Amazon integration that reaches the systems other tools can't.
Connect Amazon Athena to every system + workflow it doesn't natively reach. Make your warehouse the operational core for live data, AI agents + apps.
+
Live demo · Claude querying Amazon + ops via Rayven MCP
Trusted by 240+ teams across Australia + globally
Amazon is brilliant at what it does. Useless at everything else your data needs to touch.
Athena's serverless model is brilliant - no infra to size, query S3 directly - but bytes-scanned pricing means every careless query costs more. Custom apps proxy queries through Lambda to add caching + RBAC. AI agents that scan a year of partitions burn $$$. Federated queries via Lambda add cold-start latency. Lake Formation governance lives inside the AWS estate; outside it, downstream systems strip masks.
The integration tool you've already tried probably can't fix it.
SaaS-to-SaaS. Useful, until it isn't.
Connectors for Amazon, Slack + a thousand other SaaS apps. Cheap + fast for the easy half of integration. Where they hit a wall:
- CRM, ERP + ops apps reading Athena via brittle scheduled CTAS jobs
- Real-time data routing into Athena's S3 source via Firehose + Iceberg streaming ingest
- [Amazon Redshift](/solutions/data-integration-platform/data-warehouse-integration/amazon-redshift-integration) federation for queries that span open S3 data + Redshift cluster tables
- AI agents querying Athena live through MCP rather than batched workgroup-scheduled SQL
- Customer-facing apps + portals backed by Athena with bytes-scanned-aware caching
Ops, apps, agents, BI + AI. One platform.
The integration platform built for what other tools can't (or won't) reach - plus an AI data fabric, MCP server + app builder layered on top. Australian-priced.
- Amazon + every CRM, ERP + operational system
- Streaming, CDC, files, APIs + custom-built connectors.
- Files, legacy SQL, FTP + custom-built connectors
- Real-time bidirectional sync, tier-aware + rate-limit-safe
- AI Data Fabric, MCP, automation + custom apps included
Amazon + Rayven: AI, automation + tools that reach every system you run.
6 examples of what Rayven customers run on Amazon + integrated systems. Built in weeks, not months.
Real-time ingest via Firehose + Iceberg
Operational events from Salesforce + custom OLTP stream through Kinesis Data Firehose into Apache Iceberg tables on S3. Athena queries them sub-second with full ACID semantics, no CTAS rewrite.
Reverse ETL with bytes-scanned controls
Athena query results push to HubSpot CRM, NetSuite ERP + custom ops apps the moment a workgroup query lands. Partition pruning + cached results so bytes-scanned cost stays predictable.
Claude queries Athena live via Rayven MCP
Claude + your AI agents query live S3-backed datasets through Rayven MCP. Lake Formation row + column-level access policies travel through the connection - bytes-scanned governance + cost controls preserved.
Athena + Redshift federation
Open S3 data via Athena + cluster tables via Amazon Redshift (same AWS parent) join in a single query plane. Athena Federated Queries via Lambda extend to non-AWS sources alongside.
Customer-facing apps on Athena
Portals + embedded analytics on top of Athena via Rayven's app layer. Bytes-scanned-aware caching, RBAC + per-tenant filters all handled - workgroup cost budgets respected end-to-end.
Open-format S3 + real-time ops in one view
Athena queries on S3 / Iceberg / Hudi / Delta join with Rayven's real-time IoT + transactional stream in a single dashboard. Years of S3 history + sub-second ops context together.
Integration is the start with Rayven.
Here's what comes with it.
Rayven isn't just a Amazon connector. It's the operational software platform underneath - so once Amazon is connected, four more capabilities come online by default.
AI-ready data layer (AI Data Fabric)
Amazon data joined with ERP, IoT + legacy - contextualised, unified + structured so AI models, agents + tools can use it without ETL prep work.
Learn more →
Live AI access (Rayven MCP)
Claude, ChatGPT + Gemini get live, governed access to Amazon + every other connected system. Your AI stops guessing - cites real Amazon records + numbers.
Learn more →
Automation + AI agents
Workflows + AI agents act on Amazon data without human intervention - escalate at-risk accounts, trigger operational work, auto-update forecasts, draft customer comms.
Learn more →
Custom apps + portals
Unified customer portals, ops dashboards, mobile field apps, partner portals - built on top of integrated Amazon data. No separate BI tool, no separate dev stack.
Learn more →
All on top of your existing stack. No rip + replace. Amazon stays Amazon. Rayven works on what you've already built. Specifically tuned for Athena bytes-scanned-aware routing + Iceberg / Hudi / Delta metadata preservation.
Rayven is a five-layer platform ALL your integrations + much more
can run on.
Integration is one layer of Rayven. Data, execution, presentation + governance are the other four - all delivered as one platform on one commercial.
Pick the right tool for your stack.
Amazon integration looks different at every scale. Honest comparison of the four common paths - Rayven only wins on some of them.
The integration is the easy bit.
The platform + team behind it is the difference.
Platform + team. One commercial.
Not five vendors stitched together. Rayven is the platform AND the Australia-based expert team that scopes, builds + supports it. One commercial. No licence stacking, no finger-pointing.
Built for Athena's serverless query-on-S3 model.
Rayven uses Firehose + Iceberg for sub-second ingest into S3, Athena REST API + JDBC for query, with bytes-scanned-aware routing. Lake Formation row + column policies + workgroup cost controls travel through every flow via the REST endpoint + IAM schema.
We stay after go-live.
No handoff. No disappearing. Rayven is a long-term partner when your Amazon evolves, your stack changes, or you push further. 24/7 support. Same team, same platform, same commercial.
Hosted your way, where you need.
Deploy as cloud, private cloud + on-premise - in Australia, the US, the UK, or anywhere else your Amazon data needs to live. Your residency, your rules, your local compliance environment.
The questions Amazon admins, RevOps + IT ask first.
If you're evaluating Rayven for Amazon integration, these are the things worth knowing before booking a call.
The 30-minute call covers
- Your Amazon + connected stack today
- What's reachable + which systems to bring in first
- Live walkthrough of Rayven against your scenario
- Time, scope + delivery estimate
- Honest read on whether Rayven's the right fit
What is Amazon Athena integration?
Amazon Athena integration is the practice of connecting Athena to the rest of your business stack - CRM, ERP, customer-facing apps + AI agents - so query-on-S3 data is usable everywhere it matters. Rayven delivers Athena integration as part of an AI data fabric, not a CTAS extract.
How does Rayven connect Athena to other systems?
Rayven uses Athena's REST API (StartQueryExecution, GetQueryResults), JDBC/ODBC drivers, Athena Federated Queries via Lambda + Lake Formation APIs for governance. IAM authentication + per-workgroup credentials handled per request. See the Rayven Platform for the integration + data layers.
What systems can Rayven connect Amazon Athena to?
Rayven connects Athena to 600+ systems including Amazon Redshift (same AWS parent), Salesforce, HubSpot CRM, NetSuite ERP, Apache Iceberg, Hudi + Delta tables on S3 - plus AI agents via Rayven MCP.
How does Rayven handle Athena bytes-scanned pricing?
Rayven's routing layer is bytes-scanned-aware. Operational reads route to cached results or partition-pruned queries; analytical workloads use their own workgroup with separate cost limits. Iceberg + Hudi metadata respected so partition pruning stays effective. See the data layer.
Does Athena have a native API? Why does Rayven add value on top?
Yes - Athena ships REST API, JDBC/ODBC, Federated Queries + Lake Formation integration. Rayven adds value because production sync needs more than a connector: bytes-scanned-aware routing, Iceberg metadata respect, MCP-grade AI access + the apps + portal layers on top. Read more in how Rayven works.
What are the most common Athena integration use cases?
Top use cases are Firehose + Iceberg ingest, reverse ETL to CRM + ERP, Claude querying Athena via MCP, Athena-Redshift federation + customer-facing apps. See the automations above for specifics.
What are the technical specifics of Amazon Athena integration with Rayven?
Rayven uses Amazon Athena's REST API (StartQueryExecution, GetQueryResults, NamedQueries), JDBC/ODBC drivers + Athena Federated Queries via Lambda for real-time bidirectional sync, authenticated via IAM roles + per-workgroup credentials. Kinesis Data Firehose + Apache Iceberg table format drive sub-second ingest into S3 with full ACID semantics; Athena reads them as managed tables via AWS Glue Data Catalog. Bytes-scanned-aware query routing means operational reads route to partition-pruned + cached results while analytical workloads use a separate workgroup with its own cost budget. Lake Formation row + column-level access policies + workgroup cost controls travel through every flow into CRM, ERP, AI agents + custom apps. Same-parent Amazon Redshift federation handles when query patterns cross open S3 data + cluster tables. Federated Queries via Lambda extend to non-AWS sources. Claude + your AI agents query Athena through Rayven MCP. Validated against on-demand + provisioned-capacity Athena + the Rayven Platform.
Amazon + AI integration.
In weeks, not months.
Book a 30-minute call. Walk away with a tailored plan - what's reachable, what to bring in first, time + scope.