Sold by: Quix Analytics LimitedÂ
Quix lets you process data in stream easily with Python and streaming DataFrames. Connect the Quix stream processing engine directly to your existing Kafka cluster, or integrate with popular streaming technologies like AWS Kinesis in the Quix Cloud.
Overview
Quix Cloud allows you to develop, deploy, manage and scale your stream processing applications via simple, streamlined workflows. Key features include:
- Pure python (no wrappers, no JVM)
- Streaming DataFrames
- Configuration-as-code (single source of truth with git)
- Out of the box monitoring
- Built-in secrets management
- Visual DAG editor
- Extendable open source template library to help you get started and share best practices
- BYO Kafka or integrate with popular databases and streaming technologies
Quix Cloud - Dedicated provides you with an isolated environment. The minimum cluster size is 2 nodes. Each node includes 136GB of data ingress, egress, Kafka storage and data storage.
Please contact support@quix.io if you have any questions or would like to discuss your requirements in more detail.
Highlights
- Leverage the full Python ecosystem and streaming DataFrames to build real-time apps
- Develop, deploy, manage and scale your stream processing applications via simple, streamlined workflows
- Connect to an existing Kafka or popular databases and streaming technologies
Details
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Delivery method
Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
2 Nodes | 2 node cluster with Basic support | $3,363.84 |
Vendor refund policy
In accordance with the Quix Standard Contract
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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By Quix Analytics Limited
By DeltaStream: Powered by Apache Flink
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AI generated from product descriptions
Stream Processing Framework
Pure Python-based stream processing engine with native support for streaming DataFrames without Java Virtual Machine dependencies
Infrastructure Configuration
Configuration-as-code approach with single source of truth using Git version control integration
Data Processing Capabilities
Supports direct connection to Kafka clusters and integration with popular streaming technologies like AWS Kinesis
Development Environment
Visual Directed Acyclic Graph (DAG) editor for designing and visualizing stream processing workflows
Operational Management
Built-in monitoring and secrets management capabilities for stream processing applications
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
Stream Processing Framework
Advanced stream processing platform powered by Apache Flink for real-time data analytics
Data Catalog Management
Unified streaming catalog connecting multiple data sources like Kinesis and Kafka with organized data views
Access Control
Role-based access control (RBAC) for authorizing and managing streaming data access without manual ACL management
Streaming ETL Capabilities
Real-time data transformation, enrichment, and aggregation of event streams with streaming data pipeline support
Serverless Architecture
Automatic infrastructure management without manual cluster provisioning, enabling direct connection to streaming data stores
Validated by AWS Marketplace
FedRAMP
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