TrustRadius

Dataiku vs. esProc SPL Community

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Dataiku
Score 8.5 out of 10
N/A
The Dataiku platform unifies data work from analytics to Generative AI. It supports enterprise analytics with visual, cloud-based tooling for data preparation, visualization, and workflow automation.N/A
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
Pricing
DataikuesProc SPL Community
Editions & Modules
Discover
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Business
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Enterprise
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Offerings
Pricing Offerings
DataikuesProc SPL Community
Free Trial
YesNo
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
DataikuesProc SPL Community
Features
DataikuesProc SPL Community
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Dataiku
8.6
5 Ratings
3% above category average
esProc SPL Community
-
Ratings
Connect to Multiple Data Sources8.05 Ratings00 Ratings
Extend Existing Data Sources10.04 Ratings00 Ratings
Automatic Data Format Detection10.05 Ratings00 Ratings
MDM Integration6.52 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Dataiku
10.0
5 Ratings
17% above category average
esProc SPL Community
-
Ratings
Visualization10.05 Ratings00 Ratings
Interactive Data Analysis10.05 Ratings00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Dataiku
9.5
5 Ratings
15% above category average
esProc SPL Community
-
Ratings
Interactive Data Cleaning and Enrichment9.05 Ratings00 Ratings
Data Transformations9.05 Ratings00 Ratings
Data Encryption10.04 Ratings00 Ratings
Built-in Processors10.04 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Dataiku
8.5
5 Ratings
1% above category average
esProc SPL Community
-
Ratings
Multiple Model Development Languages and Tools8.05 Ratings00 Ratings
Automated Machine Learning8.05 Ratings00 Ratings
Single platform for multiple model development8.05 Ratings00 Ratings
Self-Service Model Delivery10.04 Ratings00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Dataiku
8.0
5 Ratings
6% below category average
esProc SPL Community
-
Ratings
Flexible Model Publishing Options8.05 Ratings00 Ratings
Security, Governance, and Cost Controls8.05 Ratings00 Ratings
Best Alternatives
DataikuesProc SPL Community
Small Businesses
Jupyter Notebook
Jupyter Notebook
Score 8.5 out of 10
Jupyter Notebook
Jupyter Notebook
Score 8.5 out of 10
Medium-sized Companies
Posit
Posit
Score 10.0 out of 10
Posit
Posit
Score 10.0 out of 10
Enterprises
Posit
Posit
Score 10.0 out of 10
Posit
Posit
Score 10.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
DataikuesProc SPL Community
Likelihood to Recommend
10.0
(4 ratings)
-
(0 ratings)
Usability
10.0
(1 ratings)
-
(0 ratings)
Support Rating
9.4
(3 ratings)
-
(0 ratings)
User Testimonials
DataikuesProc SPL Community
Likelihood to Recommend
Dataiku
Dataiku is an awesome tool for data scientists. It really makes our lives easier. It is also really good for non technical users to see and follow along with the process. I do think that people can fall into the trap of using it without any knowledge at all because so much is automated, but I dont think that is the fault of Dataiku.
Verified User
Anonymous
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No answers on this topic
Pros
Dataiku
  • Allows users to collaborate and monitor individual tasks
  • Caters to both types of analysts, coders and non-coders, alike
  • Integrate graphs and plots with visualization tools such as Tableau
Verified User
Anonymous
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No answers on this topic
Cons
Dataiku
  • The integrated windows of frontend and backend in web applications make it cumbersome for the developer.
  • When dealing with multiple data flows, it becomes really confusing, though they have introduced a feature (Zones) to cater to this issue.
  • Bundling, exporting, and importing projects sometimes create issues related to code environment. If the code environment is not available, at least the schema of the flow we should be able to import should be.
Devesh Singh | TrustRadius Reviewer
Devesh Singh
Data Scientist II
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Usability
Dataiku
The user experience is very good. Everything feels intuitive and "flows" (sorry excuse the pun) so nicely, and the customization level is also appropriate to the tool. Even as a newer data scientist, it felt easy to use and the explanations/tutorials were very good. The documentation is also at a good level
Verified User
Anonymous
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Support Rating
Dataiku
The open source user community is friendly, helpful, and responsive, at times even outdoing commercial software vendors. Documentation is also top notch, and usually resolves issues without the need for human interactions. Great product design, with a focus on user experience, also makes platform use intuitive, thus reducing the need for explicit support.
Verified User
Anonymous
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No answers on this topic
Alternatives Considered
Dataiku
Anaconda is mainly used by professional data scientists who have profound knowledge of Python coding, mainly used for building some new algorithm block or some optimization, then the module will be integrated into the Dataiku pipeline/workflow. While Dataiku can be used by even other kinds of users.
Verified User
Anonymous
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scudata
No answers on this topic
Return on Investment
Dataiku
  • Customer satisfaction
  • Timely project delivery
Verified User
Anonymous
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scudata
No answers on this topic
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.