Dataiku vs. EViews

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.

Incentivized

High-frequency data, with frequencies of hours and seconds, is needed for the database. There are also frequency options that are multi-year, bimonthly, fortnightly, ten-day, and daily. With a large database, this kind of data can be handled with the E-Views package. Using the nonparametric kernel, this software can compute long-run variances that are symmetric or one-sided.

Incentivized

• 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.

Incentivized

• Useful for modeling and forecasting for agribusiness research
• Data is simple to import and manipulate
• Extensive collection of econometric tools and methods

Incentivized

• End product deployment.

Incentivized

• For panel data analysis, it is not robust
• There is a need to enhance table features
• Obtaining results for arbitrary maximization or minimization may not be possible using the same algorithm

Incentivized

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.

Incentivized

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.

Incentivized

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.

Incentivized

Time-series data analysis is very accessible with EViews. It makes data analysis easier without requiring the writing of intricate scripts. A database frequently needs long-term computations of covariance and variance, where the errors are randomly distributed and represent a specific kind of sequence. For regression, time series analysis, and other statistical tasks, I found time series to be useful in my agribusiness research.

Incentivized

• 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.

Incentivized

• Numerous effective and potent statistics for our research project can be obtained
• Can perform powerful functions with data if they comprehend the statistical and mathematical theory underlying forecasting
• can carry out a wide range of statistical analyses, time series modeling, forecasting, and data manipulation tasks for our research project

Incentivized