January 28, 2022
DATRICS UPDATES V1.2.13

Better design, first user experience, and clickhouse connector

ClickHouse Connector

ClickHouse is an open-source, high-performance columnar OLAP database management system for real-time analytics using SQL. ClickHouse is a super popular database for analytics and now you can use it with no-code analytics in Datrics.

New bricks design

We've updated the design of the bricks on the canvas. You can add a brick description, all icons were updated to give better look and feel and a clear understanding of what's happening in the pipeline. When you select brick, buttons appear directly on the canvas to delete and copy brick.

Automatic suggestions

In the new version, you can get recommendations on what to do with your data.Just drag and drop your dataset on canvas and click on the "brick recommendations" button.Datrics will automatically give you an idea of how to solve one of the five common problems:

  • Build a predictive model
  • Explore data and do segmentation
  • Time-series forecasting
  • Data preparation and processing
  • Anomaly detection

Check out our previous updates

Deployments: Deployments, first user experience, and performance

Deployments, first user experience, and performance

In this version, we created the pipeline deployments from scratch by introducing a new fault-tolerant and reliable architecture. Now enterprise users can run pipelines in production in a separate computation cluster that gives better performance and stability.
Deployments: Deployments, first user experience, and performance

Stability, performance and improved binning

Freezing in Parse List and Parse JSONThe functionality for working with JSONs and Lists now has the freezing option. This allows to train the pipeline to produce set number and names of features, even with the new data that's different to the previous data set. Working with deployed pipelines that consist of those bricks had become easier.
Datrics Updates: Models explainability, transformers, and automated data preparation

Models explainability, transformers, and automated data preparation

Models explainability, transformers, and automated data preparation in the release of the no code analytics platform
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