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SourceMash delivers enterprise-grade Data Integration and API Management solutions — connecting your applications, automating data flows, and powering real-time decisions with MuleSoft, Azure Data Factory, Kafka, and more.
Certified & trusted by leading enterprises worldwide
What We Deliver
From connecting siloed applications to building scalable API ecosystems, we deliver end-to-end data integration capabilities that power modern enterprise operations.
Design and implement robust, scalable data integration architectures that connect enterprise applications, automate data flows, and enable real-time visibility across your entire technology ecosystem.
Build, secure, and govern a scalable API layer that connects your enterprise — from legacy systems to modern microservices — using industry-leading API management platforms and open standards.
Architect event-driven, real-time data streaming solutions that enable instant insights, operational intelligence, and seamless system-to-system communication at enterprise scale.
Our certified specialists have deep hands-on expertise across the industry's leading data integration and API management platforms.
As a certified MuleSoft partner, SourceMash delivers end-to-end Anypoint Platform implementations — from API design and development to runtime deployment, monitoring, and governance at enterprise scale.
Design System, Process & Experience APIs using MuleSoft's 3-layer API-led approach for reusable, governed integrations.
Deploy MuleSoft applications on CloudHub 2.0 or on-premises with Runtime Fabric for hybrid cloud integration.
Build reusable integration assets, enforce API policies, and manage the full API lifecycle through Anypoint Exchange.
Full observability of Mule applications with custom dashboards, alerts, and distributed tracing.
SourceMash's Azure-certified engineers design and implement scalable ADF pipelines for enterprise ETL/ELT, data lake ingestion, and hybrid cloud data movement — fully integrated with the Azure data ecosystem.
Build code-free and code-based pipelines for data transformation, cleansing, and loading at petabyte scale.
Ingest data from 90+ connectors into Azure Data Lake, Synapse Analytics, or Databricks.
Time-based, event-triggered, and dependency-based pipeline orchestration for reliable data delivery.
Full pipeline monitoring, alerting, and data lineage tracking with Azure Monitor and Purview integration.
SourceMash architects and deploys enterprise-grade Kafka streaming platforms — enabling real-time event-driven architectures that power instant data movement, operational intelligence, and microservices communication.
Design and deploy highly available, fault-tolerant Kafka clusters on-premises, Confluent Cloud, or Azure HDInsight.
Build real-time stream processing applications with Kafka Streams, Apache Flink, and ksqlDB.
Integrate Kafka with 200+ data sources and sinks using Kafka Connect for seamless data movement.
Enforce data contracts with Confluent Schema Registry for Avro, JSON Schema, and Protobuf.
SourceMash's Google Cloud-certified engineers implement Apigee as the enterprise API gateway — enabling secure, scalable, and governed API programs with full lifecycle management, developer portals, and analytics.
Build Apigee API proxies with traffic management, transformation, and mediation policies.
Implement OAuth 2.0, API Key, JWT verification, and threat protection policies at the gateway layer.
Launch branded developer portals with API documentation, sandbox testing, and API monetization capabilities.
Real-time API performance analytics, custom dashboards, and anomaly detection with Apigee Analytics.
SourceMash implements Azure API Management as the central API gateway for Microsoft-centric enterprises — unifying API publishing, security, monitoring, and developer engagement within the Azure ecosystem.
Deploy Azure APIM in consumption, developer, or premium tiers with multi-region support and VNet integration.
Implement inbound/outbound policies for request transformation, caching, rate limiting, and JWT validation.
Integrate APIM with Azure Logic Apps, Azure Functions, Service Bus, and Event Grid for full integration coverage.
Full API observability with Azure Monitor, Application Insights, and custom alert configurations.
Our Credentials
Our team carries the industry's most respected certifications across data integration and API management platforms.
A structured, repeatable methodology that ensures every integration project is delivered on time, within budget, and with measurable business impact.
Client Reviews
Hear from enterprise clients who have transformed their data integration capabilities with SourceMash.
SourceMash's MuleSoft team modernized our entire integration layer in under 6 months. We went from managing 40 point-to-point integrations to a governed API-led architecture. Time-to-integrate new partners dropped from weeks to days.
The Azure Data Factory implementation by SourceMash gave us a unified view of patient data across all our facilities for the first time. Data pipeline reliability went from 85% to 99.9% — and our clinical teams finally trust the data.
We chose SourceMash for our Kafka streaming platform and their expertise was exceptional. During our peak sale event, the platform handled over 500K events per minute without a single failure. The ROI was visible within the first quarter.
Explore Related Services
Data integration often works hand-in-hand with adjacent capabilities. Explore our related service areas to find the right solution for your needs.
Once your data is unified, unlock the next level with AI-powered analytics, predictive models, and intelligent automation built on your integrated data layer.
Explore AI & Analytics iconNeed to integrate Salesforce, Oracle CX, or Dynamics 365 with your enterprise systems? Our CRM integration specialists ensure seamless bidirectional data flows.
Explore CRM Services iconConnect your marketing tools — Marketo, HubSpot, Salesforce MC — with CRM and CDP platforms for a unified customer data view that drives personalization.
Explore Marketing Technology iconAutomate your integration deployments with CI/CD pipelines, infrastructure-as-code, and containerized MuleSoft or ADF deployments using our DevOps practice.
Explore DevOps iconSecure your API layer with enterprise-grade security practices — API threat protection, OAuth governance, and integration with your SOC and SIEM platforms.
Explore Cybersecurity iconIntegrate ServiceNow and Jira Service Management with your enterprise systems — enabling automated ticketing, workflow triggers, and bi-directional data sync.
Explore ITSM iconPerspectives, research, and practical guidance from our enterprise technology experts.
Whether you need to connect applications with MuleSoft, build real-time Kafka pipelines, modernize your APIs, or set up an enterprise integration platform — Sourcemash has the expertise to deliver.
Tell us about your business challenge. Our experts will respond within one business day with initial thoughts and next steps.
Everything you need to know before reaching out to us.
What is the difference between MuleSoft and Azure Data Factory — which one should I use?
MuleSoft Anypoint Platform is an enterprise integration platform best suited for API-led connectivity, complex B2B integrations, and hybrid environments where you need a robust API gateway alongside integration. Azure Data Factory is Microsoft's cloud-native ETL/ELT service best suited for bulk data movement, data lake ingestion, and transformation within the Azure ecosystem. Many enterprises use both — ADF for data pipelines and MuleSoft for API and application integration. We help you assess your specific use case and recommend the right approach.
How long does a typical enterprise data integration project take?
Project timelines vary based on scope and complexity. A focused integration project (e.g., connecting 2-3 systems via APIs) can be completed in 6-10 weeks. A full enterprise integration platform implementation (MuleSoft Anypoint, for example) typically takes 3-6 months for the foundation, followed by phased integration rollouts. We always recommend starting with a 2-week Discovery & Assessment sprint to define a clear roadmap and realistic timeline before committing to a full implementation.
What is API-led connectivity and why should my enterprise adopt it?
API-led connectivity is a MuleSoft-popularized approach that structures integrations into three layers: System APIs (expose backend data), Process APIs (orchestrate business logic), and Experience APIs (tailored for specific consumers). The key benefit is reusability — once a System API is built, it can be reused across multiple applications without rebuilding integrations. Enterprises adopting API-led connectivity typically reduce new integration build time by 60-70% after the initial investment in API foundations.
How do you ensure data security in integration pipelines?
Security is embedded at every layer of our integration architecture: (1) Transport security — TLS 1.2/1.3 for all data in transit; (2) API security — OAuth 2.0, JWT, API keys, and mTLS at the gateway layer; (3) Data security — field-level encryption and data masking for sensitive fields; (4) Network security — VNet integration, private endpoints, and IP whitelisting; (5) Governance — rate limiting, threat protection policies, and audit logging. All implementations are aligned with ISO 27001 and SOC 2 Type II controls.
Can you integrate legacy on-premises systems with cloud applications?
Absolutely. Hybrid integration is one of our core specializations. We routinely integrate legacy systems — mainframes, SAP ECC, Oracle EBS, TIBCO — with modern cloud applications using MuleSoft's hybrid deployment capabilities, Azure Integration Runtime for ADF, or custom API wrappers. We can expose legacy functionality as secure REST APIs, enabling gradual modernization without requiring a complete re-platform of your legacy infrastructure.
What is GraphQL and when should I use it instead of REST APIs?
GraphQL is a query language for APIs that allows clients to request exactly the data they need in a single request — unlike REST, which often requires multiple calls to different endpoints. GraphQL is ideal when: (1) you have complex, nested data relationships; (2) multiple clients (web, mobile, IoT) need different data shapes from the same API; (3) you want to reduce over-fetching and under-fetching of data. REST remains the better choice for simpler, resource-based APIs, public APIs, and caching-heavy scenarios. We help you choose the right approach for each use case.
Do you offer managed services for ongoing integration platform support?
Yes. Sourcemash offers comprehensive Managed Integration Services covering platform monitoring (24/7 or business hours), incident response, pipeline performance optimization, security patch management, and ongoing development of new integrations. Our SLAs include 99.9% pipeline uptime guarantees, <4 hour incident response for critical issues, and monthly performance reporting. We support MuleSoft Anypoint, Azure Data Factory, Kafka, Apigee, and Azure APIM as managed platforms.
What is Apache Kafka and when does my enterprise need it?
Apache Kafka is a distributed event streaming platform designed for high-throughput, real-time data movement. Your enterprise needs Kafka when: (1) you have high-volume data streams (millions of events per second); (2) you need real-time data pipelines between systems; (3) you're building event-driven microservices architectures; (4) you need reliable, fault-tolerant message delivery with replay capability. For lower-volume integration scenarios, Azure Service Bus or traditional MuleSoft integrations are often more cost-effective.