Best Data Management Software for Amazon Web Services (AWS) - Page 11
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Compare the Top Data Management Software that integrates with Amazon Web Services (AWS) as of November 2025 - Page 11
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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.
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SmartScrapers
SmartScrapers
Tap into one of the most reliable web scraping services trusted by over 2900+ enterprises globally. Web scraping enables businesses to take unstructured data on the world wide web and turn it into structured data so that it can be consumed by their applications, providing significant business value. Get access to real estate listings, prices, price changes, historical price trends, agent’s information, property details, sales history, and much more. Data is gathered from thousands of real estate listing sites across the globe. Extract a list of companies, people, email addresses, and phone numbers for a specific industry you work in. Outsource lead generation and focus on nurturing leads. Tap into a pool of hundreds of datasets such as pricing, volume, sentiments, Twitter, StockTwits, news, sentiment, social media, and much more. Leverage the most up-to-date and historical data for publicly traded companies. -
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DigDash
DigDash
Every day, your business generates countless data. Used correctly, this data is invaluable. Aggregated together, this strategic information opens up an ocean of opportunities. Expert in business intelligence, DigDash accompanies you through a reliable solution to simply exploit your data and increase your performance today. From design to deployment, from questions of use to development needs, DigDash is by your side for the long term, in a close relationship. In a desire for continuous improvement, flexibility is at the heart of our DNA. Our software stands out for its ease of use at all levels. The solution is recognized as one of the most powerful on the market. Whatever your operational vision, our tool adapts to your business specificities. Thanks to enlightened real-time visibility on all your activities, from marketing to finance, from sales to HR, your managers are able to make rational decisions at the right time. -
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Metaphor
Metaphor Data
Automatically indexed warehouses, lakes, dashboards, and other pieces of your data stack. Combined with utilization, lineage, and other social popularity signals, Metaphor lets you show the most trusted data to your users. Provide an open 360 view of your data and conversations about data to everyone in the organization. Meet your customers where they are - share artifacts from the catalog including documentation, natively via Slack. Tag insightful Slack conversations and associate them with data. Collaborate across silos by the organic discovery of important terms and usage patterns. Easily discover data across the entire stack, write technical details and Business friendly wiki that is easily consumed by non-technical users. Support your users directly in Slack and use the catalog as a Data Enablement tool to quickly onboard users for a more personalized experience. -
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Amazon DynamoDB is designed for scale and performance. In most cases, the DynamoDB response times can be measured in single-digit milliseconds. However, there are certain use cases that require response times in microseconds. For these use cases, DynamoDB Accelerator (DAX) delivers fast response times for accessing eventually consistent data. DAX reduces operational and application complexity by providing a managed service that is API-compatible with DynamoDB. Therefore, it requires only minimal functional changes to use with an existing application. For read-heavy or bursty workloads, DAX provides increased throughput and potential operational cost savings by reducing the need to overprovision read capacity units. This is especially beneficial for applications that require repeated reads for individual keys.
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Urban SDK
Urban SDK
Urban SDK is an urban data analytics platform that provides State and Local Governments with a transportation information system of record for traffic diagnostics, data management, and compliance tools to share information publicly. Our off-the-shelf traffic analytics software helps engineers, planners, and Public Works officials monitor and report traffic speeds on local roads. Users can quickly view roadway speeds, search for an address, and create traffic speed report. They can do this in 1-2 minutes without a hard count. Our mission is to allow customers to quickly identify issues serious enough to warrant spending time, money, and staff resources it takes to collect additional data. This enables cities to automate data collection, analysis, and estimate improvement costs on all local roads. Cities can save more than $200,000 annually by modernizing traffic data collection and reducing administrative burden with our smart traffic management software. -
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Luna for Apache Cassandra
DataStax
Luna is a subscription to the Apache Cassandra support and expertise at DataStax. It allows you to enjoy all the benefits of open-source Cassandra, with the peace of mind knowing you have direct access to the team that authored the majority of the code and supported some of the largest deployments in the world. Best practices, advice, and SLA-based support to keep your Cassandra deployment in top shape. Scale without compromising on performance or latency to seamlessly manage the most demanding real-time workloads. Create real-time and highly-interactive customer experiences with blisteringly fast read and writes. Luna provides assistance with resolving issues and following best practices with Cassandra clusters. Services provide help through the full application life cycle, with a deeper integration in your team working together on implementation. -
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QueryPie
QueryPie
QueryPie is a centralized platform to manage scattered data sources and security policies all in one place. Put your company on the fast track to success without changing the existing data environment. Data governance is vital to today's data-driven world. Ensure you're on the right side of data governance standards while giving many users access to growing amounts of critical information. Establish data access policies by including key attributes such as IP address and access time. Privilege types can be created based on SQL commands classified as DML, DCL, and DDL to secure data analysis and editing. Manage details of SQL events at a glance and discover user behavior and potential security concerns by browsing logs based on permissions. All histories can be exported as a file and used for reporting purposes. -
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Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes. With SageMaker Data Wrangler, you can simplify the process of data preparation and feature engineering, and complete each step of the data preparation workflow (including data selection, cleansing, exploration, visualization, and processing at scale) from a single visual interface. You can use SQL to select the data you want from a wide variety of data sources and import it quickly. Next, you can use the Data Quality and Insights report to automatically verify data quality and detect anomalies, such as duplicate rows and target leakage. SageMaker Data Wrangler contains over 300 built-in data transformations so you can quickly transform data without writing any code. Once you have completed your data preparation workflow, you can scale it to your full datasets using SageMaker data processing jobs; train, tune, and deploy models.
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Amazon SageMaker JumpStart
Amazon
Amazon SageMaker JumpStart is a machine learning (ML) hub that can help you accelerate your ML journey. With SageMaker JumpStart, you can access built-in algorithms with pretrained models from model hubs, pretrained foundation models to help you perform tasks such as article summarization and image generation, and prebuilt solutions to solve common use cases. In addition, you can share ML artifacts, including ML models and notebooks, within your organization to accelerate ML model building and deployment. SageMaker JumpStart provides hundreds of built-in algorithms with pretrained models from model hubs, including TensorFlow Hub, PyTorch Hub, HuggingFace, and MxNet GluonCV. You can also access built-in algorithms using the SageMaker Python SDK. Built-in algorithms cover common ML tasks, such as data classifications (image, text, tabular) and sentiment analysis. -
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Avalor
Avalor
Avalor’s data fabric helps security teams make faster, more accurate decisions. Our data fabric architecture integrates disparate data sources from legacy systems, data lakes, data warehouses, sql databases, and apps, providing a holistic view of business performance. Automation, 2-way sync, alerts, and analytics live on top of the platform, powered by the data fabric. All security functions benefit from fast, reliable, and precise analysis of enterprise data including asset coverage, compliance reporting, ROSI analysis, vulnerability management, and more. The average security team uses dozens of specialized tools and products, each with its own purpose, taxonomy, and output. With so much disparate data, it’s hard to prioritize your efforts and know exactly where issues lie. Quickly and accurately respond to questions from the business using data from across your organization. -
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Bobsled
Bobsled
Deliver data into your consumer’s cloud data lake or warehouse—without ever leaving your own. Connect Bobsled to your source, pick the bucket or warehouse where you want the data to go—and Bobsled handles the rest. No accounts to manage or pipelines to build.Bobsled is built on each platform’s sharing protocol to bring data providers the security and ease of modern sharing without the pain and complexity of multi-cloud management. Data integration accounts for 70% of the time teams spend with external datasets. Empower your customers to get to analysis faster by sharing ready-to-query data directly into the platforms where they work. Track and manage every share from one interface. Initiate shares, automate transfers, resolve errors, and monitor usage. -
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Mimic
Facteus
Advanced technology and services to safely transform and enhance sensitive data into actionable insights, help drive innovation, and open new revenue streams. Using the Mimic synthetic data engine, companies can safely synthesize their data assets, protecting consumer privacy information from being exposed, while still maintaining the statistical relevancy of the data. The synthetic data can then be used for internal initiatives like analytics, machine learning and AI, marketing and segmentation activities, and new revenue streams through external data monetization. Mimic enables you to safely move statistically-relevant synthetic data to the cloud ecosystem of your choice to get the most out of your data. Analytics, insights, product development, testing, and third-party data sharing can all be done in the cloud with the enhanced synthetic data, which has been certified to be compliant with regulatory and privacy laws. -
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Anyverse
Anyverse
A flexible and accurate synthetic data generation platform. Craft the data you need for your perception system in minutes. Design scenarios for your use case with endless variations. Generate your datasets in the cloud. Anyverse offers a scalable synthetic data software platform to design, train, validate, or fine-tune your perception system. It provides unparalleled computing power in the cloud to generate all the data you need in a fraction of the time and cost compared with other real-world data workflows. Anyverse provides a modular platform that enables efficient scene definition and dataset production. Anyverse™ Studio is a standalone graphical interface application that manages all Anyverse functions, including scenario definition, variability settings, asset behaviors, dataset settings, and inspection. Data is stored in the cloud, and the Anyverse cloud engine is responsible for final scene generation, simulation, and rendering. -
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Rendered.ai
Rendered.ai
Overcome challenges in acquiring data for machine learning and AI systems training. Rendered.ai is a PaaS designed for data scientists, engineers, and developers. Generate synthetic datasets for ML/AI training and validation. Experiment with sensor models, scene content, and post-processing effects. Characterize and catalog real and synthetic datasets. Download or move data to your own cloud repositories for processing and training. Power innovation and increase productivity with synthetic data as a capability. Build custom pipelines to model diverse sensors and computer vision inputs. Start quickly with free, customizable Python sample code to model SAR, RGB satellite imagery, and more sensor types. Experiment and iterate with flexible licensing that enables nearly unlimited content generation. Create labeled content rapidly in a hosted, high-performance computing environment. Enable collaboration between data scientists and data engineers with a no-code configuration experience. -
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DataGalaxy
DataGalaxy
DataGalaxy is a next-generation data governance and intelligence platform designed to help organizations manage, understand, and maximize the value of their data. Built around a unified interface, it empowers everyone—from executives to data consumers—to collaborate seamlessly across data assets, strategies, and analytics. The platform’s automated data catalog, governance hub, and AI co-pilot reduce manual work while ensuring compliance and data quality across systems. With over 70+ integrations, including Snowflake, Databricks, Power BI, and AWS, DataGalaxy connects your data ecosystem into a single source of truth. Its value tracking center and strategy cockpit align data initiatives with business goals, driving measurable outcomes and enterprise-wide visibility. Loved by users, DataGalaxy turns governance into a strategic advantage for the modern enterprise. -
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Vaex
Vaex
At Vaex.io we aim to democratize big data and make it available to anyone, on any machine, at any scale. Cut development time by 80%, your prototype is your solution. Create automatic pipelines for any model. Empower your data scientists. Turn any laptop into a big data powerhouse, no clusters, no engineers. We provide reliable and fast data driven solutions. With our state-of-the-art technology we build and deploy machine learning models faster than anyone on the market. Turn your data scientist into big data engineers. We provide comprehensive training of your employees, enabling you to take full advantage of our technology. Combines memory mapping, a sophisticated expression system, and fast out-of-core algorithms. Efficiently visualize and explore big datasets, and build machine learning models on a single machine. -
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Demyst
Demyst
External data is the next frontier of business impact, powering competitive advantages across industries, but businesses struggle with the complexity of implementation. Demyst provides the end-to-end tools you need to discover, onboard, and ingest the right external data, with our experts working closely with you every step of the way. Browse and instantly deploy the right data from Demyst’s catalog of data sources, or our expert team will recommend and onboard something new for you from any external data provider around the globe. Demyst's data provider certification program means we procure and diligence data for your use, all covered under our contract. Demyst removes the "compliance versus speed" trade-off, performing ongoing legal, privacy and security due diligence for your safe and compliant data access, whilst typically onboarding new data in 4 weeks or less. Demyst performs the last mile. Deploy and monitor the data you need with consistently formatted APIs or files. -
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Polar Security
Polar Security
Automate data discovery, protection & governance in your cloud workload and SaaS applications. Automatically pinpoint all your exposed sensitive data in cloud workloads and SaaS applications, allowing you to shrink the data attack surface. Identify and classify sensitive data such as PII, PHI, PCI, and custom company IP to prevent sensitive data exposure. Get actionable insights on how to protect your cloud data and ensure compliance, in real-time. Enforce data access policies to achieve least privileged access, maintain a strong security posture, and remain resilient to cyber-threats. -
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APERIO DataWise
APERIO
Data is used in every aspect of a processing plant or facility, it is underlying most operational processes, most business decisions, and most environmental events. Failures are often attributed to this same data, in terms of operator error, bad sensors, safety or environmental events, or poor analytics. This is where APERIO can alleviate these problems. Data integrity is a key element of Industry 4.0; the foundation upon which more advanced applications, such as predictive models, process optimization, and custom AI tools are developed. APERIO DataWise is the industry-leading provider of reliable, trusted data. Automate the quality of your PI data or digital twins continuously and at scale. Ensure validated data across the enterprise to improve asset reliability. Empower the operator to make better decisions. Detect threats made to operational data to ensure operational resilience. Accurately monitor & report sustainability metrics. -
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Source Medium
Source Medium
Source Medium’s advanced data infrastructure and reporting provides a single source of truth, facilitating decision-making amid expanding complexities. Our automated data movement technology extracts, stores, and moves data to your own desired destinations. Our proprietary data transformation process is specifically engineered for omnichannel businesses. It’s why our data is the most trusted in the industry. Our pre-built data models improve data reliability by streamlining data preparation, aggregation and enrichment. Our platform normalizes, aggregates and validates your omnichannel data. We’re able to reconcile disparities, test for missing entries in data, append crucial details to datasets and unify disparate reports from various channels. -
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Celantur
Celantur
Automatically anonymize faces, license plates, bodies, and vehicles, easy to use and integrate on all platforms. Solve privacy challenges for a wide range of commercial and industrial use cases. Global industry leaders put trust in our products and expertise. We are solving anonymization challenges, so you can focus on your core business. Our team is on your side, helping you on your privacy journey. Data Protection is our core business, and that's why we have strong measures in place to comply with the GDPR and other data protection laws. You can use our cloud service, where all the processing is done on our infrastructure. Or use our Docker container to deploy it on-premise or in your private/public cloud environment. We charge a fee per image or video hour, and you can create a demo account and test it for free. Blur faces, license plates, persons and vehicles on images in seconds with a simple REST call. -
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SecuPi
SecuPi
SecuPi provides an overarching data-centric security platform, delivering fine-grained access control (ABAC), Database Activity Monitoring (DAM) and de-identification using FPE encryption, physical and dynamic masking and deletion (RTBF). SecuPi offers wide coverage across packaged and home-grown applications, direct access tools, big data, and cloud environments. One data security platform for monitoring, controlling, encrypting, and classifying data across all cloud & on-prem platforms seamlessly with no code changes. Agile and efficient configurable platform to meet current & future regulatory and audit requirements. No source-code changes with fast & cost-efficient implementation. SecuPi’s fine-grain data access controls protect sensitive data so users get access only to data they are entitled to view, and no more. Seamlessly integrate with Starburst/Trino for automated enforcement of data access policies and data protection operations. -
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Qualdo
Qualdo
We are a leader in Data Quality & ML Model for enterprises adopting a multi-cloud, ML and modern data management ecosystem. Algorithms to track Data Anomalies in Azure, GCP & AWS databases. Measure and monitor data issues from all your cloud database management tools and data silos, using a single, centralized tool. Quality is in the eye of the beholder. Data issues have different implications depending on where you sit in the enterprise. Qualdo is a pioneer in organizing all data quality management issues through the lens of multiple enterprise stakeholders, presenting a unified view in a consumable format. Deploy powerful auto-resolution algorithms to track and isolate critical data issues. Take advantage of robust reports and alerts to manage your enterprise regulatory compliance. -
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LightBeam.ai
LightBeam.ai
Discover within minutes if sensitive information lurks in places you never expected (screenshots, logs, tickets, messages, tables). With one click, LightBeam can easily generate executive or delta reports to gain valuable insights into your sensitive data. Automate DSRs leveraging LightBeam's unique PII/PHI graphs comprehensively created from your data infrastructure. Build trust with your users by empowering them to exercise control over their data collection. Continuously monitor how sensitive data is collected, used, shared, and maintained with appropriate safeguards within your organization. -
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Bedrock Security
Bedrock Security
At Bedrock Security, frictionless data security means freedom to embrace cloud and AI data growth safely, without slowing your business down. Start your data security journey, and confidently move beyond just visibility. Understand your material data with AI reasoning and ensure cloud and GenAI compliance controls are enforced with out-of-the-box compliance frameworks. Your data isn’t static, it’s growing, changing, and moving, making it critical for you to perform security assessments continuously. Efficiently manage remediation and response, integrating behavior-based anomaly detection, SIEM/SOAR integration, policy enforcement, and prioritization based on data context. Mature security programs can frictionlessly enable business operations while effectively managing risk to the brand, revenue, and reputation of the organization. Bedrock’s AIR helps organizations with data minimization, identity and access minimization, and data hardening. -
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Velotix
Velotix
Velotix empowers organizations to maximize the value of their data while ensuring security and compliance in a rapidly evolving regulatory landscape. The Velotix Data Security Platform offers automated policy management, dynamic access controls, and comprehensive data discovery, all driven by advanced AI. With seamless integration across multi-cloud environments, Velotix enables secure, self-service data access, optimizing data utilization without compromising on governance. Trusted by leading enterprises across financial services, healthcare, telecommunications, and more, Velotix is reshaping data governance for the ‘need to share’ era. -
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Datablast
Datablast
Dive into a world where data complexities are simplified. As businesses grow, so does the complexity and volume of their data. Our solution ensures that this growth doesn't lead to chaos. By implementing a scalable metrics architecture, we ensure that you can handle increasing data loads without compromising on precision or efficiency. Our integrated platform not only consolidates data but also ensures that it's processed and presented in a way that's easy to understand, analyze, and act upon. Data pipeline automation is not just about moving data from one point to another; it's about doing so in the most efficient and effective manner. Our solutions are designed to automate repetitive tasks, reduce errors, and ensure that data flows seamlessly through your systems. Data, in its raw form, can be overwhelming. But with the right tools, it can tell a compelling story. Our data visualization tools are designed to transform complex datasets into clear, intuitive visuals. -
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Ingext
Ingext
Ingext makes real-time transformation, analysis, metrics, and alerting a feature of data collection. This means that data coming into an SIEM or APM is ready for use, reducing complexity and delay while addressing stoppage and congestion. The ability to run an infrastructure is a continuous flow of data that can be consumed. Ingext focuses on making data operational available as it becomes available. Get started quickly using the AWS marketplace to start your trial. Connecting to your data simply and securely is a tenant of Ingext. Part of getting data into your systems is to get it there in a form that is easily understood. Processing transforms, enriches, and error-checks your data. Connecting streaming processing to data sources and data destinations, which we call sinks, is done independently from the processing. Making things clear and easy to debug. Processing transforms, enriches, and error-checks your data. -
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UBIX
UBIX
Ubiquitous real-time business decisions without the need for specialized tools and resources. UBIX is a pioneer at the intersection of generative AI and reinforcement learning driving business-led actionable insights and automation. Our patented no-code SaaS platform contextualizes and presents data from inside and outside the enterprise in minutes, not days, ensuring AI and ML innovation transformation. Improve daily decisions that impact productivity, waste, compliance, growth, and profitability. Get the right data to the right business leader at the right time in the right format. In just 5 steps and a couple of days, you can AI-enable your enterprise. Enhance business intelligence initiatives and free data scientists to innovate rather than serve reports. Artificial intelligence is no longer reserved for large organizations and technical teams, it’s for everyone at organizations of all sizes. UBIX makes artificial intelligence and advanced analytics available to everyone. -
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e6data
e6data
Limited competition due to deep barriers to entry, specialized know-how, massive capital needs, and long time-to-market. Existing platforms are indistinguishable in price, and performance reducing the incentive to switch. Migrating from one engine’s SQL dialect to another engine’s SQL involves months of effort. Truly format-neutral computing, interoperable with all major open standards. Enterprise data leaders are hit by an unprecedented explosion in computing demand for data intelligence. They are surprised to find that 10% of their heavy, compute-intensive use cases consume 80% of the cost, engineering effort and stakeholder complaints. Unfortunately, such workloads are also mission-critical and non-discretionary. e6data amplifies ROI on enterprises' existing data platforms and architecture. e6data’s truly format-neutral compute has the unique distinction of being equally efficient and performant across leading data lakehouse table formats.
