Rayven MySQL + Cassandra Database
Cassandra + MySQL: Rayven delivers a unified, real-time approach to data storage.
Rayven harnesses the power of Cassandra for unstructured data and MySQL for structured data, offering seamless integration in a hybrid database. Address real-time app + big data challenges at-once.
Effortlessly combine MySQL + Cassandra databases via Rayven to transform your data architecture.
The Rayven Platform simplifies managing structured and unstructured data, unlocking real-time analysis capabilities.
By combining Cassandra, a NoSQL database for unstructured and time-series data, with MySQL for structured data; our dual-database architecture enables seamless data handling, scalability + the performance needed for modern real-time apps.
Whether managing massive datasets or real-time operations, our hybrid approach processes all your data effectively to deliver unmatched flexibility, scalability + cost efficiencies.

Scalability + Real-Time Performance.
Easily scale real-time and time-series data needs using Cassandra’s horizontal architecture, while leveraging MySQL’s structured precision.
Flexibility Across Data Types.
Rayven can manage raw sensor data, documents + time-series data alongside structured tables or any other data source; unifying, simply.
Cost-Effective, High-Throughput Ops.
Rayven's built to minimise data management costs at-scale without sacrificing performance, ensuring efficient handling of massive datasets.
Future-Ready Architecture.
Designed to handle AI, IoT + Big Data apps, Rayven is ultra-flexible and build to be able to adapt and grow with your business' evolving needs.
Rayven has free + low-cost options, making it affordable for every business.
Rayven's unrivalled database capabilities: powering real-time, scalable + intelligent apps.
Rayven’s use of a Cassandra database enables true real-time data processing, a critical feature for modern apps requiring immediate insights and responses.
Cassandra’s distributed, NoSQL architecture is optimised for time-series data, ensuring that vast streams of information - such as IoT sensor data or operational metrics - are ingested, processed + analysed instantly. This real-time capability is what powers Rayven’s advanced workflow automation, operational automation + live decision-making tools.
Unlike platforms relying solely on traditional SQL databases, Rayven ensures your apps are always one step ahead, unlocking faster insights and enabling smarter, more responsive systems.
By combining Cassandra for unstructured data with MySQL for structured data, Rayven delivers a versatile, unified data solution.
This dual-database architecture lets you manage diverse data types raw sensor data, time-series metrics, files (via parsing), and relational tables - without compromise. The result? A platform capable of handling everything from IoT telemetry to compliance records with ease.
This versatility simplifies data management and ensures that no data silo stands in the way of innovation. Whether your business demands flexibility or precision, Rayven’s seamless integration meets your needs.
Explore Rayven's Ready-to-Deploy Connectors and/or Custom Integration capabilities.
Rayven ensures infinite horizontal scalability, enabling you to handle terabytes or even petabytes of data effortlessly in the moment. As your data needs grow, our platform expands to meet your needs without performance bottlenecks or costly overhauls.
MySQL complements this by delivering structured data precision for business logic and reporting, ensuring no compromise in performance or functionality.
Whether you’re scaling IoT projects, expanding workflows, or building enterprise-level applications, Rayven’s database architecture grows with you, ensuring consistent speed and reliability.
Processing large datasets can be costly, but Rayven’s use of Cassandra for unstructured data ensures maximum efficiency.
Its distributed nature and high-throughput design minimise processing costs, making it ideal for handling massive data streams. This approach delivers cost savings without sacrificing performance or scalability, making it the perfect solution for businesses managing complex or large-scale applications.
Explore Rayven's Real-Time Data Processing capabilities.
Rayven's database and data analysis capabilities lay the foundation for Rayven’s advanced AI and Machine Learning features.
By analysing and processing data as it arrives, the platform supports real-time predictive analytics and Generative AI (GenAI) apps. This capability enables intelligent workflows, operational automation + instant optimisation recommendations.
Whether you’re seeking to reduce downtime, improve energy efficiency, or optimise processes; Rayven’s real-time database capabilities unlock the full potential of AI and ML in your applications.
Explore Rayven's Machine Learning and/or GenAI capabilities.
Rayven’s Cassandra database capabilities are built for handling time-series data, making it ideal for IoT, operational monitoring, or anything where latency is an issue.
Time-stamped data can be ingested, stored, and queried with unmatched speed and efficiency, enabling businesses to track changes, identify trends, and act on real-time insights
MySQL adds an extra layer of reliability for structured data needs, ensuring every piece of information is accessible and usable. This mastery over time-series data allows you to visualize, analyse + act in ways that transform operations.
Explore Rayven's Time Series Data Handling capabilities.
Rayven’s dual-database design is built to support not only today’s challenges but also the demands of tomorrow’s technologies.
Cassandra’s scalability and flexibility, combined with MySQL’s structured reliability, create a foundation that adapts as your business grows.
From IoT expansions to incorporating new AI-driven capabilities, Rayven’s architecture ensures your platform evolves with your needs. This future-proof approach protects your investment and empowers you to tackle any data-driven challenge that lies ahead.
The benefits of Rayven's approach vs. others.
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Rayven | Competitors |
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Database Architecture
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Dual (Cassandra + MySQL). | MySQL-only. |
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Time-Series Data Support
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Purpose-built with Cassandra for high performance. | Limited scalability and performance. |
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Real-Time Data Processing
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Native real-time capabilities. | Requires additional layers + subscriptions. |
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Big Data Handling
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Seamless scalability for terabytes/petabytes. | Limited by MySQL’s structure. |
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Unstructured Data Support
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Built-in Cassandra support for raw and document data. | Limited to structured data formats. |
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Cost Efficiency
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Optimised for large-scale, high-throughput operations. | Higher costs for big data processing. |
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Scalability
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Infinite horizontal scaling with Cassandra. | Limited vertical scaling. |
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Customisation for Applications
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Supports hybrid workflows across structured/unstructured data. | requires compromises in data handling. |
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Flexibility
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Combines the strengths of NoSQL and SQL. | Constrained by SQL-only frameworks. |
Real-time data processing + automation
Seamless structured + unstructured data management
Scalable, cost-effective Big Data + AI solutions
Enabling future-ready AI + Machine Learning adoption
Rayven Hybrid MySQL / Cassandra Database FAQs:
Rayven provides a managed Cassandra layer for high-ingest, time-series and unstructured workloads, paired with SQL tables for relational data.
It delivers horizontal scalability, high availability, and millisecond writes/reads—ideal for IoT telemetry, event streams, and operational analytics.
Rayven uses a hybrid model: SQL tables for relational queries, and Cassandra for time-series/unstructured data - both governed and queryable from one platform.
Yes, Rayven supports streaming ingestion, sub-second updates, windowing/aggregations, and real-time triggers for workflows and AI.
Schema design, partition keys, and TTL policies are handled via low-code configs, with guardrails for partition sizing and read/write patterns.
Encryption in transit/at rest, RBAC, workspace isolation, audit logs, secrets management, and policy-based retention are built in.
Yes - serve governed datasets to dashboards, APIs, agents, and ML/RAG pipelines; materialise views or expose read models via endpoints.
Rayven automates replication, node health, rebalancing, and compaction; supports multi-AZ/region topologies (subject to deployment model).
Yes, snapshotting, PITR strategies (deployment-dependent), and environment promotion are available via Rayven’s ops tooling.
SaaS, private cloud, on-premise, or Edge - with identical functionality and central governance.