Platform Home > Data Layer > Data Management
Data management.
A unified, real-time data management layer - no data warehouse, no data lake, no middleware between your data + the people who need it.
CAPABILITY OVERVIEW
All your data, managed in one place.
Rayven's data management capabilities give you complete visibility and control over all data flowing through the platform.
Inspect payload history at any workflow node, configure data retention policies, monitor stream quality in real-time + export raw data on demand. Every data point is stored, secured + accessible - without the cost and complexity of separate data warehousing infrastructure.
No ETL processes, no intermediary storage, no additional tooling.
Inbound triggers include:
Real-time data streams from any integration
File uploads + batch ingestion
Form submissions + manual entry
Workflow-generated data
API-ingested event data
KEY CAPABILITIES
What Data Management gives you.
Data Repository node
Configure data retention settings per workflow, controlling how long data is stored in Cassandra. Set uniqueness constraints by UID + timestamp to prevent duplicate records. Retention policies apply per node - giving granular lifecycle control across the platform.
Inspect Data tab
A per-node payload viewer showing exactly what data passed through each workflow step. Filter by UID, date range + content. Essential for troubleshooting, auditing + verifying data quality at any point in the processing chain.
Node Export
Download raw data for any workflow node over any selected time range. Returns the full payload as it existed at that node - no transformation applied. Used for compliance exports, data analysis + feeding external systems with raw operational data.
Real-time quality monitoring
Monitor data streams using custom logic and dashboards. Detect data gaps, anomalies + stream failures in real-time using the Detect Outage node + Rule Builder. Configure alerts to fire immediately when a source goes silent or returns unexpected values.
Tag + Label management
Tag incoming data streams with Labels to apply structure, context + access control as data enters the platform. Labels enable grouping by site, region or customer - used across workflows, dashboards + API endpoints to filter and segment data.
No data warehouse required
Rayven's hybrid SQL + Cassandra architecture replaces the need for a separate data warehouse or data lake. All data - structured records, time-series events + workflow payloads - is stored, queryable + accessible in real-time from one platform.
HOW IT CONNECTS: EXPLAINER
Where Data Management fits in the Rayven Platform stack.
Data management sits at the centre of the Data Layer, providing the control plane for all data stored across the platform.
-
Data enters via the Integration Layer from any source. The Data Management layer governs retention, quality monitoring + access to that data.
-
The Execution Layer reads managed data to power workflow logic + AI processing.
-
The Presentation Layer surfaces managed data in dashboards, reports + interfaces.
-
External systems access managed data via API endpoints on-demand.
USE CASES
How Data Management gets used.
Compliance data retention for a regulated industry
A utilities company configures retention policies per workflow node - operational telemetry retained for 90 days, compliance event logs for seven years. Node Export provides auditable, timestamped raw data extracts on demand. No separate compliance database required.
Real-time data quality monitoring for a retail operation
A retail chain monitors 200 store data feeds using Detect Outage nodes per feed. If any store's data stops arriving, an alert fires to the operations team within the detection window. Dashboard widgets surface data quality status per store in real-time.
Partner managing data lifecycle across multiple clients
An MSP configures per-client retention policies within a shared Rayven instance. Label-based segmentation keeps each client's data isolated. Node Export provides per-client data extracts when required. One platform, client-specific governance, no separate infrastructure per client.
Rayven Data Management FAQs:
Yes. Rayven's hybrid MySQL + Cassandra storage handles structured relational records and time-series event data in the same platform. Data is queryable in real time, available to dashboards and API endpoints - without a separate data warehouse, data lake or ETL pipeline.
Retention is configured via the Data Repository node in each workflow. Settings control how long data is kept in Cassandra, uniqueness constraints per UID + timestamp, and what happens when capacity thresholds are reached. Policies apply per node.
It shows the exact payload that passed through a specific workflow node at a specific time. Filterable by UID, date range + content. Used for debugging, auditing, data quality verification + tracing how a value changed as it moved through a workflow chain.
Node Export downloads the full raw payload for any workflow node over any selected time range. For automated exports, use Output to FTP or Output to HTTP (webhook) nodes to push data to external destinations on a schedule or event trigger.
Yes. The Detect Outage node monitors a data stream and fires a configured alert (email, SMS, webhook) if data stops arriving within a defined detection window. Configurable recovery detection fires when the stream resumes.
All data is encrypted at rest using AES-256. Data in transit is encrypted via 256-bit SSL. Access is governed by role-based permissions + Label-based data segmentation. Data is stored in a private instance - not shared across customer deployments.
Yes. Custom logic in the Execution Layer evaluates incoming data against quality rules - detecting missing values, out-of-range readings + schema mismatches. Alerts fire immediately via email, SMS or webhook when quality conditions are breached.
You do. Rayven does not share, sell or use customer data for any purpose other than operating the platform on your behalf. Data is stored in your private instance and accessible only by users with appropriate permissions.
Yes. Retention policies can be configured to automatically expire data after a defined period. Data can also be manually deleted via platform administration. Contact us for guidance on deletion procedures for compliance requirements.
Yes. Rayven's Integration Layer covers legacy system connectivity via custom integrations, the Dynamic Integration Node + custom scripts. Once ingested, legacy data is managed identically to data from modern systems.
/Website%202026/Industries%202026/Engineering/Engineering-Leader-vertical%20WebP.webp?width=388&height=552&name=Engineering-Leader-vertical%20WebP.webp "Engineering-Leader-vertical WebP")
Also in the Data Layer:
Unified Data Tables
Structured Primary + Secondary Tables for entity records, metadata + relational data alongside Cassandra time-series.
Data Management
Configure retention policies, inspect workflow payloads, export raw data + manage data lifecycle across the platform.
Data Transformation
JavaScript, Advanced Function + Combine Data nodes for schema mapping, enrichment + normalisation within workflow processing chains.
File Parsing
Ingest + parse files from FTP, S3 + manual uploads into structured, real-time data available to workflows and AI models.
Calculation + Aggregation
Sum, average, count + aggregate across UID or Label over any defined time window - at the point of processing.
AI Models + Training
Train Python ML models on Cassandra time-series data + deploy predictions as real-time workflow steps.
SQL + Cassandra Data Storage
Hybrid storage architecture - MySQL for relational records, Cassandra for time-series + event data.
Join the Shift
Discover the easy way to do something new.
Book a demo with our team and we'll show you exactly how Rayven can work for your environment.