The Rapidata Platform

Everything you need to build, run, and scale real-time data analytics — in one unified platform.

Built for real-time data at enterprise scale

Rapidata brings together stream processing, business intelligence, and data pipeline orchestration into a single platform that your entire organization can use.

Core Engine

Real-Time Stream Processing

Process millions of events per second with sub-5ms end-to-end latency. Our distributed streaming engine is built on battle-tested open-source foundations — Apache Kafka for durable event transport and Apache Flink for stateful stream transformations — wrapped in a managed service that eliminates operational complexity.

  • Exactly-once processing semantics with automatic failure recovery
  • Horizontal auto-scaling based on real-time throughput metrics
  • Backpressure handling and intelligent buffering for traffic spikes
  • Multi-region replication for disaster recovery and global deployments
  • Consumer lag monitoring and automatic alerting via Slack or PagerDuty
Real-Time Stream Processing
Intelligent Analytics Dashboard

Insights Layer

Business Intelligence & Dashboards

Turn your raw data streams into actionable dashboards that update in real time. Rapidata's BI layer is designed for both technical users who want SQL-level control and business stakeholders who need drag-and-drop simplicity. Share dashboards across your organization with role-based access controls and embedded analytics for customer-facing applications.

  • Visual drag-and-drop dashboard builder with 40+ chart types
  • SQL editor with autocomplete and query optimization suggestions
  • Scheduled report delivery via email or Slack
  • Embeddable analytics with single-sign-on (SSO) support
  • Mobile-responsive dashboards optimized for on-the-go decision making

Orchestration

Enterprise Data Pipelines

Design, deploy, and monitor enterprise-grade data pipelines without writing infrastructure code. Rapidata's visual pipeline builder gives your team a point-and-click interface for the full ETL/ELT lifecycle — from raw data ingestion through transformations, enrichments, and delivery to your data warehouse, data lake, or downstream applications.

  • 150+ native connectors for databases, SaaS apps, cloud storage, and APIs
  • Visual DAG editor with real-time execution visualization
  • dbt integration for SQL-based transformation workflows
  • Built-in data quality checks and schema validation at each pipeline stage
  • Alerting on pipeline failures, SLA breaches, and data freshness violations
Data Pipeline Orchestration

Technical specifications

Built for engineers who care about performance, reliability, and security.

Performance

Performance

10 billion events per day throughput. Sub-5ms processing latency. 99.99% uptime SLA backed by a financial credit guarantee.

Security

Security

SOC 2 Type II certified. GDPR and CCPA compliant. TLS 1.3 encryption in transit. AES-256 encryption at rest. Column-level access controls.

Deployment

Deployment

Available as fully managed cloud service (AWS, GCP, Azure) or self-hosted in your own VPC. Single-tenant option for regulated industries.

Developer

Developer Experience

Fully documented REST API. Python, JavaScript, and Go SDKs. Terraform provider. GitHub Actions integration for CI/CD pipeline deployments.

Scalability

Scalability

Auto-scaling from startup throughput to enterprise volume. Horizontal scaling with zero downtime. No capacity planning required.

Support

Support

Dedicated customer success manager for Enterprise plans. 24/7 on-call support. Average response time under 15 minutes for critical issues.

See Rapidata in action

Schedule a live demo with our solutions engineering team and see how Rapidata can transform your data infrastructure.

Request a Demo