A high-performance, API-first platform for real-time data ingestion, stream processing, model orchestration, and governed delivery. Built for scale, designed for reliability.
Modular components connected via event-driven architecture for maximum throughput and fault tolerance.
Multi-protocol connectors for Kafka, REST, gRPC, CDC, and batch uploads with automatic schema validation.
Distributed compute cluster with auto-scaling, SQL/Python execution, and ML model inference pipelines.
Role-based access control, audit logging, data cataloging, and seamless export to BI tools or warehouses.
Sub-second latency for event streams with exactly-once semantics.
Git-style version control for data transformations and model deployments.
End-to-end encryption, OAuth2/OIDC, and dynamic data masking.
Resource allocation adapts to load without manual intervention.
Built-in tracing, metrics dashboards, and alerting for pipeline health.
Python, Go, and TypeScript SDKs with comprehensive CLI tooling.
Connect seamlessly with your existing data stack and cloud infrastructure.
Audited controls for security, availability, and confidentiality.
Data residency controls, right-to-erasure, and consent management.
Full encryption at rest and in transit with key rotation.
BAA available for healthcare data processing workloads.
Get hands-on with the DataPulse Core Platform. Free tier includes 50M events/month, 3 workers, and full API access.