Solutions: Data Platforms
Modern foundations for a data-driven enterprise.
We partner with global technology leaders to implement scalable, resilient, and high-performance data infrastructure.
Cloud Data Platform (Snowflake)
Scalable cloud-native data warehousing that separates storage and compute for high performance.
Multi-Cloud Flexibility
Runs across AWS, Azure, and Google Cloud, eliminating vendor lock-in.
Separation of Storage and Compute
Independent scaling optimizes costs while maintaining workload performance.
Secure Data Sharing
Share data across teams or partners without duplication with governance and compliance.
Unified Platform for All Data
Single platform for analytics, machine learning, and data engineering across formats.
Unify cloud sources, databases, and application data into a governed analytical platform for BI, AI, and secure data sharing.
Data Streaming (Confluent)
Real-time data processing and event-driven application development (Kafka).
Real-Time Data Processing
Low-latency ingestion and processing of streaming data for instant insights.
Scalability and Resilience
Distributed architecture handles millions of events per second reliably.
Stream Governance and Security
Centralized schema management, role-based access, and lineage tracking.
Rich Connectivity Ecosystem
120+ pre-built connectors simplify integration across platforms.
Stream events from apps, databases, and devices through one real-time backbone that powers analytics, fraud detection, microservices, and IoT — all at once.
Graph Database (Neo4j)
Visual and intuitive data modeling for complex relationships and fraud detection.
Easy to Understand Data Model
Graph relationships are visual and intuitive, making it easier for teams to map entities and see how data connects.
Enable Query Process Automation with AI
Automation accelerates complex traversals and pattern discovery, helping analysts focus on insights instead of manual steps.
Ensuring Detail and Relevant Information
Neo4j highlights the most relevant nodes and paths, improving accuracy for investigations, recommendations, and fraud detection.
Identify suspicious patterns by connecting users, transactions, devices, locations, and related entities — like multiple accounts sharing one device.
Disaster Recovery (Zerto)
Near-synchronous replication and real-time encryption detection for business continuity.
Near-Synchronous Replication
Continuously replicates changed data to the recovery site with zero impact to production workloads.
Journal-Based Technology
Stores all protected data in a unique journal, enabling recovery to any point in time within the journal window.
Virtual Protection Groups
Protects applications with complex dependencies to simplify recovery of complete applications.
Encryption Detection
Detects checkpoints in the recovery journal to recover data to a good state before encryption.
Continuously replicate production workloads to a recovery site with journal-based, point-in-time recovery — detect encryption events and restore to a clean state, then fail over with minimal data loss.
Build your modern data stack.
Our architects can help you design and implement these platforms to meet your specific business needs.
Consult with Architect