Unstructured vs. Boomi: Choosing the Right Tool for Data Integration

What is Unstructured?

The Unstructured Platform is a specialized solution designed to transform unstructured data—such as PDFs, emails, and scanned documents—into structured, machine-readable formats. It supports various document processing workflows, making it ideal for AI applications, Retrieval-Augmented Generation (RAG) systems, and enterprise data pipelines.

Key Features of Unstructured

• No-Code Data Processing: Enables users to convert raw unstructured data into a structured format without writing custom code.

• Diverse Data Source Support: Connects to cloud storage services (AWS S3, Azure Blob, GCP), databases (Databricks, Elasticsearch, OpenSearch), and enterprise platforms (Salesforce, Google Drive, SharePoint).

• Advanced Partitioning & Chunking: Utilizes multiple partitioning strategies (Fast, HiRes, Auto) and intelligent chunking methods (By Title, By Page, By Similarity) to optimize content extraction.

• AI-Powered Enrichment: Generates metadata, captions, and embeddings for AI-driven document retrieval and analysis.

• Vector Database Integration: Seamlessly integrates with Pinecone, Weaviate, Chroma, Elasticsearch, OpenSearch, and other storage destinations.

• Enterprise-Grade Security: Offers SOC 2 Type 2, HIPAA, and GDPR compliance, ensuring data security and privacy.

Workflow Orchestration Engine

The platform’s orchestration layer manages complex scheduling, automatic retries, and parallel processing of over 53,000 documents per job while maintaining millisecond latency between processing steps. Unlike limited frameworks that focus solely on specific tasks, Unstructured provides end-to-end orchestration capabilities, including:

• Real-time document detection with automated triggering of processing pipelines.

• Intelligent incremental updates that reprocess only modified content.

• Horizontal scaling across multiple data planes in hybrid cloud environments.

• Embedded metadata governance tracking data lineage from source to vector store.

Enterprise Scalability

Performance benchmarks indicate that the hosted SaaS deployment processes over 15 million pages per hour per workflow, with proven scalability to petabytes of unstructured data. For organizations requiring full control, the in-VPC deployment model eliminates data egress costs while providing unlimited scaling based on private infrastructure capacity. This architecture supports multi-region processing with centralized governance, essential for global enterprises managing localized data residency requirements.

Enterprise Integrations

With over 71 pre-built connectors spanning storage systems, LLM providers, and vector databases, Unstructured Platform acts as the central nervous system for GenAI data pipelines. Current production integrations include direct access to OpenAI and Anthropic models for embeddings and enrichment, with expanded model support scheduled for Q2 2025. The platform’s API-first design allows custom integration with any third-party service while maintaining SOC 2 Type 2 compliance across all data flows.

Read more about how Unstructured can help you do Production-Ready data processing for GenAI here.

What is Boomi?

Boomi is a cloud-based integration platform as a service (iPaaS) that enables organizations to connect applications, data, and systems seamlessly. It offers a unified platform for integration, API management, workflow automation, and master data management, facilitating efficient data flow across diverse environments.

Key Features of Boomi

• Intuitive Interface: Provides a visual, drag-and-drop interface for designing and deploying integration workflows, reducing the need for extensive coding.

• Pre-Built Connectors: Offers an extensive library of pre-built connectors for popular applications, databases, and cloud services, enabling rapid integration development.

• Hybrid Deployment Flexibility: Supports both cloud-based and on-premises deployments, allowing organizations to choose architectures that align with their requirements.

• API Management: Enables the creation, deployment, and management of APIs throughout their lifecycle, facilitating secure and scalable integrations.

• Workflow Automation: Automates business processes across platforms and devices, enhancing operational efficiency.

• Master Data Management: Ensures data consistency and accuracy across the organization by synchronizing and governing master data.

Unstructured vs. Boomi: A Feature Comparison

FeatureUnstructured PlatformBoomiPrimary FunctionUnstructured data processing & transformationComprehensive data integration & managementData Sources SupportedCloud storage, databases, enterprise appsApplications, databases, cloud servicesAI CapabilitiesDocument parsing, enrichment, embeddingsWorkflow automation, API managementIntegrationVector DBs, LLM frameworks, data lakesOn-premises and cloud environmentsBest ForPreparing unstructured data for AI workflowsCentralizing and automating data integration

Choosing the Right Tool for Your Data Integration Needs

While Boomi offers a comprehensive suite for integrating and managing data across various systems, the Unstructured Platform is specifically designed to transform raw, unstructured documents into structured, AI-ready data. If your primary focus is on processing and enriching unstructured data to enhance AI applications and retrieval systems, Unstructured provides a tailored solution to meet these needs.

At Unstructured, we're committed to simplifying the process of preparing unstructured data for AI applications. Our platform empowers you to transform raw, complex data into structured, machine-readable formats, enabling seamless integration with your AI ecosystem. To experience the benefits of Unstructured firsthand, get started today and let us help you unleash the full potential of your unstructured data.