Sold by: Quix Analytics Limited
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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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 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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Stream Processing Engine
Pure Python-based stream processing engine with no wrappers or JVM dependencies, supporting streaming DataFrames for real-time data processing
Data Integration Capabilities
Direct connectivity to existing Kafka clusters and integration with popular streaming technologies including AWS Kinesis and databases
Infrastructure Management
Configuration-as-code approach with git-based single source of truth, visual DAG editor, and support for bring-your-own Kafka deployments
Operational Monitoring and Security
Built-in monitoring capabilities and integrated secrets management for secure credential handling
Template Library and Extensibility
Open source template library with pre-built components and best practices for accelerating development and enabling community contributions
Stream Processing Engine
Apache Flink serverless service for real-time data filtering, joining, and enrichment without operational overhead
Data Connectors
120+ pre-built source and sink connectors for integration with AWS services including Amazon S3, Amazon Redshift, Amazon RDS, Amazon DynamoDB, and AWS Lambda
Real-Time Analytics
Apache Iceberg table conversion from Kafka topics to enable downstream analytics across AWS services including Glue, Redshift, Athena, EMR, and SageMaker Lakehouse
Availability and Reliability
99.99% uptime SLA coverage for core Kafka operations with enterprise-grade support and high availability infrastructure
Cloud-Native Architecture
Fully managed, elastic, and auto-scaling clusters built on Apache Kafka and Confluent's cloud-native Kafka engine, Kora, with serverless stream processing capabilities
Stream Processing Engine
Apache Flink-powered platform for real-time analytics and materialized views using SQL
Data Connectivity
Support for multiple streaming data sources including Amazon Kinesis and Apache Kafka with unified streaming catalog organization
Access Control
Role-based access control (RBAC) for authorization of streaming data access without manual ACL management
Streaming ETL Capabilities
Transform, enrich, and aggregate event streams through streaming data pipelines and materialized views
Deployment Options
Serverless architecture with flexibility to deploy in customer VPC or use cloud service without cluster provisioning
Validated by AWS Marketplace
FedRAMP
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ISO/IEC 27001
PCI DSS
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