Best Data Management Software for Amazon Web Services (AWS) - Page 9

Compare the Top Data Management Software that integrates with Amazon Web Services (AWS) as of November 2025 - Page 9

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
    Elucidata Polly
    Harness the power of biomedical data with Polly. The Polly Platform helps to scale batch jobs, workflows, coding environments and visualization applications. Polly allows resource pooling and provides optimal resource allocation based on your usage requirements and makes use of spot instances whenever possible. All this leads to optimization, efficiency, faster response time and lower costs for the resources. Get access to a dashboard to monitor resource usage and cost real time and minimize overhead of resource management by your IT team. Version control is integral to Polly’s infrastructure. Polly ensures version control for your workflows and analyses through a combination of dockers and interactive notebooks. We have built a mechanism that allows the data, code and the environment co-exist. This coupled with data storage on the cloud and the ability to share projects ensures reproducibility of every analysis you perform.
  • 2
    AnzoGraph DB

    AnzoGraph DB

    Cambridge Semantics

    With a huge collection of analytical features, AnzoGraph DB can enhance your analytical framework. Watch this video to learn how AnzoGraph DB is a Massively Parallel Processing (MPP) native graph database that is built for data harmonization and analytics. Horizontally scalable graph database built for online analytics and data harmonization. Take on data harmonization and linked data challenges with AnzoGraph DB, a market-leading analytical graph database. AnzoGraph DB provides industrialized online performance for enterprise-scale graph applications. AnzoGraph DB uses familiar SPARQL*/OWL for semantic graphs but also supports Labeled Property Graphs (LPGs). Access to many analytical, machine learning and data science capabilities help you achieve new insights, delivered at unparalleled speed and scale. Use context and relationships between data as first-class citizens in your analysis. Ultra-fast data loading and analytical queries.
  • 3
    TIBCO Graph Database
    To unveil the true value of constantly evolving business data, you need to understand the relationships in data in a much more profound way. Unlike other databases, a graph database puts relationships at the forefront, using Graph theory and Linear Algebra to traverse and show how complex data webs, data sources, and data points relate. TIBCO® Graph Database allows you to discover, store, and convert complex dynamic data into meaningful insights. Enable users to rapidly build data and computational models that establish dynamic relationships among organizational silos. These knowledge graphs deliver value by connecting your organization’s vast array of data and revealing relationships that let you accelerate optimization of assets and processes. Combined OLTP and OLAP features in a single enterprise-grade database. Optimistic ACID level transaction properties with native storage and access.
  • 4
    Vendia

    Vendia

    Vendia

    Vendia is a SaaS service that makes it easy for companies and organizations to share code and data across clouds, regions, accounts, and technology stacks. Vendia helps enterprises share code and data across companies, clouds, accounts, regions, and technology stacks. Vendia's unique architecture offers a distributed data model that goes everywhere you need it to, and its serverless design enables it to scale seamlessly. Vendia helps businesses create a complete portrait of their data, for example to track and trace items in a supply chain. Often that information spans business parties, such as suppliers, logistics, affiliates, and others. These might be different legal entities, different departments within the same enterprise, or even the same department but divided by their adoption of different public cloud services, such as one using AWS and another using Azure.
  • 5
    Kylo

    Kylo

    Teradata

    Kylo is an open source enterprise-ready data lake management software platform for self-service data ingest and data preparation with integrated metadata management, governance, security and best practices inspired by Think Big's 150+ big data implementation projects. Self-service data ingest with data cleansing, validation, and automatic profiling. Wrangle data with visual sql and an interactive transform through a simple user interface. Search and explore data and metadata, view lineage, and profile statistics. Monitor health of feeds and services in the data lake. Track SLAs and troubleshoot performance. Design batch or streaming pipeline templates in Apache NiFi and register with Kylo to enable user self-service. Organizations can expend significant engineering effort moving data into Hadoop yet struggle to maintain governance and data quality. Kylo dramatically simplifies data ingest by shifting ingest to data owners through a simple guided UI.
  • 6
    Tokern

    Tokern

    Tokern

    Open source data governance suite for databases and data lakes. Tokern is a simple to use toolkit to collect, organize and analyze data lake's metadata. Run as a command-line app for quick tasks. Run as a service for continuous collection of metadata. Analyze lineage, access control and PII datasets using reporting dashboards or programmatically in Jupyter notebooks. Tokern is an open source data governance suite for databases and data lakes. Improve ROI of your data, comply with regulations like HIPAA, CCPA and GDPR and protect critical data from insider threats with confidence. Centralized metadata management of users, datasets and jobs. Powers other data governance features. Track Column Level Data Lineage for Snowflake, AWS Redshift and BigQuery. Build lineage from query history or ETL scripts. Explore lineage using interactive graphs or programmatically using APIs or SDKs.
  • 7
    Apache Atlas

    Apache Atlas

    Apache Software Foundation

    Atlas is a scalable and extensible set of core foundational governance services – enabling enterprises to effectively and efficiently meet their compliance requirements within Hadoop and allows integration with the whole enterprise data ecosystem. Apache Atlas provides open metadata management and governance capabilities for organizations to build a catalog of their data assets, classify and govern these assets and provide collaboration capabilities around these data assets for data scientists, analysts and the data governance team. Pre-defined types for various Hadoop and non-Hadoop metadata. Ability to define new types for the metadata to be managed. Types can have primitive attributes, complex attributes, object references; can inherit from other types. Instances of types, called entities, capture metadata object details and their relationships. REST APIs to work with types and instances allow easier integration.
  • 8
    Privacera

    Privacera

    Privacera

    At the intersection of data governance, privacy, and security, Privacera’s unified data access governance platform maximizes the value of data by providing secure data access control and governance across hybrid- and multi-cloud environments. The hybrid platform centralizes access and natively enforces policies across multiple cloud services—AWS, Azure, Google Cloud, Databricks, Snowflake, Starburst and more—to democratize trusted data enterprise-wide without compromising compliance with regulations such as GDPR, CCPA, LGPD, or HIPAA. Trusted by Fortune 500 customers across finance, insurance, retail, healthcare, media, public and the federal sector, Privacera is the industry’s leading data access governance platform that delivers unmatched scalability, elasticity, and performance. Headquartered in Fremont, California, Privacera was founded in 2016 to manage cloud data privacy and security by the creators of Apache Ranger™ and Apache Atlas™.
  • 9
    Talend Data Preparation
    Quickly prepare data for trusted insights throughout the organization. Data and business analysts spend too much time cleaning data instead of analyzing it. Talend Data Preparation provides a self-service, browser-based, point-and-click tool to quickly identify errors and apply rules that you can easily reuse and share, even across massive data sets. Our intuitive UI and self-service data preparation and curation functionality make it possible for anyone to do data profiling, cleansing, and enriching in real time. Users can share preparations and curated datasets, and embed data preparations into batch, bulk, and live data integration scenarios. Talend lets you turn ad-hoc data enrichment and analysis jobs into fully managed, reusable processes. Operationalize data preparation from virtually any data source, including Teradata, AWS, Salesforce, and Marketo, always using the latest datasets. Talend Data Preparation puts data governance in your hands.
  • 10
    Zaloni Arena
    End-to-end DataOps built on an agile platform that improves and safeguards your data assets. Arena is the premier augmented data management platform. Our active data catalog enables self-service data enrichment and consumption to quickly control complex data environments. Customizable workflows that increase the accuracy and reliability of every data set. Use machine-learning to identify and align master data assets for better data decisioning. Complete lineage with detailed visualizations alongside masking and tokenization for superior security. We make data management easy. Arena catalogs your data, wherever it is and our extensible connections enable analytics to happen across your preferred tools. Conquer data sprawl challenges: Our software drives business and analytics success while providing the controls and extensibility needed across today’s decentralized, multi-cloud data complexity.
  • 11
    Assure Security
    Assure Compliance Monitoring is a bundle of Assure Security features. Together, they can quickly identify security and compliance issues by producing alerts and reports on IBM i system activity, database changes and views of Db2 data. The bundle includes two features which are also available separately. Assure Monitoring and Reporting seamlessly extracts insights from IBM i journal data and delivers alerts and reports on security incidents and compliance deviations. System and database monitoring capabilities are available separately or together. Or, choose to send data directly to your enterprise SIEM solution allowing IBM i security to be monitored with all other enterprise platforms. Assure Db2 Data Monitor is a unique, innovative solution that monitors views of highly confidential Db2 data and optionally blocks records from view. Assure Security delivers market-leading IBM i security capabilities that help your organization successfully comply with cybersecurity regulations.
  • 12
    Okera

    Okera

    Okera

    Okera, the Universal Data Authorization company, helps modern, data-driven enterprises accelerate innovation, minimize data security risks, and demonstrate regulatory compliance. The Okera Dynamic Access Platform automatically enforces universal fine-grained access control policies. This allows employees, customers, and partners to use data responsibly, while protecting them from inappropriately accessing data that is confidential, personally identifiable, or regulated. Okera’s robust audit capabilities and data usage intelligence deliver the real-time and historical information that data security, compliance, and data delivery teams need to respond quickly to incidents, optimize processes, and analyze the performance of enterprise data initiatives. Okera began development in 2016 and now dynamically authorizes access to hundreds of petabytes of sensitive data for the world’s most demanding F100 companies and regulatory agencies. The company is headquartered in San Francisco.
  • 13
    IBM Netezza Performance Server
    100% compatible with Netezza. Single command-line upgrade path. Available on premises, on cloud or hybrid. IBM® Netezza® Performance Server for IBM Cloud Pak® for Data is an advanced data warehouse and analytics platform available both on premises and on cloud. With enhancements to in-database analytics capabilities, this next generation of Netezza enables you to do data science and machine learning with data volumes scaling into the petabytes. Failure detection and fast failure recovery. Single command-line upgrade to existing systems. Ability to query many systems as one. Choose the data center or availability zone closest to you, set the number of compute units and amount of storage required to run, and go. IBM® Netezza® Performance Server for IBM Cloud Pak® for Data is available on IBM Cloud®, Amazon Web Services (AWS) and Microsoft Azure. Deployable on a private cloud, Netezza is powered by IBM Cloud Pak for Data System.
  • 14
    Acceldata

    Acceldata

    Acceldata

    Acceldata is an Agentic Data Management company helping enterprises manage complex data systems with AI-powered automation. Its unified platform brings together data quality, governance, lineage, and infrastructure monitoring to deliver trusted, actionable insights across the business. Acceldata’s Agentic Data Management platform uses intelligent AI agents to detect, understand, and resolve data issues in real time. Designed for modern data environments, it replaces fragmented tools with a self-learning system that ensures data is accurate, governed, and ready for AI and analytics.
  • 15
    Odaseva

    Odaseva

    Odaseva

    The Odaseva platform is designed to help large-scale Salesforce customers excel at all three disciplines of Salesforce data management. Keep customer data secure, intact, and available with the most powerful backup and archiving tools. Take full control over your data lifecycle and solve privacy compliance issues at the root. Move data between production and non-production environments, to sandboxes, and outside Salesforce. You can’t manage what you can’t see. Odaseva Advanced Analytics give you total visibility into what’s happening with your data. Track big-picture trends like API consumption and data storage while monitoring everything happening on the Odaseva platform, all the way down to a single record restore.
  • 16
    NEMESIS

    NEMESIS

    Aviana

    NEMESIS: Next-generation AI-powered anomaly detection technology designed to recognize fraud and waste. NEMESIS: Next-generation AI-powered anomaly detection technology pinpoints efficiency opportunities in your business management systems. Powered by AI, NEMESIS is an enterprise-ready configurable business solution platform, empowering business analysts to swiftly transform data into actionable insights. Allow the power of AI to solve your problems of overstaffing, medical errors, quality of care, and claims fraud. Benefit from NEMESIS’s uninterrupted process monitoring, unearthing a wide range of risk elements, from predicting quality issues to waste and abuse. Employ machine learning and AI to detect fraud and fraud schemes before they drain your finances. Exercise more robust controls over expenses and budget deviations, through continuous visibility of waste and abuse.
  • 17
    Flatly

    Flatly

    Flatly

    Sync data to flat files and sheets.
    Starting Price: $ 49 per user per month
  • 18
    Metomic

    Metomic

    Metomic

    Reduce the risk of a data breach and automate necessary security practises, so you can spend time growing your business. Accurately identify sensitive data across all of your cloud apps and infrastructure, so you know precisely where it is, and who has access to it. Precisely control sensitive data across thousands of locations. Block data being uploaded to the wrong place, and automatically delete it when it's no longer needed. Put compliance on autopilot, with no added risk. Use Metomic's off-the-shelf data classifiers or create your own using our no-code data classifier builder. Create your own data-driven workflows from any app using our Webhooks or Query API. Metomic's secure architecture helps you eliminate your security risks, without adding new ones. Leverage Metomic's pre-built app integrations to gain visibility into data flows from day one. Explore your surface area of security risks and control what data is being processed where.
  • 19
    Secuvy AI
    Secuvy is a next-generation cloud platform to automate data security, privacy compliance and governance via AI-driven workflows. Best in class data intelligence especially for unstructured data. Secuvy is a next-generation cloud platform to automate data security, privacy compliance and governance via ai-driven workflows. Best in class data intelligence especially for unstructured data. Automated data discovery, customizable subject access requests, user validations, data maps & workflows for privacy regulations such as ccpa, gdpr, lgpd, pipeda and other global privacy laws. Data intelligence to find sensitive and privacy information across multiple data stores at rest and in motion. In a world where data is growing exponentially, our mission is to help organizations to protect their brand, automate processes, and improve trust with customers. With ever-expanding data sprawls we wish to reduce human efforts, costs & errors for handling Sensitive Data.
  • 20
    OPAQUE

    OPAQUE

    OPAQUE Systems

    OPAQUE Systems offers a leading confidential AI platform that enables organizations to securely run AI, machine learning, and analytics workflows on sensitive data without compromising privacy or compliance. Their technology allows enterprises to unleash AI innovation risk-free by leveraging confidential computing and cryptographic verification, ensuring data sovereignty and regulatory adherence. OPAQUE integrates seamlessly into existing AI stacks via APIs, notebooks, and no-code solutions, eliminating the need for costly infrastructure changes. The platform provides verifiable audit trails and attestation for complete transparency and governance. Customers like Ant Financial have benefited by using previously inaccessible data to improve credit risk models. With OPAQUE, companies accelerate AI adoption while maintaining uncompromising security and control.
  • 21
    lakeFS

    lakeFS

    Treeverse

    lakeFS enables you to manage your data lake the way you manage your code. Run parallel pipelines for experimentation and CI/CD for your data. Simplifying the lives of engineers, data scientists and analysts who are transforming the world with data. lakeFS is an open source platform that delivers resilience and manageability to object-storage based data lakes. With lakeFS you can build repeatable, atomic and versioned data lake operations, from complex ETL jobs to data science and analytics. lakeFS supports AWS S3, Azure Blob Storage and Google Cloud Storage (GCS) as its underlying storage service. It is API compatible with S3 and works seamlessly with all modern data frameworks such as Spark, Hive, AWS Athena, Presto, etc. lakeFS provides a Git-like branching and committing model that scales to exabytes of data by utilizing S3, GCS, or Azure Blob for storage.
  • 22
    Foghub

    Foghub

    Foghub

    Simplified IT/OT Integration, Data Engineering & Real-Time Edge Intelligence. Easy to use, cross-platform, open architecture, edge computing for industrial time-series data. Foghub offers the Critical-Path to IT/OT convergence, connecting Operations (Sensors, Devices, and Systems) with Business (People, Processes, and Applications), enabling automated data acquisition, data engineering, transformations, advanced analytics and ML. Handle large variety, volume, and velocity of industrial data with out-of-the-box support for all data types, most popular industrial network protocols, OT/lab systems, and databases. Easily automate the collection of data about your production runs, batches, parts, cycle-times, process parameters, asset condition, performance, health, utilities, consumables as well as operators and their performance. Designed for scale, Foghub offers a comprehensive set of capabilities to handle large volumes and velocity of data.
  • 23
    Io-Tahoe

    Io-Tahoe

    Io-Tahoe

    Thinking data automation 'first' enables your company to move faster and more effectively to making digital transformation a reality in the enterprise. Data Automation helps you serve customers better. It enables you to operate more efficiently. It unburdens your employees from mundane, repetitive work, allowing them to focus on solving problems and creating value. Accelerate data projects by enabling non-IT resources and data experts to consolidate, categorize,and master data. Power digital transformations by automating a significant portion of data management through human-guided machine learning. Increase the velocity of business outcomes with complete, accurate data curated automatically for data visualization tools and analytic insights. It works with your company’s core systems and existing applications, and automates data management, communication and response triggering. Once in place, Data Automation by Io-Tahoe delivers repetitive, high-volume data tasks efficiently.
  • 24
    Magnitude Angles
    Empower your business to answer the questions that matter most with self-service operational analytics and ready-to-run business reports across core processes. What if there was a way to really understand what’s going on in your organization? A way to not only report on events, but to react in real time to insights surfaced from deep within your supply chain, finance, manufacturing and distribution processes? Change the way you respond to the ever-shifting business landscape. Magnitude Angles helps you uncover insights previously locked deep in your SAP or Oracle ERP system and streamlines the data analysis process. Traditional BI tools understand rows, tables, and columns, but they have no concept of materials, orders, or cash. Angles is built on top of a context-aware, process-rich business data model that translates complex ERP data architectures into self-service business analytics, putting data closer to decision and helping turn data into insight, and insight into action.
  • 25
    Talend Data Integration
    Talend Data Integration lets you connect and manage all your data, no matter where it lives. Use more than 1,000 connectors and components to connect virtually any data source with virtually any data environment, in the cloud or on premises. Easily develop and deploy reusable data pipelines with a drag-and-drop interface that’s 10 times faster than hand-coding. Talend has always supported scaling massive data sets to advanced data analytics or Spark platforms. We also partner with leading cloud service providers, data warehouses, and analytics platforms, including Amazon Web Services, Microsoft Azure, Google Cloud Platform, Snowflake, and Databricks. With Talend, data quality is embedded into every step of the data integration processes. Discover, highlight, and fix issues as data moves through your systems, before inconsistencies can disrupt or impact crucial decisions. Connect to data where it lives, use it where you need it.
  • 26
    Amundsen

    Amundsen

    Amundsen

    Discover & trust data for your analysis and models. Be more productive by breaking silos. Get immediate context into the data and see how others are using it. Search for data within your organization by a simple text search. A PageRank-inspired search algorithm recommends results based on names, descriptions, tags, and querying/viewing activity on the table/dashboard. Build trust in data using automated and curated metadata, descriptions of tables and columns, other frequent users, when the table was last updated, statistics, a preview of the data if permitted, etc. Easy triage by linking the ETL job and code that generated the data. Update tables and columns with descriptions, reduce unnecessary back and forth about which table to use and what a column contains. See what data fellow co-workers frequently use, own or have bookmarked. Learn what most common queries for a table look like by seeing dashboards built on a given table.
  • 27
    Brainwave GRC

    Brainwave GRC

    Radiant Logic

    Brainwave is reinventing the way you analyze your user accesses! You will now be able to thoroughly analyze access risk thanks to a new user interface, predictive controls and risk-scoring functionality. With Autonomous Identity, you can engage your teams and improve their efficiency with a market-approved, ergonomic tool that accelerates your identity management program (IGA). Enable the business to review and make decisions about access to shared files and folders. Inventory, classify, review access and demonstrate compliance regardless of the location, file servers, NAS, Sharepoint, Office 365 and others. Our core product, Brainwave Identity GRC, provides a wealth of analytical capabilities to leverage the inventory of all access. Obtain full visibility at all time, on all resources. Brainwave’s inventory constitutes an entitlement catalog across infrastructure, business applications and data access.
  • 28
    Infinidat Elastic Data Fabric
    The consumer datasphere’s huge growth over the past decade is now being overshadowed by exponential growth rates in business data. This presents unprecedented opportunities and challenges for enterprises and cloud service providers, requiring a fundamentally new approach to building and scaling storage infrastructure. Infinidat Elastic Data Fabric is our vision for the evolution of enterprise storage from traditional hardware appliances into elastic data center-scale pools of high-performance, highly reliable, low-cost digital storage with seamless data mobility within the data center and the public cloud. Today, enterprise technologists in every industry are facing a similar dilemma, thanks to the tsunami of digital transformation. Traditional hardware-based storage arrays are expensive, hard to manage, and orders of magnitude too small for the coming data age. They must, therefore, evolve into something new: softwaredefined on-premises enterprise storage clouds.
  • 29
    Peak

    Peak

    Peak

    A new decision intelligence system, putting AI in the hands of commercial leaders to drive great decision making. CODI, our Connected Decision Intelligence system, has been engineered by Peak to become a layer of intelligence that sits between your other systems, unleashing the power of your data for the first time. CODI enables you to quickly deploy AI solutions, harnessing the true potential of your data thanks to its unique full-stack features. It allows data science and data engineering teams to take full control of every aspect of building and deploying AI solutions, at speed and at scale. With CODI, AI projects move beyond being just experiments and become fully-deployed solutions that deliver real world value and results. Built on enterprise-grade infrastructure, CODI is capable of handling data at scale, and seamlessly integrates into existing tech stacks. Surface more insight and combine data from across your organization.
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    DobiMigrate

    DobiMigrate

    DobiMigrate

    DobiMigrate® is trusted to deliver in the most complex and demanding environments and proven to meet any company's ROI and data integrity objectives for migration to new storage or the cloud. Set up quickly and manage easily with an intuitive interface. Rely on years of experience and thousands of projects completed. Be assured by verifiable proof of 100% accurate data migration. Migrate as little or as much as needed on a flexible license model. Supports all major storage platforms and thousands of configurations eliminating any vendor lock-in. Achieve the promised ROI of the new storage or cloud with minimal disruption. Datadobi, the global leader in unstructured data management software, enables enterprises to realize the value of their expanding universe of data. Datadobi helps customers to migrate and protect data while discovering insights and putting them to work for their business.