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Learn more about Uniphore and how we support businesses with advanced AI and modular systems. For more in-depth definitions and terms, explore our glossary of terms.
Composable architecture is a modern approach that enables no-copy integration with cloud data warehouses like Snowflake, Databricks, Google BigQuery, and AWS Redshift. Instead of moving or duplicating data, composable architecture allows systems to directly tap into live data where it resides, ensuring real-time access, consistency, and efficiency.
At its core, composable architecture eliminates traditional data movement by leveraging zero-copy data access. This means applications and services can query and process data in-place within a data warehouse or lakehouse, avoiding redundancy and reducing costs. By keeping data centralized and maintaining a single source of truth, businesses can ensure governance, scalability, and performance while integrating with best-in-class analytics, AI, and operational tools.
Key benefits of no-copy integration include:
Composable architecture with no-copy data integration offers several critical advantages:
Directly queries and processes data within cloud data warehouses like Snowflake, Databricks, BigQuery, and Redshift, eliminating duplication and ensuring real-time access
Leverages the computing power of the data warehouse instead of extracting data into separate systems, reducing latency and cost
Maintains a single source of truth by keeping all data centralized, improving security and compliance
Enables immediate access to customer, operational, and analytics data without syncing delays
Allows businesses to integrate best-in-class tools for analytics, customer engagement, and AI without rigid dependencies on a monolithic platform
Instead of copying data into separate customer data platforms (CDPs) or analytics tools, composable systems query live data directly from cloud warehouses.
Applications execute transformations and aggregations inside the data warehouse, leveraging its processing power rather than external servers.
Businesses can connect their existing tools—such as BI platforms, AI models, and customer engagement solutions—directly to the warehouse via APIs.
Companies can add or replace services as needed without disrupting the core data infrastructure.
Instead of exporting customer data from Snowflake into a traditional CDP, a business using composable architecture would:
A marketing team can query customer data directly in Snowflake and push audience segments to ad platforms without data duplication.
AI models can access product and customer behavior data stored in Databricks, enabling personalized recommendations without ETL pipelines.
A BI tool like Looker or Tableau connects directly to a cloud data warehouse, ensuring real-time dashboards without stale or siloed data.
By keeping data centralized and accessible without copies, composable architecture streamlines operations, enhances decision-making, and ensures businesses can scale efficiently.
Composable architecture offers several important benefits that make it an attractive option for businesses looking to build modern, agile and scalable technology systems.
Composable architecture enhances agility by allowing businesses to quickly respond to changes in the market, customer preferences, or internal processes. With modular components, companies can rapidly deploy new features, update existing functionality or switch out underperforming modules with minimal disruption to the overall system.
Benefit: Businesses can innovate faster, improve time-to-market and maintain a competitive edge in dynamic industries.
By allowing businesses to purchase and implement only the components they need, composable architecture can be a more cost-effective option than traditional monolithic systems. Companies avoid the expense of overbuilt solutions and can scale their systems incrementally as needed.
Benefit: Businesses can start small, adding only the modules necessary for their current operations, and then gradually expand their system over time as their requirements grow.
Composable architecture offers a high degree of customization. Businesses can choose the specific modules, tools and services that best align with their strategic goals, allowing them to tailor their systems to their unique needs.
Benefit: Companies have more control over how their systems operate, which means they can design a solution that fits their business processes, regulatory requirements and customer expectations.
The modular nature of composable architecture makes it easier for businesses to adapt to future technology trends, industry changes or evolving business needs. As new technologies emerge, businesses can easily replace or upgrade individual components without having to redesign their entire system.
Benefit: Composable architecture ensures that businesses are not tied to outdated technology and can continue to evolve their systems to remain competitive.
Composable architecture with zero-copy data integration is transforming how businesses leverage their data. By keeping data centralized in cloud warehouses like Snowflake, Databricks, BigQuery, and Redshift, organizations can drive efficiency, real-time insights, and AI-powered experiences.
By leveraging data warehouse-native integrations, composable architecture enables organizations to build flexible, scalable, and AI-ready ecosystems without the limitations of traditional monolithic platforms. This approach ensures that data remains where it is most powerful—inside cloud data warehouses—while enabling seamless connectivity with customer experience, analytics, and AI applications.
Learn more about Uniphore and how we support businesses with advanced AI and modular systems. For more in-depth definitions and terms, explore our glossary of terms.