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StreamNative & Databricks
Unlock Real-Time Data Streaming for the Databricks Lakehouse

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What's new

Integration with Databricks Unity Catalog

Try Unity catalog integration today to effortlessly connect streaming data pipelines to popular Lakehouse catalogs, such as Unity Catalog, Iceberg REST Catalog, and others, unlocking advanced capabilities for real-time data management and analytics.

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Pulsar - Spark connector

Seamlessly integrate the high-speed, low-latency data ingestion capabilities of Apache Pulsar with the advanced data processing and analytics capabilities of Apache Spark, ensuring data flows smoothly from ingestion to analysis, all in real-time.

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[Virtual workshop] Augment Your Lakehouse with Streaming Capabilities for Real-Time AI

Build a Streaming-Augmented Lakehouse using StreamNative's powerful Ursa Engine. This workshop covers streaming data into Delta Lake and Iceberg formats alongside built-in integrations with the Databricks Unity Catalog.

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The most cost effective way to ingest real-time data into lakehouse
StreamNative partners with Databricks to enable enterprises to seamlessly stream data into the Databricks Lakehouse Catalog. With multiple integration options available, organizations can select the best approach for their needs—whether for governance, storage efficiency, or advanced analytics.

Seamless Data Streaming

Easily stream real-time data into Databricks Lakehouse.

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Flexible Integration Options

Choose from native Unity Catalog integration, Delta Lake streaming, or Spark connectors.

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Optimized Performance

Ensure high-performance, cost-effective data streaming at scale.

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Integration options
for Your Databricks Lakehouse Catalog
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Native Integration with
Databricks Unity Catalog
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Effortlessly configure out-of-the-box integration within StreamNative Cloud to stream data directly into Databricks Unity Catalog, ensuring:
Unified data governance
across real-time and batch workloads.
Simplified data management
for seamless discovery and analytics.
Lakehouse Connector
for Delta Lake
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Organizations can utilize the Lakehouse Connector to stream topic data in Delta Lake format to cost-efficient cloud storage services. This approach ensures:
Optimized storage costs
while retaining query-ready data.
Flexibility
to manage data independently of Unity Catalog.
Pulsar Spark Connector
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The Pulsar-Spark Connector enables enterprises to pull Pulsar topic data directly into the Databricks workspace, allowing for:
Real-time data processing
within Databricks.
Advanced analytics and machine learning workflows.
Kafka Spark Connector
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For organizations using Kafka, the Kafka Spark Connector seamlessly pulls Kafka topic data from StreamNative Cloud into Databricks, enabling:
Instant access
to real-time Kafka streams in Databricks.
High performance
data transformations and analytics.
Get started streaming data to Snowflake with StreamNative
Enjoy $200 free credit to start
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February 3, 2025
15 min

Seamless Streaming to Lakehouse: Unveiling StreamNative Cloud's Integration with Databricks Unity Catalog

Data Lakehouse
Ursa
Databricks
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May 14, 2024

Unlocking Lakehouse Storage Potential : Seamless Data Ingestion from StreamNative to Databricks

Pulsar
Kafka
Ursa
Databricks
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