Best Data Management Software for Amazon Web Services (AWS) - Page 13

Amazon DynamoDB is engineered for both scalability and high performance. Typically, the response times for DynamoDB are recorded in single-digit milliseconds, making it suitable for many applications. Nonetheless, specific scenarios demand even faster response times, measured in microseconds. To address these needs, DynamoDB Accelerator (DAX) offers rapid access to eventually consistent data. DAX simplifies operational and application complexities by providing a fully managed service that remains API-compatible with DynamoDB, thus requiring only minor adjustments for integration with existing applications. Additionally, for workloads that are read-heavy or experience sudden spikes in demand, DAX enhances throughput and can lead to operational cost reductions by minimizing the necessity for overprovisioning read capacity units. This is particularly advantageous for applications that frequently read the same individual keys, ensuring efficiency and performance. By implementing DAX, organizations can achieve optimal performance without compromising on scalability.

Data-driven optimization for real world problems. We index data from the real world and transform it into intelligence for your use. GIS data, visualization studio, insights management. Prescriptive data analysis, visualization, BI tools. To create visually engaging stories, upload, layer, and filter data. You can enrich your data with precise location and POI insight. You can save on bandwidth and cost. All your data management, enrichment, BI, mapping, performance measurements, and data management are all in one platform. You always have one source of truth with all your data, insights and maps in one workspace. Reports that meet federal compliance standards can be created and published. Optimize site monitoring and site selection data using traffic, visits, trips and population weather. Deliver reliable insights faster to meet your clients' innovation requirements. Learn about voting patterns, demographics and turnout.

Luna offers a subscription service for Apache Cassandra support and expertise through DataStax, allowing users to take advantage of open-source Cassandra while benefiting from the knowledge and experience of the team that created most of its code and has supported some of the largest deployments globally. With Luna, you gain access to best practices, expert advice, and SLA-based support to ensure your Cassandra setup remains optimal. You can scale your operations without sacrificing performance or latency, effectively managing even the most demanding real-time workloads with ease. The service empowers you to create dynamic and highly-interactive customer experiences with exceptionally fast read and write capabilities. Additionally, Luna helps resolve issues and adhere to best practices in managing Cassandra clusters. The support provided encompasses the entire application life cycle, facilitating a deeper collaboration with your team throughout the implementation process, ensuring that your needs are met at every stage. Ultimately, Luna enhances your ability to harness the full potential of Cassandra for your business objectives.

QueryPie serves as a unified platform that consolidates diverse data sources and security protocols into a single interface. Accelerate your company's journey toward achievement without altering your current data infrastructure. In an era driven by data, effective data governance has become essential. Make certain that you adhere to data governance regulations while simultaneously granting multiple users access to an increasing volume of essential data. Formulate data access policies by incorporating crucial factors such as IP addresses and time of access. You can create various privilege types based on SQL commands categorized into DML, DCL, and DDL, allowing for secure data analysis and modifications. Effortlessly monitor SQL event details and analyze user behavior along with potential security threats by examining logs filtered by permissions. Furthermore, all historical data can be exported for comprehensive reporting, ensuring that you have a clear view of your data usage and security practices. This holistic approach not only enhances oversight but also supports informed decision-making for future strategies.

Amazon SageMaker Data Wrangler significantly shortens the data aggregation and preparation timeline for machine learning tasks from several weeks to just minutes. This tool streamlines data preparation and feature engineering, allowing you to execute every phase of the data preparation process—such as data selection, cleansing, exploration, visualization, and large-scale processing—through a unified visual interface. You can effortlessly select data from diverse sources using SQL, enabling rapid imports. Following this, the Data Quality and Insights report serves to automatically assess data integrity and identify issues like duplicate entries and target leakage. With over 300 pre-built data transformations available, SageMaker Data Wrangler allows for quick data modification without the need for coding. After finalizing your data preparation, you can scale the workflow to encompass your complete datasets, facilitating model training, tuning, and deployment in a seamless manner. This comprehensive approach not only enhances efficiency but also empowers users to focus on deriving insights from their data rather than getting bogged down in the preparation phase.

Amazon SageMaker JumpStart serves as a comprehensive hub for machine learning (ML), designed to expedite your ML development process. This platform allows users to utilize various built-in algorithms accompanied by pretrained models sourced from model repositories, as well as foundational models that facilitate tasks like article summarization and image creation. Furthermore, it offers ready-made solutions aimed at addressing prevalent use cases in the field. Additionally, users have the ability to share ML artifacts, such as models and notebooks, within their organization to streamline the process of building and deploying ML models. SageMaker JumpStart boasts an extensive selection of hundreds of built-in algorithms paired with pretrained models from well-known hubs like TensorFlow Hub, PyTorch Hub, HuggingFace, and MxNet GluonCV. Furthermore, the SageMaker Python SDK allows for easy access to these built-in algorithms, which cater to various common ML functions, including data classification across images, text, and tabular data, as well as conducting sentiment analysis. This diverse range of features ensures that users have the necessary tools to effectively tackle their unique ML challenges.

Avalor’s data fabric enables security teams to expedite their decision-making processes while enhancing accuracy. Our architecture seamlessly combines various data sources, such as legacy systems, data lakes, data warehouses, SQL databases, and applications, to deliver a comprehensive perspective on business performance. The platform is equipped with automation, two-way synchronization, alerts, and analytics, all driven by the capabilities of the data fabric. Security operations gain from swift, dependable, and precise evaluations of enterprise data, encompassing areas like asset coverage, compliance reporting, ROSI analysis, and vulnerability management, among others. Typically, security teams navigate through a multitude of specialized tools and products, each serving different purposes and generating unique outputs. This overwhelming diversity in data can complicate efforts to prioritize tasks and identify where problems exist. In order to respond promptly and accurately to business inquiries, it is essential to leverage data from throughout the organization effectively. By consolidating insights, teams can focus on critical issues and enhance overall security posture.

Transfer your data seamlessly into your customer's cloud data lake or warehouse without ever having to leave your own system. By connecting Bobsled to your data source, you can select the specific bucket or warehouse for your data transfer, and Bobsled will take care of the rest. There’s no need to manage multiple accounts or construct complex pipelines. Designed on each platform’s sharing protocol, Bobsled offers data providers a secure and effortless way to share data, eliminating the challenges of managing a multi-cloud environment. Considering that data integration consumes 70% of the time that teams spend working with external datasets, Bobsled empowers your clients to quickly access analysis-ready data directly in the environments they are accustomed to. Additionally, users can easily track and manage every data share through a single interface, enabling them to initiate shares, automate data transfers, resolve any errors, and monitor usage efficiently. Ultimately, this streamlined process enhances productivity and allows teams to focus more on insightful analysis rather than tedious data logistics.

Cutting-edge technology and services are designed to securely transform and elevate sensitive information into actionable insights, thereby fostering innovation and creating new avenues for revenue generation. Through the use of the Mimic synthetic data engine, businesses can effectively synthesize their data assets, ensuring that consumer privacy is safeguarded while preserving the statistical relevance of the information. This synthetic data can be leveraged for a variety of internal initiatives, such as analytics, machine learning, artificial intelligence, marketing efforts, and segmentation strategies, as well as for generating new revenue streams via external data monetization. Mimic facilitates the secure transfer of statistically relevant synthetic data to any cloud platform of your preference, maximizing the utility of your data. In the cloud, enhanced synthetic data—validated for compliance with regulatory and privacy standards—can support analytics, insights, product development, testing, and collaboration with third-party data providers. This dual focus on innovation and compliance ensures that organizations can harness the power of their data without compromising on privacy.

Introducing a versatile and precise synthetic data generation solution. In just minutes, you can create the specific data required for your perception system. Tailor scenarios to fit your needs with limitless variations available. Datasets can be generated effortlessly in the cloud. Anyverse delivers a robust synthetic data software platform that supports the design, training, validation, or refinement of your perception system. With unmatched cloud computing capabilities, it allows you to generate all necessary data significantly faster and at a lower cost than traditional real-world data processes. The Anyverse platform is modular, facilitating streamlined scene definition and dataset creation. The intuitive Anyverse™ Studio is a standalone graphical interface that oversees all functionalities of Anyverse, encompassing scenario creation, variability configuration, asset dynamics, dataset management, and data inspection. All data is securely stored in the cloud, while the Anyverse cloud engine handles the comprehensive tasks of scene generation, simulation, and rendering. This integrated approach not only enhances productivity but also ensures a seamless experience from conception to execution.

Address the obstacles faced in gathering data for the training of machine learning and AI systems by utilizing Rendered.ai, a platform-as-a-service tailored for data scientists, engineers, and developers. This innovative tool facilitates the creation of synthetic datasets specifically designed for ML and AI training and validation purposes. Users can experiment with various sensor models, scene content, and post-processing effects to enhance their projects. Additionally, it allows for the characterization and cataloging of both real and synthetic datasets. Data can be easily downloaded or transferred to personal cloud repositories for further processing and training. By harnessing the power of synthetic data, users can drive innovation and boost productivity. Rendered.ai also enables the construction of custom pipelines that accommodate a variety of sensors and computer vision inputs. With free, customizable Python sample code available, users can quickly start modeling SAR, RGB satellite imagery, and other sensor types. The platform encourages experimentation and iteration through flexible licensing, permitting nearly unlimited content generation. Furthermore, users can rapidly create labeled content within a high-performance computing environment that is hosted. To streamline collaboration, Rendered.ai offers a no-code configuration experience, fostering teamwork between data scientists and data engineers. This comprehensive approach ensures that teams have the tools they need to effectively manage and utilize data in their projects.

At Vaex.io, our mission is to make big data accessible to everyone, regardless of the machine or scale they are using. By reducing development time by 80%, we transform prototypes directly into solutions. Our platform allows for the creation of automated pipelines for any model, significantly empowering data scientists in their work. With our technology, any standard laptop can function as a powerful big data tool, eliminating the need for clusters or specialized engineers. We deliver dependable and swift data-driven solutions that stand out in the market. Our cutting-edge technology enables the rapid building and deployment of machine learning models, outpacing competitors. We also facilitate the transformation of your data scientists into proficient big data engineers through extensive employee training, ensuring that you maximize the benefits of our solutions. Our system utilizes memory mapping, an advanced expression framework, and efficient out-of-core algorithms, enabling users to visualize and analyze extensive datasets while constructing machine learning models on a single machine. This holistic approach not only enhances productivity but also fosters innovation within your organization.

The integration of external data represents a pivotal opportunity for businesses to enhance their competitive edge across various sectors, yet many organizations face challenges in navigating the complexities of its implementation. Demyst offers comprehensive tools to assist you in identifying, acquiring, and utilizing the appropriate external data, with our specialists collaborating with you throughout the entire process. You can easily explore and immediately implement data from Demyst’s extensive catalog of sources, or our knowledgeable team can suggest and facilitate the onboarding of new options from any external data provider worldwide. Our certification program for data providers ensures that we thoroughly vet and procure data tailored to your requirements, all under a unified contractual agreement. By eliminating the dilemma of compliance versus speed, Demyst conducts continuous legal, privacy, and security assessments to guarantee that your data access remains both safe and compliant, typically onboarding new data within four weeks or less. Furthermore, Demyst expertly handles the final steps of implementation, allowing you to deploy and monitor the data you require through consistently formatted APIs or files, ensuring a seamless integration into your existing systems. This comprehensive approach streamlines your access to valuable information, empowering your business to thrive in an increasingly data-driven landscape.

Streamline the processes of data discovery, safeguarding, and governance within your cloud workloads and SaaS applications. Effortlessly locate all instances of vulnerable sensitive data across these platforms, enabling a reduction in the potential data attack surface. Recognize and categorize sensitive information like personally identifiable information (PII), protected health information (PHI), payment card information (PCI), and proprietary company intellectual property to mitigate the risk of data breaches. Gain real-time, actionable insights on strategies to secure your cloud data and uphold compliance standards. Implement robust data access protocols to ensure minimal access privileges, bolster your security framework, and enhance resilience against cyber threats. This proactive approach not only protects your assets but also fosters a culture of security awareness within your organization.

Data plays a crucial role in every facet of a processing plant or facility, serving as the backbone for most operational workflows, critical business decisions, and various environmental occurrences. Often, failures can be linked back to this very data, manifesting as operator mistakes, faulty sensors, safety incidents, or inadequate analytics. APERIO steps in to address these challenges effectively. In the realm of Industry 4.0, data integrity stands as a vital component, forming the bedrock for more sophisticated applications, including predictive models, process optimization, and tailored AI solutions. Recognized as the premier provider of dependable and trustworthy data, APERIO DataWise enables organizations to automate the quality assurance of their PI data or digital twins on a continuous and large scale. By guaranteeing validated data throughout the enterprise, businesses can enhance asset reliability significantly. Furthermore, this empowers operators to make informed decisions, fortifies the detection of threats to operational data, and ensures resilience in operations. Additionally, APERIO facilitates precise monitoring and reporting of sustainability metrics, promoting greater accountability and transparency within industrial practices.

Medium’s sophisticated data infrastructure and reporting systems establish a unified source of truth that aids in decision-making amidst increasing complexities. Our innovative technology for automated data movement is designed to extract, store, and transfer data to your preferred locations. Tailored specifically for omnichannel businesses, our unique data transformation process ensures high reliability. This is precisely why our data is considered the most dependable in the industry. With our pre-built data models, we enhance data reliability by simplifying processes related to data preparation, aggregation, and enrichment. Our platform effectively normalizes, aggregates, and validates your omnichannel data with precision. We possess the capability to resolve inconsistencies, check for missing data entries, supplement important information to datasets, and bring together disparate reports from multiple channels into a cohesive view that enhances overall data integrity. By leveraging these comprehensive features, businesses can navigate their data landscape with greater confidence and insight.

Effortlessly anonymize faces, license plates, bodies, and vehicles with our user-friendly solution that seamlessly integrates across all platforms. Address privacy concerns for a diverse array of commercial and industrial applications. Leading global companies place their confidence in our products and expertise as we tackle anonymization issues, allowing you to concentrate on your primary business objectives. Our dedicated team is committed to supporting you throughout your privacy enhancement process. With a strong emphasis on Data Protection, we implement robust measures to ensure compliance with GDPR and other relevant data protection regulations. You have the option to utilize our cloud service for all processing needs, or deploy our Docker container within your on-premise or private/public cloud environments. Our pricing structure is based on a fee per image or video hour, and we offer a demo account that allows you to test our services free of charge. In just seconds, you can blur faces, license plates, individuals, and vehicles in images using a straightforward REST call, making privacy protection both efficient and accessible. By choosing our solution, you not only safeguard sensitive information but also streamline your operations for better efficiency.

SecuPi presents a comprehensive data-centric security solution that includes advanced fine-grained access control (ABAC), Database Activity Monitoring (DAM), and various de-identification techniques such as FPE encryption, physical and dynamic masking, and right to be forgotten (RTBF) deletion. This platform is designed to provide extensive protection across both commercial and custom applications, encompassing direct access tools, big data environments, and cloud infrastructures. With SecuPi, organizations can utilize a single data security framework to effortlessly monitor, control, encrypt, and categorize their data across all cloud and on-premises systems without requiring any modifications to existing code. The platform is agile and configurable, enabling it to adapt to both current and future regulatory and auditing demands. Additionally, its implementation is rapid and cost-effective, as it does not necessitate any alterations to source code. SecuPi's fine-grained data access controls ensure that sensitive information is safeguarded, granting users access solely to the data they are entitled to, while also integrating smoothly with Starburst/Trino to automate the enforcement of data access policies and enhance data protection efforts. This capability allows organizations to maintain compliance and security effortlessly as they navigate their data management challenges.

We excel in Data Quality and Machine Learning Model solutions tailored for enterprises navigating multi-cloud environments, modern data management, and machine learning ecosystems. Our algorithms are designed to identify Data Anomalies across databases in Azure, GCP, and AWS, enabling you to assess and oversee data challenges from all your cloud database management systems and data silos through a singular, integrated platform. Perceptions of quality can vary significantly among different stakeholders within an organization. Qualdo stands at the forefront of streamlining data quality management issues by presenting them through the perspectives of various enterprise participants, thus offering a cohesive and easily understandable overview. Implement advanced auto-resolution algorithms to identify and address critical data challenges effectively. Additionally, leverage comprehensive reports and notifications to ensure your enterprise meets regulatory compliance standards while enhancing overall data integrity. Furthermore, our innovative solutions adapt to evolving data landscapes, ensuring you stay ahead in maintaining high-quality data standards.

Uncover hidden sensitive information in unexpected locations such as screenshots, logs, messages, tickets, and tables in just a few minutes. With a single click, LightBeam facilitates the creation of detailed executive or delta reports that provide you with essential insights into your sensitive data landscape. By utilizing LightBeam's distinctive PII/PHI graphs, you can automate Data Subject Requests (DSRs) in a comprehensive manner tailored to your data infrastructure. Foster user trust by allowing them to take charge of their own data collection practices. Ensure ongoing oversight of how sensitive data is gathered, utilized, shared, and protected, maintaining suitable safeguards throughout your organization while keeping stakeholders informed. This proactive approach not only enhances compliance but also strengthens the overall data governance framework.

At Bedrock Security, seamless data protection allows businesses to safely harness the growth of cloud and AI data without hindering their operations. Begin your journey towards enhanced data security and progress beyond mere visibility. Leverage AI insights to gain a deeper understanding of your essential data while ensuring compliance with cloud and GenAI regulations through ready-to-use compliance frameworks. Since your data is dynamic—constantly evolving and shifting—it is imperative to conduct ongoing security evaluations. Effectively oversee remediation and response by incorporating behavior-driven anomaly detection, SIEM/SOAR integration, policy enforcement, and prioritization informed by data context. Advanced security programs can support seamless business activities while adeptly addressing risks to the organization’s brand, revenue, and reputation. Additionally, Bedrock’s AIR framework assists organizations in minimizing data use, streamlining identity and access controls, and enhancing data security measures. This comprehensive approach empowers companies to operate confidently in a rapidly changing digital landscape.

Velotix empowers organizations to unlock the true value of their data while maintaining the highest standards of security and compliance in today’s complex regulatory landscape. The Velotix Data Security Platform offers a comprehensive suite of features, including AI-driven data discovery, automated policy enforcement, and granular, dynamic access controls that adapt to the evolving needs of businesses. Designed to seamlessly integrate with multi-cloud and hybrid environments, Velotix simplifies data management, enabling secure, self-service access to data without compromising governance or risking compliance violations. With Velotix, organizations can optimize the use of their data while ensuring that security policies are enforced consistently and efficiently across all platforms. The platform’s advanced workflows and automation capabilities help reduce manual overhead, streamline data processes, and minimize the risk of human error. This results in faster, more informed decision-making while protecting sensitive data assets.

Step into a realm where the intricacies of data are made manageable. As enterprises expand, they encounter an increase in both the complexity and sheer amount of their data. Our approach guarantees that this escalation does not spiral into disorder. By establishing a flexible metrics architecture, we empower you to manage growing data volumes while maintaining accuracy and effectiveness. Our comprehensive platform not only aggregates data but also guarantees that it is processed and displayed in an easily comprehensible and actionable format. Automation of data pipelines transcends merely transferring data; it focuses on achieving this task in the most streamlined and productive way possible. Our solutions are crafted to automate monotonous processes, minimize errors, and facilitate a smooth flow of data across your systems. Raw data can indeed be daunting, but with suitable tools in place, it can convey an engaging narrative. Our data visualization solutions are specifically tailored to convert intricate datasets into straightforward, easy-to-interpret graphics, making it easier than ever to derive insights and take informed action. Ultimately, we believe that with the right approach, data can become one of your most valuable assets.

Ingext enables real-time transformation, analysis, metrics, and alert notifications as integral components of data collection. This capability ensures that incoming data to a Security Information and Event Management (SIEM) or Application Performance Monitoring (APM) system is immediately usable, thereby minimizing complexity and delays while effectively managing interruptions and bottlenecks. The platform allows for a seamless flow of data that can be continuously utilized, emphasizing the importance of having operational data available as soon as it is generated. Users can quickly initiate their experience by accessing a trial through the AWS marketplace. Ingext prioritizes the secure and straightforward connection to your data sources, ensuring that the information is delivered in a comprehensible format. Additionally, the processing feature enhances, enriches, and verifies the integrity of your data. The architecture allows for the independent linking of streaming processing to both data sources and destinations, referred to as sinks, which simplifies debugging and improves clarity. By focusing on these aspects, Ingext streamlines the entire data handling process, making it more efficient and effective. Ultimately, this approach empowers organizations to harness their data's potential fully.

Constantly accessible, real-time business decision-making is achievable without requiring specialized tools or resources. UBIX stands out as an innovator at the crossroads of generative AI and reinforcement learning, facilitating actionable insights and automation driven by business needs. Our unique no-code SaaS platform swiftly contextualizes and displays data from both internal and external sources within minutes, revolutionizing the transformation of AI and machine learning innovations. This approach enhances everyday decision-making that influences productivity, waste management, compliance, growth, and profitability. We ensure the right data reaches the appropriate business leader at the optimal moment and in the best format. By following just five simple steps over a few days, organizations can seamlessly integrate AI capabilities into their operations. This not only strengthens business intelligence efforts but also liberates data scientists to focus on innovation rather than routine reporting tasks. The power of artificial intelligence is no longer confined to large enterprises or technical teams; it is now accessible to individuals in organizations of every size. With UBIX, advanced analytics and artificial intelligence become a resource available to all.