Structured Data Table Editing.
SQL + Cassandra in one table? Yes. Easy.
Streamline your data pipelines and create a complete table - alongside advanced table editing, bulk uploads, real-time updates + seamless integration. It's powerful.
Structured, streaming + smart: one table to rule them all.
Our platform gives you everything you need to ingest, organise and act on real-time data - fast. Bulk streams, uploads, schema edits, logic rules - it’s all built-in, no code needed.
Automate updates, apply logic, filter dynamically, and create advanced views in seconds. With our hybrid SQL-Cassandra architecture under the hood, you can handle structured and streaming data in one place - accurately, scalably, and at speed.
Seamless Data Ingestion in All Formats.
Quickly ingest + transform data via APIs, connectors, CSV uploads + more; integrating it directly into tables. Get SQL + Cassandra in 1 table.
Dynamic Table Editing + Bulk Updates.
Easily edit schemas, update records + apply bulk changes in real-time. Keep your data organised without the need for complex SQL.
Automated Workflows + Real-Time Updates.
Automate table updates and logic using Rayven’s workflow engine. Trigger real-time changes, perform calculations + ensure your data stays accurate.
Advanced Labelling + Filtering.
Organise data dynamically with flexible labelling and filtering. Create tailored views, run calculations + feed insights into dashboards.
Rayven has free + low-cost options, making it affordable for every business.
SQL + Cassandra: one table, no compromises.
Forget clunky workarounds. We’ve engineered a hybrid 3D data architecture that lets you run SQL and Cassandra in the same table - seamlessly. Structured logic meets real-time scale, without the glue code or performance trade-offs.
Why it matters:
- Stream + schema, unified: Handle time-series, events, and structured data in a single table. No ETL, no silos, no lag.
- Query both past + present: Run SQL queries across real-time and historical data—without duplicating, syncing, or waiting.
- Zero bottlenecks at scale: Cassandra’s proven horizontal scalability means high-throughput, always-on performance, no matter how messy or fast.
- Smarter data science: With real-time and historical data co-located, your ML models train faster, adapt better, and predict more accurately.
This isn’t a patched-up architecture. It’s native, flexible, and built to support everything from dashboards to decisioning engines - on the same layer.
The full power of Rayven’s Structured Data + Table Editing capabilities: power real-time, scalable + intelligent apps.
Rayven’s Structured Data Table Workbench simplifies the way you manage your data. Create, edit + organise entity tables effortlessly, so that you can define attributes, relationships + schema changes in just a few clicks.
Bulk editing and real-time updates ensure that managing even the most complex datasets becomes a streamlined process. This user-friendly approach eliminates the need for excessive coding, empowering your team to focus on insights and outcomes rather than data organisation.
Ingesting large volumes of data has never been easier. With Rayven, you can bulk upload structured data from any source using APIs, pre-built connectors, or simple CSV, PDF and other files.
This capability removes manual data entry bottlenecks, reduces errors + accelerates workflows; ensuring your information is always up-to-date and ready for use. With automated mapping and real-time integration, Rayven transforms raw datasets into actionable insights instantly.
Discover Rayven's Ready-to-go Connectors, Custom Integration and/or File Upload capabilities.
Rayven’s workflow engine enables real-time table updates driven by triggers and logic.
Whether pulling in external data, applying transformations or running calculations, Rayven ensures your tables stay accurate and reflective of the latest inputs. Automating these processes removes the risk of manual errors, saves time + ensures your data is always actionable, empowering smarter decision-making across teams.
Rayven’s labelling and filtering tools give you the flexibility to organise and analyse your data the way you need. Assign dynamic labels to group data, create tailored views, or filter records based on specific parameters.
These capabilities make it simple to slice and dice data for advanced analysis, unlocking deeper insights and enabling faster, more targeted decision-making without the need for complex queries.
While Rayven’s interface is low-code and intuitive, it also offers full SQL access for users who require deeper customisation.
Write advanced queries, manipulate data directly + connect seamlessly with other systems via APIs. This developer-friendly approach ensures you retain complete control while benefiting from Rayven’s streamlined interface, making it perfect for both technical and non-technical users alike.
Rayven connects your structured data tables with workflows, automation + dashboards for a complete end-to-end solution.
Automatically feed table data into visualizations, reporting tools, or external systems in real-time. By linking your data to actionable outcomes, Rayven ensures you’re always leveraging the full potential of your structured data to drive business results.
Explore Rayven's Workflow + Triggers capabilities.
Rayven’s platform grows with you. Whether you’re managing a single dataset or a vast collection of complex tables, Rayven’s scalability ensures consistent performance and reliability.
Handle increasing volumes of structured data without disruptions, while maintaining the flexibility to add new attributes, relationships, or data sources as your needs evolve.
Rayven’s robust infrastructure ensures you’ll never outgrow our platform's capabilities.
The benefits of Rayven's approach vs. others.
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Rayven | Traditional Platforms | Competitors |
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SQL + Cassandra in 1 table
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Yes, native + real-time. | No. | No. |
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Bulk Data Uploads
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API, CSV + connector-driven. | CSV or manual entry only. | Limited API support. |
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Dynamic Table Updates
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Triggered by workflow logic in real-time. | Manual updates required. | Basic rule-based updates. |
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Workflow Integration
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Fully integrated ETL with auto-updates. | Requires external ETL tools. | Limited ETL functionality. |
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Hybrid Data Management
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Structured + unstructured data in one platform. | Structured only. | Limited support for unstructured data. |
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Real-Time Processing
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Continuous updates across all workflows. | Batch processing. | Limited real-time capabilities. |
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Advanced Visualization
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50+ customisable widgets for dashboards. | Predefined templates. | Basic widgets only. |
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Developer Access
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SQL queries, API extensibility + low-code tools. | Limited access. | Minimal customisation options. |
Effortless structured data ingestion + organisation
Real-time table updates with workflow automation
Dynamic labelling for custom views + insights
Scalable, developer-friendly tools with SQL + Cassandra access
Rayven Structured Data Table FAQs:
A governed, real-time way to create, view, filter, edit, and version tabular data (SQL-backed), with validation and approvals.
Yes - types, ranges, regex, lookups, referential checks, unique keys, and custom policies before writes are committed.
Absolutely—draft → review → approve flows, role-based permissions, full history, diffs, and revert/rollback.
Yes - joins to Rayven tables, materialised views, and lookups to external systems; cache + refresh controls included.
Yes - CSV/Excel upload, de-dupe, mapping, preview, and batched commits with error reporting and partial retries.
Optimistic/pessimistic locking, row versioning, conflict detection/resolution helpers, and idempotency keys.
Yes - post-commit hooks can call APIs, push webhooks, update downstream systems, or kick off automations/AI.
SaaS, private cloud, on-premise, or Edge - same controls, same governance.