Analytical data platform

Increase speed to insights. Manage enterprise data assets, migrate from on-premise EDW to cloud, improve data accessibility and quality, and increase the return on investment with our solution and accelerator.

Our clients

Retail
Hi-tech
Manufacturing
Finance
Analytical data platform accelerator provides a set of pre-integrated capabilities covering end-to-end data lifecycle from ingestion to machine learning including batch processing and streaming data ingestion, data processing, data transformation, data management, catalog and lineage, data pipeline orchestration, data preparation, data warehouses, reporting, as well as AI platform. It is built on the best of breed combination of open source software, saas platforms, as well as cloud-based services. The solution has been battle tested in company-wide numerous deployments in Fortune-5000 companies and technology startups, satisfying the strictest performance and security requirements. analytics data platform - data lake, Grid Dynamics
10
petabytes of data
1,000,000
events / second
100s
data sources
1000s
managed data pipelines
High
quality and accessibility

Technology stack

Capability Open-source 3rd party AWS GCP Azure
Data lake
Messaging
EDW N/A
Access layer N/A
Orchestration
Data catalog
Data quality
Application platform
AI platform
Capability Data lake Messaging EDW Access layer Orchestration Data catalog Data quality Application platform AI platform
Open-source N/A
3rd party
AWS
GCP N/A
Azure

We provide flexible engagement options to design and build analytical data platforms and AI use cases at scale. Clients take advantage of our accelerators to increase their speed to insights and reduce the risk. Contact us today to start with a workshop, discovery, or PoC.

Workshop

We offer free half-day workshops with our top experts in big data and analytics to discuss your stream processing strategy, challenges, optimization opportunities, and industry best practices.

Proof of concept

If you have already identified a specific use case for big data or fast data, we usually can start with a 4–8-week proof-of-concept project to deliver tangible results for your company.

Discovery

If you are in the stage of requirements analysis and data strategy development, we can start with a 2–3-week discovery phase to perform gap analysis, design your solution, and build an implementation roadmap.