Multicloud AI & ERP / Cloud Data, Analytics & BI for AI
About
The cloud data layer behind every ERP and AI system: relational, NoSQL, in-memory, graph, time-series and vector databases, warehouses and lakehouses, streaming and ETL, governance and lineage, then business intelligence, data clean rooms, log analytics and bulk data transfer to the cloud.
How NTS helps
NTS builds the cloud data platform your ERP, reporting and AI depend on: the right database for each workload, a governed lakehouse or warehouse, reliable pipelines and dashboards that business users actually trust.
Each diagram compares how AWS, Azure and Google Cloud handle the same problem. Select Read more for the full diagram and write-up.
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Relational DatabasesManaged SQL, from single region to global scale
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NoSQL: Key-Value & DocumentMillisecond reads at any scale
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In-Memory CachingFaster apps and lighter databases
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Graph & Time-Series DataWhen relationships or time are the question
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Vector Databases & SearchThe memory layer behind AI search and RAG
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Data WarehousesAnalytics at scale, storage separate from compute
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Data Lakes & LakehousesOpen tables on cheap storage, queried by any engine
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Streaming & MessagingEvents in motion, processed in seconds
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ETL & OrchestrationReliable pipelines from source to insight
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Data Governance, Catalog & LineageKnow what data you have, who uses it, where it came from
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Business IntelligenceGoverned numbers everyone can ask about
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Data Sharing & Clean RoomsAnalyze together without exposing raw records
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Search & Log AnalyticsSearchable logs that do not break the budget
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Bulk Data TransferMoving terabytes to petabytes into the cloud
Need one of these on your cloud?
NTS designs, migrates and runs these architectures on AWS, Azure and Google Cloud. Most engagements start with a 30-minute architecture review.
- Phone
- 469-469-1965