Features
- Unified data ingestion from APIs, databases, event streams and logs
- Real-time streaming pipelines
- Batch processing for historical analytics and ML training
- Schema management and transformations via code or declarative config
- Metadata, governance and lineage for data quality and compliance
- API access to serve modeled data to apps and analytics
- Connectors for Snowflake, BigQuery, Kafka and dbt
- Automated retries, failure handling and drift detection
- CLI and Git-centric pipeline configuration
Pricing Details
💰 Pricing Model: Usage-based / Subscription (custom enterprise pricing) 🆓 Free Plan Details: • Limited access for evaluation or small workloads • Free tier depending on data volume and retention 💳 Paid Plan Details: • Scaled pricing based on data throughput & retention • Enterprise SLAs, support, and governance features • High-availability and security options