• Version 1.2
• Sold by Grid Dynamics

The Analytical Data Platform provides an end-to-end source-agnostic infrastructure to run streaming and batch applications, build machine learning pipelines, and create data quality checkers.

• Version 1.0
• Sold by Grid Dynamics

IoT Platform provides starter kit for building IoT platform and integration with edge node. Starter kit provides inference layer built in cloud and on edge, and comes with anomaly detection application on top of it.

• Version 1.03
• Sold by Grid Dynamics

Data quality approach in modern enterprise is a mission critical part of data management: it is one of key points of data governance and brings visibility into data processes.

• Version 1.03
• Sold by Grid Dynamics

ML platform provides end-to-end model lifecycle from commit up to production serving

• Version 1.5
• Sold by Grid Dynamics

Data Governance use case is a part of the Analytical Data Platform which includes Data Quality based on input data or results of data analytics and Data Lineage based on data pipeline and represent dependency between data.

• Version 1.06
• Sold by Grid Dynamics

Promotion Planning use case is a part of the Analytical Data Platform which implements cases when you need pricing prediction based on accumulated data such as price and discount catalogs.

• Version 1.07
• Sold by Grid Dynamics

Streaming use case is a part of the Analytical Data Platform which lends services for streaming analytics: provisions the Spark Streaming application and supports the stream of data via Amazon Kinesis for further storing them in a database.

• Version Release version 1.22.2.21
• Sold by Grid Dynamics

A platform for automated quality control and predictive maintenance using IIoT and AI

• Version 1.4.0
• Sold by Grid Dynamics

Anomaly Detection solution is the system is used to catch abnormal behaviour of connected infrastructure components, services, applications, data in e-commerce, banking, telecom, manufacturing, etc.

• Version 1.3.1
• Sold by Grid Dynamics

Analytical Data Platform: Use cases - it's a collection of different possibilities ( Batch capability, Streaming capability, Data Quality capability, Data Governance capability, Dashboard capability, ML capability: Visual Attributes, ML capability: Promotion Planning, ML capability: ML Operations, ML capability: ML observability)