Best Data Management Software for Amazon Web Services (AWS) - Page 6

Compare the Top Data Management Software that integrates with Amazon Web Services (AWS) as of November 2025 - Page 6

This a list of Data Management software that integrates with Amazon Web Services (AWS). Use the filters on the left to add additional filters for products that have integrations with Amazon Web Services (AWS). View the products that work with Amazon Web Services (AWS) in the table below.

  • 1
    PHEMI Health DataLab
    The PHEMI Trustworthy Health DataLab is a unique, cloud-based, integrated big data management system that allows healthcare organizations to enhance innovation and generate value from healthcare data by simplifying the ingestion and de-identification of data with NSA/military-grade governance, privacy, and security built-in. Conventional products simply lock down data, PHEMI goes further, solving privacy and security challenges and addressing the urgent need to secure, govern, curate, and control access to privacy-sensitive personal healthcare information (PHI). This improves data sharing and collaboration inside and outside of an enterprise—without compromising the privacy of sensitive information or increasing administrative burden. PHEMI Trustworthy Health DataLab can scale to any size of organization, is easy to deploy and manage, connects to hundreds of data sources, and integrates with popular data science and business analysis tools.
  • 2
    Informatica Persistent Data Masking
    Retain context, form, and integrity while preserving privacy. Enhance data protection by de-sensitizing and de-identifying sensitive data, and pseudonymize data for privacy compliance and analytics. Obscured data retains context and referential integrity remain consistent, so the masked data can be used in testing, analytics, or support environments. As a highly scalable, high-performance data masking solution, Informatica Persistent Data Masking shields confidential data—such as credit card numbers, addresses, and phone numbers—from unintended exposure by creating realistic, de-identified data that can be shared safely internally or externally. It also allows you to reduce the risk of data breaches in nonproduction environments, produce higher-quality test data and streamline development projects, and ensure compliance with data-privacy mandates and regulations.
  • 3
    Actian Avalanche
    Actian Avalanche is a fully managed hybrid cloud data warehouse service designed from the ground up to deliver high performance and scale across all dimensions – data volume, concurrent user, and query complexity – at a fraction of the cost of alternative solutions. It is a true hybrid platform that can be deployed on-premises as well as on multiple clouds, including AWS, Azure, and Google Cloud, enabling you to migrate or offload applications and data to the cloud at your own pace. Actian Avalanche delivers the best price-performance in the industry outof-the-box without DBA tuning and optimization techniques. For the same cost as alternative solutions, you can benefit from substantially better performance or chose the same performance for significantly lower cost. For example, Avalanche provides up to 6x the price-performance advantage over Snowflake as measured by GigaOm’s TPC-H industry standard benchmark and even more against many of the appliance vendors.
  • 4
    Informatica Intelligent Cloud Services
    Go beyond table stakes with the industry’s most comprehensive, microservices-based, API-driven, and AI-powered enterprise iPaaS. Powered by the CLAIRE engine, IICS supports any cloud-native pattern, from data, application, and API integration to MDM. Our global distribution and multi-cloud support covers Microsoft Azure, AWS, Google Cloud Platform, Snowflake, and more. IICS offers the industry’s highest enterprise scale and trust, with the industry’s most security certifications. Our enterprise iPaaS includes multiple cloud data management products designed to accelerate productivity and improve speed and scale. Informatica is a Leader again in the Gartner 2020 Magic Quadrant for Enterprise iPaaS. Get real-world insights and reviews for Informatica Intelligent Cloud Services. Try our cloud services—for free. Our customers are our number-one priority—across products, services, and support. That’s why we’ve earned top marks in customer loyalty for 12 years in a row.
  • 5
    SQLyog

    SQLyog

    Webyog

    A Powerful MySQL Development and Administration Solution. SQLyog Ultimate enables database developers, administrators, and architects to visually compare, optimize, and document schemas. SQLyog Ultimate includes a power tool to automate and schedule the synchronization of data between two MySQL hosts. Create the job definition file using the interactive wizard. The tool does not require any installation on the MySQL hosts. You can use any host to run the tool. SQLyog Ultimate includes a power tool to interactively synchronize data. Run the tool in attended mode to compare data from source and target before taking action. Using the intuitive display, compare data on source and target for every row to decide whether it should be synchronized in which direction. SQLyog Ultimate includes a power tool to interactively compare and synchronize schema. View the differences between tables, indexes, columns, and routines of two databases.
  • 6
    Iterative

    Iterative

    Iterative

    AI teams face challenges that require new technologies. We build these technologies. Existing data warehouses and data lakes do not fit unstructured datasets like text, images, and videos. AI hand in hand with software development. Built with data scientists, ML engineers, and data engineers in mind. Don’t reinvent the wheel! Fast and cost‑efficient path to production. Your data is always stored by you. Your models are trained on your machines. Existing data warehouses and data lakes do not fit unstructured datasets like text, images, and videos. AI teams face challenges that require new technologies. We build these technologies. Studio is an extension of GitHub, GitLab or BitBucket. Sign up for the online SaaS version or contact us to get on-premise installation
  • 7
    Intel Tiber AI Studio
    Intel® Tiber™ AI Studio is a comprehensive machine learning operating system that unifies and simplifies the AI development process. The platform supports a wide range of AI workloads, providing a hybrid and multi-cloud infrastructure that accelerates ML pipeline development, model training, and deployment. With its native Kubernetes orchestration and meta-scheduler, Tiber™ AI Studio offers complete flexibility in managing on-prem and cloud resources. Its scalable MLOps solution enables data scientists to easily experiment, collaborate, and automate their ML workflows while ensuring efficient and cost-effective utilization of resources.
  • 8
    Automai Robotic Process Automation
    Automai provides Robotic Process Automation (RPA) to automate and manage even the most complicated front and back office tasks on any application(s). No scripting. Record your scenario, then edit or build on it with simple commands in the clear interface provided. Automai has the only RPA product that shares a platform with testing and monitoring components allowing scenarios to be built once and utilized in a variety of functions in the same enterprise. With Automai Robotic Process Automation (RPA), you CAN automate those repetitive tasks and processes. We’ve been using and improving our robotic automation technology for a long time, since it we started emulating human behavior for our automated testing solutions in 2000. And it’s the best out there. Our robotic automation intelligently copes with changing variables that human’s process in decision-making every day, learning what’s important to your business, and adapting so you can focus on bigger issues.
  • 9
    Syniti Knowledge Platform
    For the first time, data characteristics like meaning, usage, lineage, alignment to business outcomes and ownership that are repeatedly lost after every project can be captured and retained as tangible knowledge. These vital characteristics can now be reused downstream to advance strategic business initiatives that are dependent on trusted data. Reuse data to deliver your outcomes faster. Capture and release the latent power in your data. Unlock the potential of data in context of your business. Most of your projects require the same insights and understanding into your data, and it’s likely you are consistently reinventing this information. Syniti can deliver this knowledge at a fraction of the cost and with much greater accuracy. Don’t throw away your knowledge. Unlock and reuse insights and knowledge trapped in your data. Preserve knowledge for your future use and reference.
  • 10
    Waylay

    Waylay

    Waylay

    Modular IoT platform providing best-of-breed OEM technology for back-end development and operations, enabling accelerated IoT solution delivery at scale. Advanced rule logic modeling, execution and lifecycle management. Automate any data workflow, from the simple to the complex. The Waylay platform is built from the ground up to natively cope with the multiple data patterns of IoT, OT and IT. Leverage streaming and time series analytics within the same collaborative intelligence platform. Accelerate the time to market of your IoT solutions by easily delivering self-service and KPI-centric apps to non-developer teams. Find out what automation tools are best suited to your IoT use case, then test them against the benchmark. IoT application development is fundamentally different from “normal” IT development. It requires bridging the physical world of Operations Technology (OT) with sensors, actuators and gateways to the digital world of Information Technology (IT) with databases.
  • 11
    Barracuda PST Enterprise
    PST files are often used by end-users as personal email archives. As a result, they are typically scattered widely across end-user devices and network storage, which makes them notoriously difficult to discover and manage consistently or effectively. Thanks to improvements to Microsoft Exchange and Office 365, your users no longer need to store data locally within PST files. However, legacy PST files still contain important data that you need to bring back under control. Barracuda PST Enterprise is designed specifically to help you address this challenge. You may have many terabytes of data stored in PST files located on end-user devices and on network servers. And these files are notoriously unreliable, since they are often corrupted and easily misplaced. The costs associated with storing, securing, and managing these large files, in terms of both system resources and IT administrative overhead, are significant.
  • 12
    Informatica Enterprise Data Catalog
    Scan and index metadata, discover and profile data, and provide detailed lineage across tens of millions of data sets. Classify and organize data assets across any environment to maximize data value and reuse. Automatically scan across multi-cloud platforms, BI tools, ETL, and third-party metadata catalogs; and data types. Leverage AI-powered domain discovery, data similarity, business term associations, and recommendations. Track data movement, from high-level system views to granular column-level lineage, and get detailed impact analysis. Use the Data Asset Analytics dashboard to understand asset usage, enrichment, and collaboration. View data quality rules, scorecards, metric groups, and profiling stats in context. Tap into shared data knowledge with certifications, ratings and reviews, a Q&A platform, and change notifications. Our broad and deep lineup of enterprise-grade data management solutions sets Informatica apart from the crowd.
  • 13
    SAP Data Services
    Maximize the value of all your organization’s structured and unstructured data with exceptional functionalities for data integration, quality, and cleansing. SAP Data Services software improves the quality of data across the enterprise. As part of the information management layer of SAP’s Business Technology Platform, it delivers trusted,relevant, and timely information to drive better business outcomes. Transform your data into a trusted, ever-ready resource for business insight and use it to streamline processes and maximize efficiency. Gain contextual insight and unlock the true value of your data by creating a complete view of your information with access to data of any size and from any source. Improve decision-making and operational efficiency by standardizing and matching data to reduce duplicates, identify relationships, and correct quality issues proactively. Unify critical data on premise, in the cloud, or within Big Data by using intuitive tools.
  • 14
    TCS MasterCraft DataPlus

    TCS MasterCraft DataPlus

    Tata Consultancy Services

    The users of data management software are primarily from enterprise business teams. This requires the data management software to be highly user-friendly, automated and intelligent. Additionally, data management activities must adhere to various industry-specific and data protection related regulatory requirements. Further, data must be adequate, accurate, consistent, of high quality and securely accessible so that business teams can make informed and data-driven strategic business decisons. Enables an integrated approach for data privacy, data quality management, test data management, data analytics and data modeling. Efficiently addresses growing volumes of data efficiently, through service engine-based architecture. Handles niche data processing requirements, beyond out of box functionality, through a user-defined function framework and python adapter. Provides a lean layer of governance surrounding data privacy and data quality management.
  • 15
    Informatica Data Privacy Management
    Discover your data, assess risk, and monitor suspicious access to automate protection, transparency and response, all in one solution. Prioritize data privacy and protection investments, policies, processes, and programs. Analyze value across fields, applying metadata from targeted database sources to enable risk visibility. Build a subject registry and automate identity mapping to report on data subjects (DSARs). Provide detailed summaries with APIs to third-party solutions, applying controls for objects and more. Discover where sensitive data resides, and where it’s moved to other data stores and cloud apps. Remediate by risk priority; simulate risks to assess impact for guided decisions and apply controls. Use a rich array of dashboard drill-downs to get broad visibility into data risks and control gaps. Integrated data subject reports, automated risk remediation, and visualizations and alerts.
  • 16
    InCountry

    InCountry

    InCountry

    Transform your applications to enable local compliance and security. Map your controls and improve your compliance program while still leveraging the cloud. Enable your custom apps to meet data residency requirements with minimum to no extra development. Enter new markets and drive revenue without disrupting your customer experience. The InCountry platform keeps yout financial services applications compliant with data regulations in more countries, so you can make the most of them. Protect your path to precision medicine with a modern data compliance platform. Accelerate research—and time to discovery—with healthcare focused solutions from InCountry. Enter new markets and drive revenue without disrupting your customer experience. The InCountry platform keeps your sales process fully compliant with local data regulations.
  • 17
    IRI Voracity

    IRI Voracity

    IRI, The CoSort Company

    Voracity is the only high-performance, all-in-one data management platform accelerating AND consolidating the key activities of data discovery, integration, migration, governance, and analytics. Voracity helps you control your data in every stage of the lifecycle, and extract maximum value from it. Only in Voracity can you: 1) CLASSIFY, profile and diagram enterprise data sources 2) Speed or LEAVE legacy sort and ETL tools 3) MIGRATE data to modernize and WRANGLE data to analyze 4) FIND PII everywhere and consistently MASK it for referential integrity 5) Score re-ID risk and ANONYMIZE quasi-identifiers 6) Create and manage DB subsets or intelligently synthesize TEST data 7) Package, protect and provision BIG data 8) Validate, scrub, enrich and unify data to improve its QUALITY 9) Manage metadata and MASTER data. Use Voracity to comply with data privacy laws, de-muck and govern the data lake, improve the reliability of your analytics, and create safe, smart test data
  • 18
    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.
  • 19
    Enveil

    Enveil

    Enveil

    Data is the backbone of the digital economy, we change the paradigm of how and where organizations can leverage data to unlock value. Enterprises use Enveil’s award-winning ZeroReveal® solutions to securely and privately use data in-place across organizational boundaries, jurisdictions, and third parties while ensuring that the content of the interaction and the results are never exposed. Our PETs and homomorphic encryption-powered capabilities deliver an efficient and decentralized data collaboration framework designed to reduce risk and address business challenges including data sharing, monetization, and regulatory compliance. Protecting data while it's being used or processed, the ‘holy grail’ of secure data usage, we deliver the most mature encrypted search, analytic, and machine learning products on the market. Enveil is a pioneering privacy enhancing technology company protecting data in use for secure data usage, sharing, and monetization.
  • 20
    SiaSearch

    SiaSearch

    SiaSearch

    We want ML engineers to worry less about data engineering and focus on what they love, building better models in less time. Our product is a powerful framework that makes it 10x easier and faster for developers to explore, understand and share visual data at scale. Automatically create custom interval attributes using pre-trained extractors or any other model. Visualize data and analyze model performance using custom attributes combined with all common KPIs. Use custom attributes to query, find rare edge cases and curate new training data across your whole data lake. Easily save, edit, version, comment and share frames, sequences or objects with colleagues or 3rd parties. SiaSearch, a data management platform that automatically extracts frame-level, contextual metadata and utilizes it for fast data exploration, selection and evaluation. Automating these tasks with metadata can more than double engineering productivity and remove the bottleneck to building industrial AI.
  • 21
    WANdisco

    WANdisco

    WANdisco

    Since 2010 we have seen Hadoop become an essential part of the data management landscape. Over the decade the majority of organizations have adopted Hadoop to build out their data lake infrastructure. However, while Hadoop offered a cost-effective way to store petabytes of data across a distributed environment, it introduced many complexities. The systems required specialized IT skills and the on-premises environments lacked the flexibility to easily scale the systems up and down as usage demands changed. The management complexity and flexibility challenges associated with on-premises Hadoop environments are much more optimally addressed in the cloud. To minimize the risks and costs associated with these data modernization efforts, many companies have selected to automate their cloud data migration with WANdisco. LiveData Migrator is a fully self-service solution requiring no WANdisco expertise or services.
  • 22
    Promethium

    Promethium

    Promethium

    Promethium helps data and analytics teams work smarter so they can stay ahead of growing data volumes and business needs. Simply connecting to a data warehouse or data lake to get access to raw data is not enough. Datasets require a lot of hard work from data teams! Data Teams aren't growing as fast as data volumes or business demand for data. Promethium helps overloaded data teams work smarter so they can deliver faster. Rely less on ETL, with access data on demand where it lives. Moving less data saves time and money. With Promethium one person can do in minutes what typically takes a team months using 6 or more tools. With a few clicks and without writing code, connect and catalog data sources and create and query cross-source datasets. Less custom code and ETL. Validate data is correct in real-time, not after months of work and ETL. Instantly share work so that it is reused, instead of recreated.
  • 23
    Bluemetrix

    Bluemetrix

    Bluemetrix

    Migrating data to the cloud is difficult. Let us simplify the process for you with Bluemetrix Data Manager (BDM). BDM automates the ingestion of complex data sources and ensures that as your data sources change dynamically, your pipelines configure automatically to match the new data sources. BDM provides the application of automation and processing of data at scale, in a secure modern environment, with smart GUI and API interfaces available. With data governance fully automated, it is now possible to streamline pipeline creation, while recording and storing all actions automatically in your catalogue as the pipeline executes. Easy to create templating, combined with smart scheduling options, enables Self Service capability for data consumers - both business and technical users. A free enterprise-grade data ingestion tool that will automate the ingestion of data smoothly and quickly from on-premise sources into the cloud, while also automating the creation and running of pipelines.
  • 24
    Qlik Data Integration
    The Qlik Data Integration platform for managed data lakes automates the process of providing continuously updated, accurate, and trusted data sets for business analytics. Data engineers have the agility to quickly add new sources and ensure success at every step of the data lake pipeline from real-time data ingestion, to refinement, provisioning, and governance. A simple and universal solution for continually ingesting enterprise data into popular data lakes in real-time. A model-driven approach for quickly designing, building, and managing data lakes on-premises or in the cloud. Deliver a smart enterprise-scale data catalog to securely share all of your derived data sets with business users.
  • 25
    SAS Visual Statistics
    With SAS Visual Statistics, multiple users can explore data, then interactively create and refine predictive models. Your data scientists and statisticians can act on observations at a granular level using the most appropriate analytical modeling techniques. The result? You'll unearth insights at unprecedented speeds, and find new ways to grow revenue. Easily build and refine models to target specific groups or segments, and run numerous scenarios simultaneously. You can ask more what-if questions to get better results. And put results into action with an automatically generated score code. Empower multiple users to interact with data visually – to add or change variables, remove outliers, etc. Instantly see how changes affect your model's predictive power, and make refinements quickly. Data science teams have the ultimate flexibility of working in their language of choice, so they can use their skills to the fullest. SAS Visual Statistics unites all analytical assets.
  • 26
    SAS Viya
    SAS® Viya® data science offerings provide a comprehensive, scalable analytics environment that's quick and easy to deploy, enabling you to meet diverse business needs. Automatically generated insights enable you to identify the most common variables across all models, the most important variables selected across models and assessment results for all models. Natural language generation capabilities are used to create project summaries written in plain language, enabling you to easily interpret reports. Analytics team members can add project notes to the insights report to facilitate communication and collaboration among team members. SAS lets you embed open source code within an analysis and call open source algorithms seamlessly within its environment. This facilitates collaboration across your organization because users can program in their language of choice. You can also take advantage of SAS Deep Learning with Python (DLPy), our open-source package on GitHub.
  • 27
    Panzura

    Panzura

    Panzura

    The explosion of unstructured data has turned your work environment into an unmanageable and expensive data swamp where you can’t find, trust, or easily use the files you need. Panzura changes that by transforming all your storage into the most secure, and easy-to-use cloud data management platform on the planet. – Enable immediate, efficient performance and global data consistency, at scale. – Unlock secure, data access from edge to core to cloud without any performance penalty. – Empower a truly collaborative working experience, anywhere. – Gain true multi-cloud redundancy and data protection with cloud mirroring. Innovation can seem impossible when you’re drowning in data. Panzura simplifies and consolidates your data management, improving access and visibility, empowering collaboration, and letting you drive better outcomes, in less time.
  • 28
    Astra DB

    Astra DB

    DataStax

    Astra DB from DataStax is vector database for developers that need to get accurate Generative AI applications into production, quickly and efficiently. Built on Apache Cassandra, Astra DB is the only vector database that can make vector updates immediately available to applications and scale to the largest real-time data and streaming workloads, securely on any cloud. Astra DB offers unprecedented serverless, pay as you go pricing and the flexibility of multi-cloud and open-source. You can store up to 80GB and/or perform 20 million operations per month. Securely connect to VPC peering and private links. Manage your encryption keys with your own key management and SAML SSO secure account accessibility. You can deploy on AWS, GCP, or Azure while still maintaining open-source Cassandra compatibility.
  • 29
    Astra Streaming
    Responsive applications keep users engaged and developers inspired. Rise to meet these ever-increasing expectations with the DataStax Astra Streaming service platform. DataStax Astra Streaming is a cloud-native messaging and event streaming platform powered by Apache Pulsar. Astra Streaming allows you to build streaming applications on top of an elastically scalable, multi-cloud messaging and event streaming platform. Astra Streaming is powered by Apache Pulsar, the next-generation event streaming platform which provides a unified solution for streaming, queuing, pub/sub, and stream processing. Astra Streaming is a natural complement to Astra DB. Using Astra Streaming, existing Astra DB users can easily build real-time data pipelines into and out of their Astra DB instances. With Astra Streaming, avoid vendor lock-in and deploy on any of the major public clouds (AWS, GCP, Azure) compatible with open-source Apache Pulsar.
  • 30
    Mona

    Mona

    Mona

    Gain complete visibility into the performance of your data, models, and processes with the most flexible monitoring solution. Automatically surface and resolve performance issues within your AI/ML or intelligent automation processes to avoid negative impacts on both your business and customers. Learning how your data, models, and processes perform in the real world is critical to continuously improving your processes. Monitoring is the ‘eyes and ears' needed to observe your data and workflows to tell you if they’re performing well. Mona exhaustively analyzes your data to provide actionable insights based on advanced anomaly detection mechanisms, to alert you before your business KPIs are hurt. Take stock of any part of your production workflows and business processes, including models, pipelines, and business outcomes. Whatever datatype you work with, whether you have a batch or streaming real-time processes, and for the specific way in which you want to measure your performance.