Sold by: StreamNative Cloud
Unlock the power of data messaging and streaming with StreamNative Cloud on-demand, powered by Apache Kafka® & Apache Pulsar™
Overview
StreamNative is a leading provider of real-time streaming data solutions, specializing in Apache Pulsar, an open-source distributed messaging and streaming platform. Founded by core developers of Apache Pulsar, StreamNative offers a comprehensive suite of products and services that help organizations harness the power of data streams for scalable, low-latency data processing. StreamNative Cloud, the company flagship product, provides a fully managed Pulsar service, enabling businesses to deploy, monitor, and scale streaming applications across any cloud environment. With a focus on flexibility, reliability, and seamless integration, StreamNative also supports Kafka compatibility through its Kafka On StreamNative (KSN) offering, allowing enterprises to bridge the gap between Pulsar and Kafka ecosystems. StreamNative platform powers diverse use cases, from real-time analytics and machine learning pipelines to log management and event-driven architectures. Notably, StreamNative integrates with various AWS services to enable seamless data streaming and processing in the cloud. For example, StreamNative connectors facilitate data ingestion into Amazon S3 for scalable storage, while integration with Amazon Kinesis and AWS Lambda supports real-time analytics and event-driven applications. Additionally, StreamNative Lakehouse Storage support integrates out of the box with AWS S3, enabling users to offload data in both Apache Iceberg and Delta Lake formats for real-time analytics, advanced querying, and compatibility with modern data lake architectures. StreamNative also supports UniLink, a powerful tool that leverages AWS S3 to efficiently replicate data between clusters, ensuring high availability and disaster recovery. By offering tools like the S3 Sink Connector, Pulsar Functions, and managed Pulsar clusters on AWS, StreamNative enables developers to build scalable, efficient, and future-proof data applications across industries such as finance, retail, and IoT.
To learn more about StreamNative Cloud, visit: https://streamnative.io/product
Highlights
- Enjoy the low latency, high durability, and long-term data retention provided by Apache Pulsar, along with seamless Kafka compatibility, without the operational overhead, using cost-effective, enterprise-ready clusters.
- Support both messaging and streaming use cases in your architecture. Build event-driven applications and gain value from your data in real time with features like Pulsar Functions. A rich client library ecosystem includes support C/C++, Python Java, GO, JavaScript, Rust, and more
- Confidently implement data streaming with a managed service backed by the original creators of Apache Pulsar. Clusters are always on the latest stable Pulsar version with enterprise-grade SLAs, on-demand bug fixes, and technical support
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Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/unit |
|---|---|
Consumption of resources, such as computing, storage, network etc | $0.10 |
Dimensions summary
This listing uses a single pay-as-you-go dimension. You pay for the resources you consume, including compute, storage, and network. There is no upfront commitment or fixed quantity to select. Your cost scales with actual usage, so it rises and falls with your workload. Billing accrues based on consumption and is invoiced through AWS Marketplace. This model suits variable or growing workloads, since you only pay for what you use rather than reserving capacity in advance.
Top-of-mind questions for buyers
You pay for actual usage measured by throughput and retention, not by broker or cluster counts. This includes the data you write, the data you read, and how long you keep it. Related compute, storage, and network resources also meter as you use them, billed hourly and invoiced monthly.
The elastic architecture scales automatically to handle throughput beyond your baseline, and you pay for the actual usage. There are no hard cutoffs that drop messages. Since billing follows consumption, your cost rises with the added throughput and falls again when demand drops.
Usage is metered hourly. For throughput-based billing, you are charged by the highest of ingress, egress, or data-entries in each hour. Additional charges apply for data read, data write, and storage retention. Charges accrue hourly and combine into a single monthly invoice through AWS Marketplace.
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For billing/refund questions, please open a ticket at https://support.streamnative.io
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Distributed Messaging and Streaming Platform
Apache Pulsar-based distributed messaging and streaming platform supporting low-latency, high-durability data processing with long-term data retention capabilities
Multi-Protocol Support
Kafka compatibility through Kafka On StreamNative (KSN) offering, enabling interoperability between Pulsar and Kafka ecosystems
Serverless Functions and Event Processing
Pulsar Functions for building event-driven applications and real-time data processing with support for multiple programming languages including C/C++, Python, Java, Go, JavaScript, and Rust
Cloud Storage Integration
Native integration with AWS S3 for data offloading in Apache Iceberg and Delta Lake formats, S3 Sink Connector for data ingestion, and UniLink for cross-cluster data replication
Managed Service with Enterprise Support
Fully managed Pulsar clusters maintained on latest stable versions with enterprise-grade SLAs, on-demand bug fixes, and technical support from original Apache Pulsar creators
Stream Processing Engine
Apache Flink serverless service for real-time data filtering, joining, and enrichment without operational overhead
Data Integration Connectors
120+ pre-built source and sink connectors for AWS services including Amazon S3, Amazon Redshift, Amazon RDS, Amazon DynamoDB, and AWS Lambda
Real-Time Analytics Platform
Apache Iceberg integration to convert Kafka topics into tables for downstream analytics across AWS Glue, Redshift, Athena, EMR, and SageMaker Lakehouse
Service Availability
99.99% uptime SLA coverage for core Kafka operations with enterprise-grade support and faster issue resolution
Cloud-Native Architecture
Fully managed, elastic, and auto-scaling Kafka clusters built on Apache Kafka and Confluent's cloud-native Kora engine
Kafka API Compatibility
Full Apache Kafka API compatibility enabling seamless integration with existing Kafka-based applications and tools
Managed Connectors
300+ built-in connectors to popular data systems including Snowflake, MongoDB, Amazon S3, SQS, SNS, Kinesis, Lambda, Bedrock, DynamoDB, and CDC for MySQL and PostgreSQL on RDS
Tiered Storage Architecture
Automatic tiered storage that rolls data from brokers to object storage, delivering up to 8-9x savings in long-term data retention costs
Deployment Flexibility
Multiple deployment options including Bring-Your-Own-Cloud (BYOC), Dedicated, and Serverless cloud products with zero-downtime upgrades and patching
Service Reliability
Uptime SLA of 99.99% for Dedicated deployments and 99.9% for Serverless deployments with automatic cluster balancing and built-in monitoring
Validated by AWS Marketplace
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