10 Integrations with SSIS

View a list of SSIS integrations and software that integrates with SSIS below. Compare the best SSIS integrations as well as features, ratings, user reviews, and pricing of software that integrates with SSIS. Here are the current SSIS integrations in 2026:

  • 1
    AnalyticsCreator

    AnalyticsCreator

    AnalyticsCreator

    AnalyticsCreator is a metadata-driven data warehouse automation application for teams working in the Microsoft data ecosystem. It enables data engineers to design, generate, and maintain production-ready data products across Microsoft SQL Server, Azure Data Factory, and Microsoft Fabric. By using centralized metadata, AnalyticsCreator generates ELT pipelines, dimensional models, historization logic, and analytical models in a consistent, version-controlled way. This reduces manual implementation effort and tool sprawl while ensuring transparency through built-in lineage tracking and clear visibility into data dependencies and change impact. With CI/CD integration via Azure DevOps and GitHub, plus support for custom SQL, AnalyticsCreator helps data teams scale delivery, enforce standards, and maintain control as complexity grows.
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  • 2
    Web APIs by Melissa
    Melissa’s Web APIs provide a comprehensive solution for global data verification, cleansing, and enrichment to maintain reliable data. Verify, standardize and cleanse global identities, addresses, phones & emails, powered by AI-driven reference data. Our flexible APIs are designed for modern interfaces, including REST, JSON, and XML are easily accessible through our Developer Portal, where you can build, test, and explore integrations. Enhance your data with geographic, demographic, and firmographic insights, along with U.S. property data for advanced enrichment. Melissa supports seamless integration with popular platforms such as Salesforce, Shopify, and more, making data management and governance simple and efficient. Whether you’re focused on data management, data validation, or leveraging our APIs into your website or mobile applications, Melissa helps you unlock the full potential of your data. Get started with 1,000 complimentary credits! All you need is a Melissa account
    Starting Price: $4.95 for 1,000 credits
  • 3
    SQL Server

    SQL Server

    Microsoft

    Intelligence and security are built into Microsoft SQL Server 2019. You get extras without extra cost, along with best-in-class performance and flexibility for your on-premises needs. Take advantage of the efficiency and agility of the cloud by easily migrating to the cloud without changing code. Unlock insights and make predictions faster with Azure. Develop using the technology of your choice, including open source, backed by Microsoft's innovations. Easily integrate data into your apps and use a rich set of cognitive services to build human-like intelligence across any scale of data. AI is native to the data platform—you can unlock insights faster from all your data, on-premises and in the cloud. Combine your unique enterprise data and the world's data to build an intelligence-driven organization. Work with a flexible data platform that gives you a consistent experience across platforms and gets your innovations to market faster—you can build your apps and then deploy anywhere.
    Starting Price: Free
  • 4
    Vertica

    Vertica

    Rocket Software

    Vertica is an enterprise-grade analytics database platform designed to help organizations run high-performance analytics, data warehousing, and AI workloads across hybrid cloud environments. Following its acquisition by Rocket Software, Vertica now strengthens Rocket’s modernization and enterprise data portfolio by combining advanced analytics, AI capabilities, and trusted mission-critical systems. The platform enables businesses to process and analyze massive volumes of structured and unstructured data while supporting on-premises, cloud, private cloud, and hybrid deployments. Vertica helps enterprises accelerate decision-making, modernize legacy environments, and run advanced analytics and generative AI directly on trusted enterprise data sources. The platform integrates with Rocket DataEdge and Rocket ContentEdge solutions to create a unified data modernization ecosystem focused on governance, analytics, and operational intelligence.
  • 5
    Azure Database Migration Service
    Easily migrate your data, schema, and objects from multiple sources to the cloud at scale. Azure Database Migration Service is a tool that helps you simplify, guide, and automate your database migration to Azure. Migrate your database and server objects, including user accounts, agent jobs, and SQL Server Integration Services (SSIS) packages all at once. Migrate your data to Azure from the most common database management systems. Whether you’re moving from an on-premises database or another cloud, Database Migration Service supports key migration scenarios such as SQL Server, MySQL, PostgreSQL, and MongoDB. Save time and effort by automating your move to Azure with PowerShell. Database Migration Service works with PowerShell cmdlets to automatically migrate a list of databases. Supports Microsoft SQL Server, MySQL, PostgreSQL, and MongoDB migration to Azure from on-premises and other clouds.
  • 6
    FairCom EDGE
    FairCom EDGE simplifies the integration of sensor and machine data at the source – whether it’s a factory, water treatment plant, oil platform or wind farm. The world’s first converged IoT/Industrial IoT hub, FairCom EDGE unifies messaging, persistence and analytics with an all-in-one solution – complete with browser-based administration, configuration and monitoring. FairCom EDGE supports MQTT and OPC UA for machine-to-machine (M2M) communication, SQL for interactive analytics and HTTP/REST for real-time monitoring. It continuously retrieves data from sensors and machines with OPC UA support, and receives messages from those with MQTT support. The data is automatically parsed, persisted and made accessible via MQTT and SQL.
    Starting Price: Free
  • 7
    SolarWinds Task Factory
    Developer teams building data-centric applications on the Microsoft data platform face challenges when using SQL Server Integration Services (SSIS) for data extract, load, and processing (ETL) tasks. Ensuring an efficient ETL design is one of the most important—but often overlooked—aspects of ensuring a high-performing data-centric application. If your SSIS packages aren't performing efficiently, you're potentially wasting development resources, processing power, and hardware resources.
  • 8
    FairCom DB

    FairCom DB

    FairCom Corporation

    FairCom DB is ideal for large-scale, mission-critical, core-business applications that require performance, reliability and scalability that cannot be achieved by other databases. FairCom DB delivers predictable high-velocity transactions and massively parallel big data analytics. It empowers developers with NoSQL APIs for processing binary data at machine speed and ANSI SQL for easy queries and analytics over the same binary data. Among the companies that take advantage of the flexibility of FairCom DB is Verizon, who recently chose FairCom DB as an in-memory database for its Verizon Intelligent Network Control Platform Transaction Server Migration. FairCom DB is an advanced database engine that gives you a Continuum of Control to achieve unprecedented performance with the lowest total cost of ownership (TCO). You do not conform to FairCom DB…FairCom DB conforms to you. With FairCom DB, you are not forced to conform your needs to meet the limitations of the database.
  • 9
    Azure Data Factory
    Integrate data silos with Azure Data Factory, a service built for all data integration needs and skill levels. Easily construct ETL and ELT processes code-free within the intuitive visual environment, or write your own code. Visually integrate data sources using more than 90+ natively built and maintenance-free connectors at no added cost. Focus on your data—the serverless integration service does the rest. Data Factory provides a data integration and transformation layer that works across your digital transformation initiatives. Data Factory can help independent software vendors (ISVs) enrich their SaaS apps with integrated hybrid data as to deliver data-driven user experiences. Pre-built connectors and integration at scale enable you to focus on your users while Data Factory takes care of the rest.
  • 10
    Data Sentinel

    Data Sentinel

    Data Sentinel

    As a business leader, you need to trust your data and be 100% certain that it’s well-governed, compliant, and accurate. Including all data, in all sources, and in all locations, without limitations. Understand your data assets. Audit for risk, compliance, and quality in support of your project. Catalog a complete data inventory across all sources and data types, creating a shared understanding of your data assets. Run a one-time, fast, affordable, and accurate audit of your data. PCI, PII, and PHI audits are fast, accurate, and complete. As a service, with no software to purchase. Measure and audit data quality and data duplication across all of your enterprise data assets, cloud-native and on-premises. Comply with global data privacy regulations at scale. Discover, classify, track, trace and audit privacy compliance. Monitor PII/PCI/PHI data propagation and automate DSAR compliance processes.
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