FEATURES

Upstream Data Control

Cut data platform costs 50-70% by filtering, transforming, and governing data at the source - before it hits Snowflake, Splunk, or Datadog.

50-70%
Cost Reduction
10,000+
Nodes per Cluster
Enterprise
Security Standards

Upstream Cost Control

Stop paying twice for the same data

Filter at the source

Filter at the source

Reduce data volume 50-70% before it reaches downstream platforms. Only send what matters.

Typical savings: $500K-$2M annually
Eliminate egress fees

Eliminate egress fees

Process data where it lives. Stop paying cloud providers to move your own data.

Zero cross-region transfer costs
Optimize platform spend

Optimize platform spend

Native integrations with Snowflake, Databricks, Splunk, Datadog. Make them cheaper and faster.

Halve onboarding time

Built-In Governance

Compliance before data moves, not after

Policy-driven pipelines

Policy-driven pipelines

Declarative rules enforce masking, filtering, and routing. No brittle custom code.

Data sovereignty by default

Data sovereignty by default

Your data stays in your infrastructure. Process locally, send only what's needed.

Supports fully air-gapped deployments
Audit trail built-in

Audit trail built-in

Every transformation logged. Prove compliance to auditors without manual work.

Distributed Intelligence

Run analytics where data lives

Compute over data

Compute over data

Move workloads to data sources. Get answers in minutes, not weeks.

10x faster than centralized processing
Real-time decision-making

Real-time decision-making

Process and act on data at the source. No waiting for centralized pipelines.

Distributed query engine

Distributed query engine

Query across thousands of distributed nodes from a single control plane.

Enterprise Scale

Built for production from day one

10,000+ nodes per cluster

10,000+ nodes per cluster

Linear scaling with no performance degradation. Tested to 100,000+ nodes.

99.9% uptime SLA

99.9% uptime SLA

Enterprise reliability with automatic failover and intelligent backpressure.

Enterprise security standards

Enterprise security standards

Security and compliance built-in, not bolted on. Financial and healthcare ready.

200+ Pre-Built Connectors

Integrate with your entire data stack - or request custom connectors for your specific needs

61 Input Connectors

61 Input Connectors

Kafka, HTTP, S3, files, MQTT, NATS, Pulsar, databases, and more. Ingest from anywhere.

74 Processors

74 Processors

Transform, filter, mask PII, aggregate, compress, and enrich data in real-time.

Zero-code transformations
71 Output Connectors

71 Output Connectors

Snowflake, Databricks, Splunk, Datadog, S3, databases, streaming platforms, and more.

Ready to cut your data platform costs in half?

Join enterprises saving millions with upstream data control.

Book a Demo