List of SAS Data Management Integrations

This is a list of platforms and tools that integrate with SAS Data Management. This list is updated as of August 2026.

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    FlashBlade//S Reviews & Ratings

    FlashBlade//S

    Everpure

    Experience seamless all-flash storage for modern data challenges.
    Everpure FlashBlade//S is a unified scale-out file and object storage platform designed to help enterprises manage the rapid growth of unstructured data. The solution is built for modern machine-generated workloads that require fast access, high efficiency, strong protection, and simplified operations across large data environments. FlashBlade//S uses DirectFlash technology and the Purity operating system to deliver native multiprotocol support for NFS, SMB, and S3. It can support billions of files and objects in a single system, making it suitable for organizations with data-intensive workloads across analytics, AI, machine learning, HPC, genomics, healthcare, EDA, financial services, cyber resiliency, and rapid restore. Its modular architecture allows teams to scale capacity and performance independently, helping reduce stranded capacity and giving organizations flexibility as workload requirements change. FlashBlade//S R2 blades provide higher performance than previous generations, supporting demanding use cases such as RAG, training, inference, simulation, and large-scale data processing. The platform includes enterprise data services such as compression, global erasure coding, always-on encryption, SafeMode, file replication, object replication, and cloud-based Pure1 monitoring. Zero Move Tiering helps optimize performance and cost across heterogeneous all-flash clusters without requiring data movement, while Rapid Replicas enables efficient near-real-time metadata replication for distributed collaboration. FlashBlade//S is designed to replace complex siloed legacy systems with a consolidated platform that is easier to set up, manage, upgrade, and scale. Through Evergreen//Forever and Evergreen//One options, customers can access nondisruptive upgrades, ongoing software innovation, flexible consumption models, and infrastructure that stays modern over time.
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    Truedat Reviews & Ratings

    Truedat

    Bluetab Solutions

    Transform your data governance for a competitive edge.
    Truedat is an innovative open-source platform for collaborative data governance, developed by Bluetab Solutions to facilitate clients in evolving into data-driven organizations. Our focus is on clearly defining business processes, assigning roles and responsibilities, and ensuring effective execution of these strategies. Additionally, we prioritize the integration and customization of Truedat’s open-source features to improve data governance methodologies. Our dedication extends to offering continuous support and maintenance for both the software and the related processes linked to the solution modules we deploy. With more than eight years of experience in Data Governance consulting and development, we have designed a solution that tackles the complexities of managing dynamic data architectures. As businesses increasingly transition their IT systems to cloud, multi-cloud, and hybrid setups, the diversity and intricacy of data sources grow, thus elevating the necessity for Truedat. This powerful solution not only simplifies governance structures but also equips organizations with the tools to adeptly maneuver through the challenges posed by contemporary data environments, ensuring they remain competitive and compliant in an ever-evolving landscape.
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    SAS Data Loader for Hadoop Reviews & Ratings

    SAS Data Loader for Hadoop

    SAS

    Transform your big data management with effortless efficiency today!
    Easily import or retrieve your data from Hadoop and data lakes, ensuring it's ready for report generation, visualizations, or in-depth analytics—all within the data lakes framework. This efficient method enables you to organize, transform, and access data housed in Hadoop or data lakes through a straightforward web interface, significantly reducing the necessity for extensive training. Specifically crafted for managing big data within Hadoop and data lakes, this solution stands apart from traditional IT tools. It facilitates the bundling of multiple commands to be executed either simultaneously or in a sequence, boosting overall workflow efficiency. Moreover, you can automate and schedule these commands using the public API provided, enhancing operational capabilities. The platform also fosters collaboration and security by allowing the sharing of commands among users. Additionally, these commands can be executed from SAS Data Integration Studio, effectively connecting technical and non-technical users. Not only does it include built-in commands for various functions like casing, gender and pattern analysis, field extraction, match-merge, and cluster-survive processes, but it also ensures optimal performance by executing profiling tasks in parallel on the Hadoop cluster, which enables the smooth management of large datasets. This all-encompassing solution significantly changes your data interaction experience, rendering it more user-friendly and manageable than ever before, while also offering insights that can drive better decision-making.
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    SAS MDM Reviews & Ratings

    SAS MDM

    SAS

    Achieve unified, accurate data management with seamless integration.
    Integrating master data management solutions with SAS 9.4 allows SAS MDM to function through a web-based interface that can be accessed via the SAS Data Management Console. This integration ensures that organizations have a unified and accurate view of their data by merging information from various sources into a single master record. Furthermore, the capabilities of SAS® Data Remediation and SAS® Task Manager complement SAS MDM and enhance other SAS offerings, such as SAS® Data Management and SAS® Data Quality. SAS Data Remediation empowers users to identify and resolve issues that arise from business rules in both batch processes and real-time scenarios within SAS MDM. On the other hand, SAS Task Manager acts as an effective tool that integrates effortlessly with SAS Workflow technologies, enabling users to oversee workflows triggered by different SAS applications with convenience. By facilitating the initiation, completion, and modification of workflows submitted to the SAS Workflow server, this unified ecosystem allows organizations to uphold effective data management strategies. Ultimately, the combination of these technologies establishes a strong foundation for the proficient management of master data, ensuring that organizational data remains accurate and reliable.
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    Rapid Insight Reviews & Ratings

    Rapid Insight

    Rapid Insight

    Empower your team with seamless, intuitive data solutions.
    Analytics solutions that cater to every user: intuitive, powerful, and easy to access. Uncover the ideal platform for data preparation, forecasting, and reporting that you've been searching for all along. Our philosophy centers around the idea that data should serve as a communal resource within every organization. Equip your team with the tools to make faster, more data-driven decisions with confidence. Our dedicated analysts are always ready to delve into your data challenges and support you in achieving your goals. Data often resides in silos across different departments, stored in various formats, making it difficult to handle effectively. Construct allows you to effortlessly consolidate and organize data from diverse sources. You can integrate information in any format from a wide range of origins, including Excel, Access, SQL, SAS, SPSS, MySQL, and much more. Plus, you can engage with data from systems like PeopleSoft, Blackboard, and Salesforce, ensuring your original data remains intact throughout the preparation process while using minimal hardware resources. By streamlining data management, we strive to boost your organization’s overall productivity and foster better collaboration among teams. This way, you can focus on leveraging insights rather than getting bogged down by data complexities.
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