProc SPL Community
Score 0.0 out of 10
Small Businesses (1-50 employees)
esProc SPL is an open-source and JVM-based analyzing and computing engine for structured data and semi-structured data, and capable at solving data problems, including hard to write, slow to run and difficult to operate and maintain. esProc SPL adopts self-created SPL (Structured Process Language) syntax, boasting the characteristics of low code, high performance, lightweight and versatility. Compared with SQL, SPL has more abundant data types and calculation features, which enhances…
$0
IBM Watson Studio
Score 10.0 out of 10
N/A
IBM Watson Studio enables users to build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio enables users can operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data and AI platform. The vendor states the solution simplifies AI lifecycle management and accelerates time to value with an open, flexible multicloud architecture.N/A
Pricing
esProc SPL CommunityIBM Watson Studio on Cloud Pak for Data
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
esProc SPL CommunityIBM Watson Studio
Free Trial
NoNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
esProc SPL CommunityIBM Watson Studio on Cloud Pak for Data
Features
esProc SPL CommunityIBM Watson Studio on Cloud Pak for Data
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
esProc SPL Community
-
Ratings
IBM Watson Studio on Cloud Pak for Data
8.1
22 Ratings
3% below category average
Connect to Multiple Data Sources00 Ratings8.022 Ratings
Extend Existing Data Sources00 Ratings8.022 Ratings
Automatic Data Format Detection00 Ratings10.021 Ratings
MDM Integration00 Ratings6.414 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
esProc SPL Community
-
Ratings
IBM Watson Studio on Cloud Pak for Data
10.0
22 Ratings
17% above category average
Visualization00 Ratings10.022 Ratings
Interactive Data Analysis00 Ratings10.022 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
esProc SPL Community
-
Ratings
IBM Watson Studio on Cloud Pak for Data
9.5
22 Ratings
15% above category average
Interactive Data Cleaning and Enrichment00 Ratings10.022 Ratings
Data Transformations00 Ratings10.021 Ratings
Data Encryption00 Ratings8.020 Ratings
Built-in Processors00 Ratings10.021 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
esProc SPL Community
-
Ratings
IBM Watson Studio on Cloud Pak for Data
9.5
22 Ratings
12% above category average
Multiple Model Development Languages and Tools00 Ratings10.021 Ratings
Automated Machine Learning00 Ratings10.022 Ratings
Single platform for multiple model development00 Ratings10.022 Ratings
Self-Service Model Delivery00 Ratings8.020 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
esProc SPL Community
-
Ratings
IBM Watson Studio on Cloud Pak for Data
8.0
22 Ratings
6% below category average
Flexible Model Publishing Options00 Ratings9.022 Ratings
Security, Governance, and Cost Controls00 Ratings7.022 Ratings
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esProc SPL CommunityIBM Watson Studio on Cloud Pak for Data
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Medium-sized Companies
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User Ratings
esProc SPL CommunityIBM Watson Studio on Cloud Pak for Data
Likelihood to Recommend
-
(0 ratings)
8.0
(65 ratings)
Likelihood to Renew
-
(0 ratings)
8.2
(1 ratings)
Usability
-
(0 ratings)
9.6
(2 ratings)
Availability
-
(0 ratings)
8.2
(1 ratings)
Performance
-
(0 ratings)
8.2
(1 ratings)
Support Rating
-
(0 ratings)
8.2
(1 ratings)
In-Person Training
-
(0 ratings)
8.2
(1 ratings)
Online Training
-
(0 ratings)
8.2
(1 ratings)
Implementation Rating
-
(0 ratings)
7.3
(1 ratings)
Product Scalability
-
(0 ratings)
8.2
(1 ratings)
Vendor post-sale
-
(0 ratings)
7.3
(1 ratings)
Vendor pre-sale
-
(0 ratings)
8.2
(1 ratings)
User Testimonials
esProc SPL CommunityIBM Watson Studio on Cloud Pak for Data
Likelihood to Recommend
scudata
No answers on this topic
IBM
It has a lot of features that are good for teams working on large-scale projects and continuously developing and reiterating their data project models. Really helpful when dealing with large data. It is a kind of one-stop solution for all data science tasks like visualization, cleaning, analyzing data, and developing models but small teams might find a lot of features unuseful.
Verified User
Anonymous
Read full review
Pros
scudata
No answers on this topic
IBM
  • Integration of IBM Watson APIs such as speech to text, image recognition, personality insights, etc.
  • SPSS modeler and neural network model provide no-code environments for data scientists to build pipelines quickly.
  • Enforced best-practices set up POCs for deployment in production with a minimum of re-work.
  • Estimator validation lets data scientists test and prove different models.
Christopher Penn | TrustRadius Reviewer
Christopher Penn
Co-Founder and Chief Innovator
Read full review
Cons
scudata
No answers on this topic
IBM
  • The cost is steep and so only companies with resources can afford it
  • It will be nice to have Chinese versions so that Chinese engineers can also use it easily
  • It takes a while to learn how to input different kinds of skin defects for detection
Verified User
Anonymous
Read full review
Likelihood to Renew
scudata
No answers on this topic
IBM
because we find out that DSX results have improved our approach to the whole subject (data, models, procedures)
Davide Tognon | TrustRadius Reviewer
Davide Tognon
Engineering Technician
Read full review
Usability
scudata
No answers on this topic
IBM
The UI flawlessly merges this offering by providing a neat, minimal, responsive interface
Isaiah King | TrustRadius Reviewer
Isaiah King
Founding Member
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Reliability and Availability
scudata
No answers on this topic
IBM
From time to time there are services unavailable, but we have been always informed before and they got back to work sooner than expected
Davide Tognon | TrustRadius Reviewer
Davide Tognon
Engineering Technician
Read full review
Performance
scudata
No answers on this topic
IBM
Never had slow response even on our very busy network
Davide Tognon | TrustRadius Reviewer
Davide Tognon
Engineering Technician
Read full review
Support Rating
scudata
No answers on this topic
IBM
I received answers mostly at once and got answered even further my question: they gave me interesting points of view and suggestion for deepening in the learning path
Davide Tognon | TrustRadius Reviewer
Davide Tognon
Engineering Technician
Read full review
In-Person Training
scudata
No answers on this topic
IBM
The trainers on the job are very smart with solutions and very able in teaching
Davide Tognon | TrustRadius Reviewer
Davide Tognon
Engineering Technician
Read full review
Online Training
scudata
No answers on this topic
IBM
The Platform is very handy and suggests further steps according my previous interests
Davide Tognon | TrustRadius Reviewer
Davide Tognon
Engineering Technician
Read full review
Implementation Rating
scudata
No answers on this topic
IBM
It surprised us with unpredictable case of use and brand new points of view
Davide Tognon | TrustRadius Reviewer
Davide Tognon
Engineering Technician
Read full review
Alternatives Considered
scudata
No answers on this topic
IBM
The main reason I personally changed over from Azure ML Studio is because it lacked any support for significant custom modelling with packages and services such as TensorFlow, scikit-learn, Microsoft Cognitive Toolkit and Spark ML. IBM Watson Studio provides these services and does so in a well integrated and easy to use fashion making it a preferable service over the other services that I have personally used.
Verified User
Anonymous
Read full review
Scalability
scudata
No answers on this topic
IBM
It helped us in getting from 0 to DSX without getting lost
Davide Tognon | TrustRadius Reviewer
Davide Tognon
Engineering Technician
Read full review
Return on Investment
scudata
No answers on this topic
IBM
  • Could instantly show data driven insights to drive 20% incremental revenue over existing results
  • Still don't have a real use case for unstructured data like twitter feed
  • Some of the insights around user actions have driven new projects to automate mundane tasks
Verified User
Anonymous
Read full review
ScreenShots

esProc SPL Community Screenshots

Screenshot of Debugging functions: set breakpoints, execute to cursor, single step, enter, skip, jump back. What you see is what you get, it is convenient to refer to intermediate results. Complete programming ability, the amount of code is smaller than that of Java, C#, and Python.Screenshot of supports executing SQL directly on txt/csv/xls/xlsx files, including operations such as condition filtering, fuzzy querying, group summarization, Join, from clause, with clause, Case when, COALESCE, Top-N, and limit n offset m.Screenshot of supports multi-step computation, which can break down a complex computing task into several simpler calculation steps to reduce computational complexity. The results of each step can be observed, making it easier to debug and maintain.Screenshot of provides an IDE that not only offers debugging and unit format programming, but also provides quick function help. Simply move the cursor to a function and press the Alt key to display a detailed explanation of the function.Screenshot of supports a complete flow processing structure, which has been simplified, including loops, conditionals, and sequential execution. This is an example of SPL code for solving the "Eight Queens Problem" to illustrate this.