Intelligent Data Lakehouse
Unified, Scalable and Modern Data Foundation for the Future
Build a modern data foundation that unifies storage, processing, and analytics, powered by open-source technologies and designed for scalability, flexibility, and governance.
The Future of Data Management
Synaptique's Data Lakehouse Platform combines the flexibility of data lakes with the reliability and performance of data warehouses. It supports structured, semi-structured, and unstructured data, enabling real-time analytics, governance, and scalability across all industries.
Key Capabilities
Enterprise-grade features for modern data infrastructure
Unified Storage Architecture
One platform for all your data, combining data lakes' scalability with warehouse-grade governance and performance.
- Single source of truth for all data
- Cost-efficient cloud object storage
- Enterprise-grade governance
- Performance optimization
Support for Diverse Data Types
Ingest, process, and analyze all types of data seamlessly.
- Structured relational data
- Semi-structured (JSON, XML)
- Unstructured (text, images, video)
- IoT signals and real-time streams
Open & Standardized Formats
Built on open standards with no vendor lock-in.
- Apache Iceberg support
- Apache Hudi integration
- Delta Lake compatibility
- Schema evolution & time travel
Separation of Storage & Processing
Decouple compute from storage for independent scaling.
- Cost-efficient storage layer
- Flexible compute allocation
- Multi-engine compatibility
- On-demand resource scaling
End-to-End Streaming Support
Handle real-time and batch data in a unified framework.
- Real-time data ingestion
- Stream processing pipelines
- Historical batch analysis
- Immediate insights from live data
ACID Transactions
Guarantee data accuracy and integrity with ACID compliance.
- Delta Lake transactions
- Schema enforcement
- Version control
- Concurrent read/write support
Incremental Data Processing
Leverage Apache Hudi for efficient data updates.
- Incremental ingestion
- Change Data Capture (CDC)
- Efficient dataset updates
- Reduced processing overhead
Advanced Table Management
Apache Iceberg provides flexibility and governance.
- Schema evolution support
- Time travel capabilities
- Multi-engine compatibility
- Metadata optimization
Distributed SQL Queries
Execute fast, federated SQL queries with Trino & Presto.
- No ETL required
- Query-in-place capability
- Multi-source federation
- Sub-second performance
Technology Stack
Built on industry-leading open source frameworks
Apache Ozone
S3 compatible, highly scalable, distributed storage for Analytics
Apache Iceberg
Open analytics table format with schema evolution
Trino
Distributed SQL query engines for real-time analytics
Starburst
Distributed SQL query engines for real-time analytics
Use Cases
Powering data-driven transformation across industries
For Telecom Operators
Centralize and analyze network, CDR, and subscriber data for operational excellence.
- Centralize network, CDR, and subscriber data in one repository
- Support AI/ML analytics for revenue assurance and QoS optimization
- Enable real-time insights across distributed systems
- Reduce data silos and improve data accessibility
For Telecom Regulators
Aggregate and analyze operator data for market oversight and compliance.
- Aggregate operator data for market monitoring and compliance
- Enable cross-operator analytics without data duplication
- Improve tax verification and fraud detection accuracy
- Ensure data transparency across the industry
For Banks & Financial Institutions
Consolidate financial data for compliance, analytics, and fraud prevention.
- Consolidate transactional, customer, and compliance data
- Support real-time AML/KYC and fraud analytics
- Ensure traceability with versioned data storage
- Meet regulatory requirements with audit trails
For Enterprises
Integrate diverse data sources to power BI, analytics, and AI/ML workloads.
- Integrate disparate data sources (IoT, ERP, CRM, etc.)
- Power BI, analytics, and predictive insights
- Scale AI/ML workloads with reliable data pipelines
- Build a future-proof data foundation