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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Dimension | Cost/unit |
|---|---|
Consumption of resources, such as computing, storage, network etc | $0.10 |
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Distributed Messaging Platform
Open-source distributed messaging and streaming platform supporting multiple programming languages
Multi-Cloud Deployment
Fully managed service enabling deployment, monitoring, and scaling of streaming applications across cloud environments
Data Streaming Compatibility
Supports both Apache Pulsar and Kafka ecosystems with seamless integration capabilities
Data Storage Integration
Native integration with AWS S3 for scalable storage, supporting Apache Iceberg and Delta Lake formats
Real-Time Processing
Enables event-driven architectures with low-latency processing and support for Pulsar Functions
Stream Processing Framework
Native integration of Apache Flink for real-time data filtering, joining, and enrichment without operational overhead
Data Streaming Architecture
Cloud-native platform built on Apache Kafka, Apache Flink, and Apache Iceberg for event streaming and data processing
Connector Ecosystem
Supports 120+ pre-built connectors for seamless data integration with AWS services like S3, Redshift, DynamoDB, and Lambda
High Availability Infrastructure
Enterprise-grade service with 99.99% uptime SLA and autoscaling capabilities for resilient data streaming
Real-Time Analytics Transformation
Capability to convert Kafka topics to Apache Iceberg tables for downstream analytics across multiple AWS data services
Data Streaming Compatibility
Fully compatible with Kafka APIs, supporting extensive pre-built connectors for real-time data streaming
Cluster Management
Automated cluster operations including zero-downtime upgrades, data balancing, and partition management
Connector Ecosystem
Built-in fully managed connectors supporting integration with popular data systems like Snowflake, MongoDB, S3, MySQL, and PostgreSQL
Performance Optimization
Designed to maximize hardware performance potential, delivering high throughput and low latency streaming capabilities
Storage Management
Tiered storage architecture automatically migrates data from brokers to object storage for efficient long-term data retention
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