What users are saying about
15 Ratings
5 Ratings
15 Ratings
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Score 8.7 out of 100
5 Ratings
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Score 8 out of 100

Likelihood to Recommend

Dataiku DSS

Dataiku DSS is very well suited to handle large datasets and projects which requires a huge team to deliver results. This allows users to collaborate with each other while working on individual tasks. The workflow is easily streamlined and every action is backed up, allowing users to revert to specific tasks whenever required.While Dataiku DSS works seamlessly with all types of projects dealing with structured datasets, I haven't come across projects using Dataiku dealing with images/audio signals. But a workaround would be to store the images as vectors and perform the necessary tasks.
Anonymous | TrustRadius Reviewer

Qubole

I find Qubole is well suited for getting started analyzing data in the cloud without being locked in to a specific cloud vendor's tooling other than the underlying filesystem. Since the data itself is not isolated to any Qubole cluster, it can be easily be collected back into a cloud-vendor's specific tools for further analysis, therefore I find it complementary to any offerings such as Amazon EMR or Google DataProc.
Jordan Moore | TrustRadius Reviewer

Feature Rating Comparison

Platform Connectivity

Dataiku DSS
8.9
Qubole
Connect to Multiple Data Sources
Dataiku DSS
9.8
Qubole
Extend Existing Data Sources
Dataiku DSS
9.6
Qubole
Automatic Data Format Detection
Dataiku DSS
9.6
Qubole
MDM Integration
Dataiku DSS
6.5
Qubole

Data Exploration

Dataiku DSS
8.5
Qubole
Visualization
Dataiku DSS
8.3
Qubole
Interactive Data Analysis
Dataiku DSS
8.7
Qubole

Data Preparation

Dataiku DSS
8.9
Qubole
Interactive Data Cleaning and Enrichment
Dataiku DSS
9.4
Qubole
Data Transformations
Dataiku DSS
9.1
Qubole
Data Encryption
Dataiku DSS
8.2
Qubole
Built-in Processors
Dataiku DSS
8.8
Qubole

Platform Data Modeling

Dataiku DSS
8.2
Qubole
Multiple Model Development Languages and Tools
Dataiku DSS
6.9
Qubole
Automated Machine Learning
Dataiku DSS
8.6
Qubole
Single platform for multiple model development
Dataiku DSS
8.6
Qubole
Self-Service Model Delivery
Dataiku DSS
8.6
Qubole

Model Deployment

Dataiku DSS
8.1
Qubole
Flexible Model Publishing Options
Dataiku DSS
8.0
Qubole
Security, Governance, and Cost Controls
Dataiku DSS
8.2
Qubole

NoSQL Databases

Dataiku DSS
Qubole
8.3
Performance
Dataiku DSS
Qubole
7.0
Availability
Dataiku DSS
Qubole
6.0
Concurrency
Dataiku DSS
Qubole
8.0
Security
Dataiku DSS
Qubole
7.0
Scalability
Dataiku DSS
Qubole
10.0
Data model flexibility
Dataiku DSS
Qubole
10.0
Deployment model flexibility
Dataiku DSS
Qubole
10.0

Pros

Dataiku DSS

  • The intuitiveness of this tool is very good.
  • Click or Code - If you are a coder, you can code. If you are a manager, you can wrangle with data with visuals
  • The way you can control things, the set of APIs gives a lot of flexibility to a developer.
Devesh Singh | TrustRadius Reviewer

Qubole

  • From a UI perspective, I find Qubole's closest comparison to Cloudera's HUE; it provides a one-stop shop for all data browsing and querying needs.
  • Auto scaling groups and auto-terminating clusters provides cost savings for idle resources.
  • Qubole fits itself well into the open-source data science market by providing a choice of tools that aren't tied to a specific cloud vendor.
Jordan Moore | TrustRadius Reviewer

Cons

Dataiku DSS

  • End product deployment.
Anonymous | TrustRadius Reviewer

Qubole

  • Providing an open selection of all cloud provider instance types with no explanation as to their ideal use cases causes too much confusion for new users setting up a new cluster. For example, not everyone knows that Amazon's R or X-series models are memory optimized, while the C and M-series are for general computation.
  • I would like to see more ETL tools provided other than DistCP that allow one to move data between Hadoop Filesystems.
  • From the cluster administration side, onboarding of new users for large companies seems troublesome, especially when trying to create individual cluster per team within the company. Having the ability to debug and share code/queries between users of other teams / clusters should also be possible.
Jordan Moore | TrustRadius Reviewer

Likelihood to Renew

Dataiku DSS

No score
No answers yet
No answers on this topic

Qubole

Qubole 6.0
Based on 1 answer
Personally, I have no issues using Amazon EMR with Hue and Zeppelin, for example, for data science and exploratory analysis. The benefits to using Qubole are that it offers additional tooling that may not be available in other cloud providers without manual installation and also offers auto-terminating instances and scaling groups.
Jordan Moore | TrustRadius Reviewer

Usability

Dataiku DSS

Dataiku DSS 10.0
Based on 1 answer
As I have described earlier, the intuitiveness of this tool makes it great as well as the variety of users that can use this tool. Also, the plugins available in their repository provide solutions to various data science problems.
Devesh Singh | TrustRadius Reviewer

Qubole

No score
No answers yet
No answers on this topic

Support Rating

Dataiku DSS

Dataiku DSS 9.1
Based on 3 answers
The support team is very helpful, and even when we discover the missing features, after providing enough rational reasons and requirements, they put into it their development pipeline for the future release.
Anonymous | TrustRadius Reviewer

Qubole

No score
No answers yet
No answers on this topic

Alternatives Considered

Dataiku DSS

Strictly for Data Science operations, Anaconda can be considered as a subset of Dataiku DSS. While Anaconda supports Python and R programming languages, Dataiku also provides this facility, but also provides GUI to creates models with just a click of a button. This provides the flexibility to users who do not wish to alter the model hyperparameters in greater depths. Writing codes to extract meaningful data is time consuming compared to Dataiku's ability to perform feature engineering and data transformation through click of a button.
Anonymous | TrustRadius Reviewer

Qubole

Qubole was decided on by upper management rather than these competitive offerings. I find that Databricks has a better Spark offering compared to Qubole's Zeppelin notebooks.
Jordan Moore | TrustRadius Reviewer

Return on Investment

Dataiku DSS

  • Given its open source status, only cost is the learning curve, which is minimal compared to time savings for data exploration.
  • Platform also ease tracking of data processing workflow, unlike Excel.
  • Build-in data visualizations covers many use cases with minimal customization; time saver.
Anonymous | TrustRadius Reviewer

Qubole

  • We like to say that Qubole has allowed for "data democratization", meaning that each team is responsible for their own set of tooling and use cases rather than being limited by versions established by products such as Hortonworks HDP or Cloudera CDH
  • One negative impact is that users have over-provisioned clusters without realizing it, and end up paying for it. When setting up a new cluster, there are too many choices to pick from, and data scientists may not understand the instance types or hardware specs for the datasets they need to operate on.
Jordan Moore | TrustRadius Reviewer

Pricing Details

Dataiku DSS

General

Free Trial
Yes
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Dataiku DSS Editions & Modules

Edition
DiscoverContact sales team
BusinessContact sales team
EnterpriseContact sales team
  1. none
Additional Pricing Details

Qubole

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Qubole Editions & Modules

Additional Pricing Details

Rating Summary

Likelihood to Recommend

Dataiku DSS
8.8
Qubole
8.0

Likelihood to Renew

Dataiku DSS
Qubole
6.0

Usability

Dataiku DSS
10.0
Qubole

Support Rating

Dataiku DSS
9.1
Qubole

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