Explorium vs. Keras

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Explorium
Score 7.7 out of 10
N/A
Explorium, headquartered in San Mateo, provides an External Data Platform that automatically discovers thousands of relevant data signals and uses them to improve analytics and machine learning. The automated Explorium Platform enables organizations to discover and use third party data to improve predictions and ML model performance. With faster, better insights, organizations can increase revenue, streamline operations and reduce risks.N/A
Keras
Score 7.8 out of 10
N/A
Keras is a Python deep learning libraryN/A
Pricing
ExploriumKeras
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
ExploriumKeras
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
ExploriumKeras
Top Pros

No answers on this topic

Top Cons

No answers on this topic

Features
ExploriumKeras
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Explorium
7.8
1 Ratings
8% below category average
Keras
-
Ratings
Connect to Multiple Data Sources8.01 Ratings00 Ratings
Extend Existing Data Sources8.01 Ratings00 Ratings
Automatic Data Format Detection7.01 Ratings00 Ratings
MDM Integration8.01 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Explorium
6.5
1 Ratings
26% below category average
Keras
-
Ratings
Visualization6.01 Ratings00 Ratings
Interactive Data Analysis7.01 Ratings00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Explorium
6.5
1 Ratings
24% below category average
Keras
-
Ratings
Interactive Data Cleaning and Enrichment6.01 Ratings00 Ratings
Data Transformations6.01 Ratings00 Ratings
Data Encryption7.01 Ratings00 Ratings
Built-in Processors7.01 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Explorium
7.3
1 Ratings
15% below category average
Keras
-
Ratings
Multiple Model Development Languages and Tools7.01 Ratings00 Ratings
Automated Machine Learning8.01 Ratings00 Ratings
Single platform for multiple model development8.01 Ratings00 Ratings
Self-Service Model Delivery6.01 Ratings00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Explorium
8.0
1 Ratings
7% below category average
Keras
-
Ratings
Flexible Model Publishing Options8.01 Ratings00 Ratings
Security, Governance, and Cost Controls8.01 Ratings00 Ratings
Best Alternatives
ExploriumKeras
Small Businesses
IBM SPSS Modeler
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Score 7.8 out of 10
IBM SPSS Modeler
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Score 7.8 out of 10
Medium-sized Companies
Mathematica
Mathematica
Score 8.2 out of 10
Posit
Posit
Score 9.2 out of 10
Enterprises
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
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Score 7.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
ExploriumKeras
Likelihood to Recommend
8.0
(1 ratings)
8.1
(6 ratings)
Usability
-
(0 ratings)
7.7
(2 ratings)
Support Rating
-
(0 ratings)
8.2
(2 ratings)
User Testimonials
ExploriumKeras
Likelihood to Recommend
Explorium
We need to constantly measures costs in our health business and we forecast pricing acoording to several values and conditions. Explorium works quite good analysing simple datasets, but when hierahies start to increase, meaning 6-10 olap variables, the system start to slow down quite a bit until was no longer to retrieve the info we required. This is why we test several tools, because even world-class solutions we purchase, don´t do the job we need. Explorium is a good tool, but complexity will be a minus in some scenarios.
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Open Source
Keras is quite perfect, if the aim is to build the standard Deep Learning model, and materialize it to serve the real business use case, while it is not suitable if the purpose is for research and a lot of non-standard try out and customization are required, in that case either directly goes to low level TensorFlow API or Pytorch
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Pros
Explorium
  • Data ready for consumption.
  • Good enough relationships between entities.
  • Nice integration with other players. That's a good thing.
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Open Source
  • One of the reason to use Keras is that it is easy to use. Implementing neural network is very easy in this, with just one line of code we can add one layer in the neural network with all it's configurations.
  • It provides lot of inbuilt thing like cov2d, conv2D, maxPooling layers. So it makes fast development as you don't need to write everything on your own. It comes with lot of data processing libraries in it like one hot encoder which also makes your development easy and fast.
  • It also provides functionality to develop models on mobile device.
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Cons
Explorium
  • relationships between entities could be better. Would be great to have scenarios.
  • The data normalized needs improvement. Works pretty good, but it needs more refinement when using AND-OR Formulas that came from various datasets.
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Open Source
  • As it is a kind of wrapper library it won't allow you to modify everything of its backend
  • Unlike other deep learning libraries, it lacks a pre-defined trained model to use
  • Errors thrown are not always very useful for debugging. Sometimes it is difficult to know the root cause just with the logs
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Usability
Explorium
No answers on this topic
Open Source
I am giving this rating depending on my experience so far with Keras, I didn't face any issue far. I would like to recommend it to the new developers.
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Support Rating
Explorium
No answers on this topic
Open Source
Keras have really good support along with the strong community over the internet. So in case you stuck, It won't so hard to get out from it.
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Alternatives Considered
Explorium
The simplicity of the tool is an advantage. The integrations as well work quite well. All these solutions have worked well until some point and what we have discovered over the years is that we need to combine various solutions. There is no such thing as one tool ruling them all. Explorium works quite well until we start testing more advanced relations, and here, the tool is promising but requires a little work.
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Open Source
Keras is good to develop deep learning models. As compared to TensorFlow, it's easy to write code in Keras. You have more power with TensorFlow but also have a high error rate because you have to configure everything by your own. And as compared to MATLAB, I will always prefer Keras as it is easy and powerful as well.
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Return on Investment
Explorium
  • Positive. The time save in analysis per hour of internal consulting was the best compared to our SAP and Cognos solutions.
  • In term of objetives works as stated, but when using multi-conditions of dataset, start the issues.
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Open Source
  • Easy and faster way to develop neural network.
  • It would be much better if it is available in Java.
  • It doesn't allow you to modify the internal things.
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