Choose the Streaming Data Fabric Deployment That Fits Your Scale
Run Ingext self-hosted, fully managed, or on-premise to collect, transform, route, store, and search operational data before it reaches downstream tools.
Pick the operating model that matches your control requirements: free self-hosted for teams that want to own the stack, SaaS for fast rollout, or dedicated on-prem for high-throughput private infrastructure.
Start with ownership
Run the same fabric on your own infrastructure when sovereignty, isolation, or infrastructure economics matter most.
Scale by value
Route high-value data to expensive tools and shift full-fidelity history to lower-cost open storage.
Avoid forced lock-in
Keep collection and retention independent so changing analytics, AI, SIEM, lakehouse, or observability tools does not mean rebuilding your pipeline.
Community Edition
Run the full Ingext streaming data fabric in your own cloud or data center with complete control.
- Complete Ingext platform with all features
- Self-hosted on your infrastructure (AWS, Azure, GCP)
- Kubernetes deployment via Helm charts
- Full data routing, transformation, and normalization
- Data Lake storage with Parquet integration
- Community support and documentation
- No usage limits or restrictions
SaaS Cloud
Managed streaming data fabric with elastic scaling, continuous updates, and fast time-to-value.
- Fully managed cloud environment
- Elastic storage and automatic scaling
- Continuous upgrades and monitoring
- $0.30 per GB ingress fee
- $0.023 per GB/month Data Lake storage (calculated as GB/day × 0.023 × 365)
- $0.007 per GB data scanned
- Supports Long-Term Self Hosted Datalake Storage
Enterprise On-Premise
Dedicated high-throughput streaming data fabric for private infrastructure and strict operational control.
- Three 1U server configuration with failover
- 116 TB Data Lake Storage included
- 500K EPS ingestion rate
- 5M records/sec search speed
- 24×7 enterprise support
- Dedicated deployment assistance
Calculate Downstream Data Savings
See how upstream filtering, routing, and searchable lakehouse retention can reduce expensive downstream ingest while preserving full-fidelity history.
Frequently Asked Questions
How does Ingext reduce downstream data costs?
By transforming, filtering, and routing operational data before it reaches expensive analytics, AI, search, observability, or SIEM platforms, Ingext reduces unnecessary ingest while preserving visibility.
Can Ingext run both in cloud and on-premise?
Yes. Ingext supports hybrid environments and can route, normalize, and store data across both on-prem and cloud systems seamlessly.
How is data retention priced?
You can choose between interactive retention for active search or archive storage for long-term retention. Pricing is per-GB per-month.
Can we expand storage beyond 116 TB?
Yes. Additional storage is available at $1,088 per TB. Ingext automatically scales data indexing and retention policies accordingly.
Do you provide custom pricing?
Enterprise deployments can be fully customized. Contact our sales team for architecture-specific pricing and cluster sizing.
Get Support & Resources
We're here to help you succeed with Ingext. Access documentation, community support, and expert guidance.
Quick Start Guide
Get up and running with Ingext in minutes. Follow our step-by-step installation guide.
Ready to Pipe Cleaner Data Everywhere?
Deploy the free Community Edition on your infrastructure or contact our team for managed streaming data fabric deployments.