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Enterprise Layer Intelligence
Categories/Data Platform & Integration/StreamNative
StreamNative

StreamNative

Founded 2019

Stream real-time data into lakehouses and serve live context to applications and agents

Pricing model

Free Trial

You can use StreamNative to manage real-time data streaming using Apache Kafka and Apache Pulsar protocols without maintaining complex cluster sprawl. It connects live event streams directly to your data lakehouse tables, such as Apache Iceberg and Delta Lake, on shared cloud object storage. With this setup, your engineering teams can transport, transform, and govern continuous event data for microservices, operational analytics, and autonomous AI agents. It applies centralized access control, auditing, and data lineage across all streaming inputs and analytical outputs.

What StreamNative does

Deploy a managed Apache Pulsar or Kafka clusterStream event topics directly to object storage tablesConfigure role-based access policies and audit logging for event streamsSet up cross-region geo-replication for messaging queuesConnect AI agent workflows to live streaming contextMonitor message throughput and consumer lag across topicsMigrate existing Kafka producers and consumers without altering application codeRuns Apache Kafka and Apache Pulsar interfaces natively without code rewritesStores streaming data directly on cloud object storage alongside Iceberg and Delta tablesEliminates separate pipelines between streaming data and lakehouse storageProvides millisecond event subscription for real-time applications and AI agentsEnforces centralized data governance, role-based access control, and full audit logsSupports multi-tenancy and geo-replication across cloud environments

Pricing breakdown

Pricing model: Free trial

PlanList price
Serverless$73 / mo
Dedicated$505 / mo
BYOC$365 / mo

Frequently asked

Apache Kafka, Apache Pulsar, Apache Iceberg, Delta Lake, Apache Flink, Apache BookKeeper

Used by

Ghita EL Haitmy

Ghita EL Haitmy

CTO / VP of Engineering @ ELI

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StreamNative, Apache Pulsar, Apache Kafka, data streaming, event streaming, streamhouse, Apache Iceberg, Delta Lake, real-time data, message queue, data lakehouse, event-driven architecture, streaming data, cloud messaging, data governance