Enterprises today face a paradox: there have never been more tools to drive innovation, yet the complexity of connecting them continues to slow progress. As organizations adopt more apps, platforms, and data pipelines, they sometimes end up taking on the burden of custom connectors, incompatible formats, and siloed telemetry. The result? Rigid architectures that make it harder to automate, integrate, and innovate at scale.
But there’s a better path forward: a modern, composable approach built on open standards and reusable integration patterns. In a world where every enterprise is becoming an AI enterprise, composability isn’t just a nice-to-have — it’s foundational.
The case for standardization
In modern enterprise architectures, integration is everywhere. From ingesting telemetry to publishing analytics-ready data, the need to connect systems is constant. Yet many enterprises still rely on fragmented, vendor-specific approaches that create more problems than they solve.
Without standardization, every integration becomes a custom job. Teams build adapters to bridge incompatible systems, introduce overhead just to sync data, and struggle to maintain brittle pipelines over time. These efforts multiply with each new tool, increasing operational costs and slowing transformation.
SnapLogic flips this model by enabling organizations to embrace standard, open formats across the data lifecycle, without having to “rip and replace” their existing stack.
Real world example:
A Fortune 100 CPG company used SnapLogic to replace over 200 custom ETL scripts across their Salesforce and SAP landscape. By standardizing on reusable Snaps and open data formats, they reduced integration development time by 70% and improved pipeline reliability.
Embracing open standards in the composable enterprise
Building a composable infrastructure starts with a scalable integration platform. That’s why SnapLogic was purpose-built to support open protocols and interoperable tools from the ground up.
- OpenTelemetry (OTel): Empower teams to collect and analyze observability data using their tool of choice—whether that’s Grafana, Splunk, or a custom dashboard. SnapLogic plays well with all of them.
- OpenLineage: Provide traceability across data pipelines, helping teams understand where data came from, how it was transformed, and where it’s going—without locking them into proprietary tooling.
- Industry-standard connectors like OPC-UA, OEM, and EDI: Power hot data pipelines in manufacturing, logistics, and other industry-specific use cases that demand reliability and real-time data movement.
As one of my fellow engineers put it: “Bring your own dashboard. Bring your own tooling. We’ll meet you there.”
Real world example:
A global industrial automation company used SnapLogic’s OPC-UA support to stream factory floor telemetry into their Azure analytics lake. The result? A 50% reduction in downtime due to predictive insights from AI models trained on real-time sensor data.
Industry-centric, tech-friendly integration
Standardization doesn’t mean one-size-fits-all. Enterprises in different industries — and even different teams within the same business — have unique needs. What they need is a common foundation that still allows for domain-specific flexibility.
SnapLogic enables this by offering reusable, scalable components that solve complex integration challenges across sectors:
- In manufacturing, OPC-UA enables real-time equipment telemetry.
- In retail and logistics, EDI supports time-sensitive supply chain transactions.
- For data teams, OpenLineage provides a framework for transparency, governance, and AI-readiness.
These aren’t one-off solutions — they’re snap-together building blocks that fit into a broader composable architecture.
Real world example:
A leading U.S. apparel brand relied on SnapLogic’s EDI support to automate invoice processing between SAP and warehouse partners. This reduced manual reconciliation effort by 80% and improved order-to-cash velocity.
Why this matters now
The shift to AI-centric business models is already underway. But without a consistent way to ingest, transform, and govern data across systems, even the best AI agents will fall short.
Composable enterprises solve this by building on open, standardized integration, enabling teams to respond faster, scale smarter, and future-proof their architecture. SnapLogic helps enterprises get there with:
- A unified, low-code platform for application and data integration and API management
- AI-powered tooling like SnapGPT and AgentCreator
- Built-in support for open standards and industry protocols
Real world example:
A global HR solutions provider used SnapGPT to accelerate API integration development, helping their engineering team build over 50 integrations in half the time—empowering their data science team to deploy generative AI use cases faster.
A foundation built for change
Standardization isn’t a constraint — it’s a catalyst. By adopting open formats and composable integration patterns, enterprises can unlock agility, reduce technical debt, and move at the speed of innovation.
SnapLogic is committed to making that future possible. Whether you’re managing telemetry with OpenTelemetry, ensuring lineage with OpenLineage, or integrating legacy systems with modern agents, we provide the tools and infrastructure to make integration simple, scalable, and smart.
Ready to learn how to build your composable foundation? Explore how SnapLogic supports open standards and powers your transition to an AI-ready, composable enterprise.
