Best Data Management Software for Amazon Web Services (AWS) - Page 8

InfoScale stands out as a reliable solution that provides a unified availability platform across various environments, including physical, virtual, and cloud infrastructures. By seamlessly integrating with enterprise applications, it ensures high availability and disaster recovery for a diverse range of essential business services. Utilizing InfoScale allows organizations to enhance application uptime while optimizing performance effortlessly. For industry leaders, whether they are small businesses or large global corporations, implementing InfoScale signifies a significant advancement in their digital transformation journey. It enables organizations to exceed application service level agreements (SLAs) across all IT platforms. Furthermore, it safeguards business-critical applications that demand uninterrupted operation. Users can confidently execute high availability and disaster recovery strategies while effectively managing mission-critical services across all types of environments. With InfoScale, businesses can achieve seamless application availability and mobility, transitioning effortlessly from on-premises to cloud environments and vice versa. This capability not only fosters resilience but also empowers companies to adapt swiftly to changing demands and opportunities in the digital landscape.

Generate data products swiftly from various sources without the need to relocate the data, making them accessible to everyone while retaining full oversight. Deliver impactful experiences that reveal value, while simultaneously enhancing your data mesh through effortless sharing, discovery, and governance across various domains. Encourage collaboration and speed up innovation by providing unified access to top-notch data products. Offer regulated access to AI models for every user, ensuring control over how data interacts with AI to protect intellectual property. Streamline AI workflows to quickly incorporate and refine new functionalities. Access and create data products directly from Snowflake without the hassle of data movement. Enjoy the simplicity of maximizing your data's potential, making it accessible for analysis and eliminating the necessity for centralized infrastructure and tools. Data products seamlessly integrate with various tools to uphold governance and expedite results, fostering a more efficient data environment. Thus, the approach not only enhances collaboration but also empowers users to leverage data more effectively.

DataTrust is designed to speed up testing phases and lower delivery costs by facilitating continuous integration and continuous deployment (CI/CD) of data. It provides a comprehensive suite for data observability, validation, and reconciliation at an extensive scale, all without the need for coding and with user-friendly features. Users can conduct comparisons, validate data, and perform reconciliations using reusable scenarios. The platform automates testing processes and sends alerts when problems occur. It includes interactive executive reports that deliver insights into quality dimensions, alongside personalized drill-down reports equipped with filters. Additionally, it allows for comparison of row counts at various schema levels across multiple tables and enables checksum data comparisons. The rapid generation of business rules through machine learning adds to its versatility, giving users the option to accept, modify, or discard rules as required. It also facilitates the reconciliation of data from multiple sources, providing a complete array of tools to analyze both source and target datasets effectively. Overall, DataTrust stands out as a powerful solution for enhancing data management practices across different organizations.

Gain a competitive advantage through the effectiveness of vector search. Optimize your AI/ML workflow processes, lower your infrastructure expenses, and maintain your market lead with accelerated time-to-market that can reach up to 10 times faster. Eliminate data silos with ApertureDB’s cohesive multimodal data management, empowering your AI teams to unleash their creativity. Establish and scale intricate multimodal data systems for billions of objects within your organization in just days rather than months. By integrating multimodal data, sophisticated vector search capabilities, and a cutting-edge knowledge graph along with a robust query engine, you can rapidly develop AI applications that operate efficiently at an enterprise level. ApertureDB offers a significant boost in productivity for your AI/ML teams while maximizing the returns on your AI investments through comprehensive data integration. Explore the platform for free or arrange a demonstration to witness its functionality firsthand. Additionally, locate pertinent images using labels, geolocation, and specific areas of interest. Prepare extensive multi-modal medical scans ready for machine learning and clinical research, ensuring your organization remains at the forefront of innovation.

Base64.ai stands out as a premier no-code AI platform that effectively processes a variety of documents, images, and videos. It serves as a comprehensive solution for handling numerous document types, such as identification cards, passports, invoices, checks, and forms. With over 400 no-code integrations available, you can connect to third-party systems within an hour. Additionally, users can easily add new document types, integrations, and customize business rules according to their requirements. The AI can be directed to cater to specific demands, and for the majority of document types, the OCR, data extraction, and integration processes complete in less than three seconds. Boasting a remarkable 99% accuracy rate for data extraction across various document types, Base64.ai continually enhances its performance with each document processed. Users can access Base64.ai through various channels, including API, RPA systems, scanners, and both web and mobile applications, as well as through our extensive partner network. Our dedicated document review team is available 24/7 to verify results, ensuring 100% accuracy in data extraction. Moreover, the platform is equipped to identify and eliminate sensitive information, such as names, dates, and document numbers. Base64.ai proudly collaborates with top organizations in the automation sector, strengthening its position in the industry and enhancing its offerings for users seeking efficiency and reliability.

ZoomInfo offers unparalleled actionable data, enhancing your CRM with foundational and firmographic information, as well as contact and intent intelligence, ensuring high match rates, accuracy, and fill rates. You can seamlessly incorporate extensive B2B data into any workflow format you prefer, utilizing cloud data shares, APIs, flat files, or orchestration applications. Data cubes are accessible through platforms such as AWS, Google Cloud, Databricks, and Snowflake, or you can simply opt for a flat file. Transition from cumbersome B2B data integration to contemporary data management solutions with ZoomInfo, which empowers you to advance data maturity within your organization. By relying on a single source of truth, your sales and marketing teams can synchronize their efforts and enhance go-to-market strategies. Our database is continuously updated, providing you with essential company and contact information to drive superior business results. Additionally, leverage APIs and webhooks to incorporate ZoomInfo data seamlessly into any workflow or system, ensuring real-time integration at scale while maintaining flexibility and efficiency. This adaptability allows businesses to respond swiftly to market changes and customer needs, fostering a more proactive approach to data management.

Leverage your data, regardless of its location, with an open and hybrid data lakehouse designed specifically for AI and analytics. Seamlessly integrate data from various sources and formats, all accessible through a unified entry point featuring a shared metadata layer. Enhance both cost efficiency and performance by aligning specific workloads with the most suitable query engines. Accelerate the discovery of generative AI insights with integrated natural-language semantic search, eliminating the need for SQL queries. Ensure that your AI applications are built on trusted data to enhance their relevance and accuracy. Maximize the potential of all your data, wherever it exists. Combining the rapidity of a data warehouse with the adaptability of a data lake, watsonx.data is engineered to facilitate the expansion of AI and analytics capabilities throughout your organization. Select the most appropriate engines tailored to your workloads to optimize your strategy. Enjoy the flexibility to manage expenses, performance, and features with access to an array of open engines, such as Presto, Presto C++, Spark Milvus, and many others, ensuring that your tools align perfectly with your data needs. This comprehensive approach allows for innovative solutions that can drive your business forward.

Valkey is a robust, durable, in-memory database service that is compatible with Redis OSS, designed for ultra-fast performance and capable of scaling to handle hundreds of millions of requests per second, alongside offering over one hundred terabytes of storage capacity per cluster. It ensures data durability through a multi-AZ transaction log, achieving an impressive 99.99% availability rate and facilitating near-instantaneous recovery without any risk of data loss. To safeguard your information, it provides encryption both at rest and in transit, utilizes private VPC endpoints, and supports multiple authentication methods including IAM authentication. Developers can swiftly create applications using the data structures of Valkey and Redis OSS, supported by a comprehensive open-source API, and it seamlessly integrates with various AWS services. This allows for the delivery of real-time personalized experiences with the utmost relevance, along with the fastest semantic search capabilities among vector databases available on AWS. With its built-in access to flexible data structures, Valkey and Redis OSS not only simplify the application development process but also significantly enhance the speed at which products can be brought to market, making it an invaluable tool for developers.

DataChain serves as a bridge between unstructured data found in cloud storage and AI models alongside APIs, facilitating immediate data insights by utilizing foundational models and API interactions to swiftly analyze unstructured files stored in various locations. Its Python-centric framework significantly enhances development speed, enabling a tenfold increase in productivity by eliminating SQL data silos and facilitating seamless data manipulation in Python. Furthermore, DataChain prioritizes dataset versioning, ensuring traceability and complete reproducibility for every dataset, which fosters effective collaboration among team members while maintaining data integrity. The platform empowers users to conduct analyses right where their data resides, keeping raw data intact in storage solutions like S3, GCP, Azure, or local environments, while metadata can be stored in less efficient data warehouses. DataChain provides versatile tools and integrations that are agnostic to cloud environments for both data storage and computation. Additionally, users can efficiently query their unstructured multi-modal data, implement smart AI filters to refine datasets for training, and capture snapshots of their unstructured data along with the code used for data selection and any associated metadata. This capability enhances user control over data management, making it an invaluable asset for data-intensive projects.

XTDB is a unique SQL database that offers immutability to enhance application development and guarantee data compliance. Its automatic data history preservation feature allows for extensive time-travel queries, enabling users to execute as-of queries and audits seamlessly with SQL commands. This innovative tool is relied upon by a multitude of organizations to revolutionize their dynamic and temporal applications. Getting started with XTDB is straightforward, whether through HTTP, plain SQL, or various programming languages, as it only necessitates a client driver or Curl. Users can easily insert data in an immutable way, conduct time-based queries, and perform intricate joins. Furthermore, risk systems see direct advantages from its bitemporal modeling capabilities. By employing valid time, the database facilitates the correlation of out-of-sync trade data, simplifying compliance procedures. One of the significant challenges organizations face is the continuous change in data exposure; however, XTDB addresses this issue effectively by streamlining data exchange and enabling advanced temporal analysis. Additionally, modeling future changes in pricing, taxes, and discounts necessitates robust temporal query capabilities, which XTDB provides efficiently. Ultimately, XTDB stands out as a powerful solution for managing complex temporal data needs.

Many users leverage Amazon Managed Service for Apache Flink to execute stream processing applications efficiently. This service allows for real-time transformation and analysis of streaming data utilizing Apache Flink, while seamlessly integrating with a variety of other AWS services. There is no need to manage servers and clusters, nor is there any requirement to establish computing and storage infrastructure. You only incur charges for the resources you utilize, making it cost-effective. You can build and operate Apache Flink applications without the hassle of setting up infrastructure or overseeing resources and clusters. This platform enables the processing of vast amounts of data at incredible speeds, achieving subsecond latencies, and facilitating real-time event responses. Additionally, you can deploy robust and reliable applications using Multi-AZ deployments, along with APIs designed for managing application lifecycles. Furthermore, it supports the development of applications that can transform and distribute data to various services, including Amazon Simple Storage Service (Amazon S3) and Amazon OpenSearch Service, among others. By utilizing this managed service, businesses can focus more on their applications rather than the underlying architecture.

Effortlessly capture, transform, and load live streaming data with a few simple steps. Initiate a delivery stream, pick your desired destination, and commence real-time data streaming in no time. The system autonomously provisions and adjusts compute, memory, and network capabilities without the need for continuous management. Convert unprocessed streaming data into various formats, such as Apache Parquet, and seamlessly partition the data in real-time without creating your own processing frameworks. Amazon Data Firehose stands out as the most straightforward solution for swiftly acquiring, transforming, and delivering data streams to data lakes, warehouses, and analytical platforms. To get started with Amazon Data Firehose, you need to establish a stream that includes a source, destination, and the transformations you need. The service continuously manages the data stream, automatically adapting to changes in data volume, and ensures delivery within seconds. You can choose a source for your data stream or utilize the Firehose Direct PUT API to write data directly. This makes it not only user-friendly but also highly efficient for handling large volumes of data.

kdb Insights is an advanced analytics platform built for the cloud, enabling high-speed real-time analysis of both live and past data streams. It empowers users to make informed decisions efficiently, regardless of the scale or speed of the data, and boasts exceptional price-performance ratios, achieving analytics performance that is up to 100 times quicker while costing only 10% compared to alternative solutions. The platform provides interactive data visualization through dynamic dashboards, allowing for immediate insights that drive timely decision-making. Additionally, it incorporates machine learning models to enhance predictive capabilities, identify clusters, detect patterns, and evaluate structured data, thereby improving AI functionalities on time-series datasets. With remarkable scalability, kdb Insights can manage vast amounts of real-time and historical data, demonstrating effectiveness with loads of up to 110 terabytes daily. Its rapid deployment and straightforward data ingestion process significantly reduce the time needed to realize value, while it natively supports q, SQL, and Python, along with compatibility for other programming languages through RESTful APIs. This versatility ensures that users can seamlessly integrate kdb Insights into their existing workflows and leverage its full potential for a wide range of analytical tasks.

Amazon Security Lake automatically gathers security information from AWS environments, SaaS providers, as well as both on-premises and cloud sources, and consolidates it into a dedicated data lake within your account. By utilizing Security Lake, organizations can attain a more holistic view of their security information across all sectors. This solution enhances the safeguarding of your applications, workloads, and data. Embracing the Open Cybersecurity Schema Framework (OCSF), which is an open standard, Security Lake ensures the normalization and integration of security data from AWS alongside a wide variety of enterprise security resources. You can leverage your chosen analytics tools to scrutinize your security information while maintaining full control and ownership of that data. It centralizes visibility of information from both cloud and on-premises sources throughout your accounts and AWS Regions. Additionally, by standardizing your security data to an open framework, you can simplify your data management processes at scale, enabling more efficient operational practices. This comprehensive approach ultimately leads to better security posture and risk management across your organization.

Connect and centralize data. Transform your data landscape into a flexible powerhouse. Data Virtuality is a data integration platform that allows for instant data access, data centralization, and data governance. Logical Data Warehouse combines materialization and virtualization to provide the best performance. For high data quality, governance, and speed-to-market, create your single source data truth by adding a virtual layer to your existing data environment. Hosted on-premises or in the cloud. Data Virtuality offers three modules: Pipes Professional, Pipes Professional, or Logical Data Warehouse. You can cut down on development time up to 80% Access any data in seconds and automate data workflows with SQL. Rapid BI Prototyping allows for a significantly faster time to market. Data quality is essential for consistent, accurate, and complete data. Metadata repositories can be used to improve master data management.

Advanced GPU-accelerated database for high data performance at scale You can generate smarter intelligence faster with AI capabilities and an analytics visualization workbench. Brytlyt is a market leader with a global vision. We understand the importance and value of data-driven businesses and can help you achieve this with rapidly accelerated analytics that deliver millisecond performance. Brytlyt allows you to find meaning in large amounts of data at the speed of your mind. Our platform provides decision support and business critical insight. PostgreSQL is a powerful database that allows you to analyze more data faster and more efficiently. Uncover valuable intelligence in milliseconds. You can process huge amounts of data without losing the details. As your data grows, you can adapt and customize resources. With exceptional ease, integrate existing systems. Brytlyt gives you the ability to find value wherever and whenever you need it, giving you an advantage over your competitors.

Astronomer is the driving force behind Apache Airflow, the de facto standard for expressing data flows as code. Airflow is downloaded more than 4 million times each month and is used by hundreds of thousands of teams around the world. For data teams looking to increase the availability of trusted data, Astronomer provides Astro, the modern data orchestration platform, powered by Airflow. Astro enables data engineers, data scientists, and data analysts to build, run, and observe pipelines-as-code. Founded in 2018, Astronomer is a global remote-first company with hubs in Cincinnati, New York, San Francisco, and San Jose. Customers in more than 35 countries trust Astronomer as their partner for data orchestration.

The Databricks Data Intelligence Platform empowers every member of your organization to leverage data and artificial intelligence effectively. Constructed on a lakehouse architecture, it establishes a cohesive and transparent foundation for all aspects of data management and governance, enhanced by a Data Intelligence Engine that recognizes the distinct characteristics of your data. Companies that excel across various sectors will be those that harness the power of data and AI. Covering everything from ETL processes to data warehousing and generative AI, Databricks facilitates the streamlining and acceleration of your data and AI objectives. By merging generative AI with the integrative advantages of a lakehouse, Databricks fuels a Data Intelligence Engine that comprehends the specific semantics of your data. This functionality enables the platform to optimize performance automatically and manage infrastructure in a manner tailored to your organization's needs. Additionally, the Data Intelligence Engine is designed to grasp the unique language of your enterprise, making the search and exploration of new data as straightforward as posing a question to a colleague, thus fostering collaboration and efficiency. Ultimately, this innovative approach transforms the way organizations interact with their data, driving better decision-making and insights.

Delphix is the industry leader for DataOps. It provides an intelligent data platform that accelerates digital change for leading companies around world. The Delphix DataOps Platform supports many systems, including mainframes, Oracle databases, ERP apps, and Kubernetes container. Delphix supports a wide range of data operations that enable modern CI/CD workflows. It also automates data compliance with privacy regulations such as GDPR, CCPA and the New York Privacy Act. Delphix also helps companies to sync data between private and public clouds, accelerating cloud migrations and customer experience transformations, as well as the adoption of disruptive AI technologies.

Unlock the potential to redefine business intelligence. With ElegantJ BI tools and solutions, envision the vast opportunities that come from empowering business users to harness their own analytics. Picture a scenario where users can perform in-depth analyses and move away from the limitations of traditional 'static dashboards.' Equip your team to evolve into citizen data scientists using Smarten, our advanced data discovery platform powered by ElegantJ BI. Our self-service mobile business intelligence suite caters to enterprises of all sizes, various business functions, and diverse user needs. It offers a comprehensive array of tools and advanced features in a user-friendly interface designed to facilitate the transformation of business users into adept citizen data scientists. We not only advocate for mobile business intelligence, we ensure its practical implementation! You have the freedom to choose the device, screen size, or environment from which you can access essential business intelligence data. Ultimately, our goal is to enhance decision-making across your organization by making data accessible anywhere, anytime.

Embrace flexibility with a top-tier, scalable enterprise data integration platform that boasts high performance. It supports every phase of the data integration lifecycle, from initiating the initial project to ensuring the success of critical enterprise deployments. PowerCenter, a platform driven by metadata, expedites data integration initiatives, enabling businesses to access data much faster than through traditional manual coding. Developers and analysts can work together to quickly prototype, revise, analyze, validate, and launch projects within days rather than taking months. Serving as the cornerstone for your data integration efforts, PowerCenter allows for the use of machine learning to effectively oversee and manage your deployments across various domains and locations, enhancing operational efficiency and adaptability. This level of integration ensures that organizations can respond swiftly to changing data needs and market demands.

Data integration for hybrid clouds Modern, reliable data integration across both your private cloud and public cloud. All this in real-time, with change data capture and streams. Striim was developed by the executive and technical team at GoldenGate Software. They have decades of experience in mission critical enterprise workloads. Striim can be deployed in your environment as a distributed platform or in the cloud. Your team can easily adjust the scaleability of Striim. Striim is fully secured with HIPAA compliance and GDPR compliance. Built from the ground up to support modern enterprise workloads, whether they are hosted in the cloud or on-premise. Drag and drop to create data flows among your sources and targets. Real-time SQL queries allow you to process, enrich, and analyze streaming data.

An advanced analytics platform powered by AI allows users to access self-service tools for data analysis. This platform seamlessly integrates various data sources and enables the creation of visual representations without needing any programming skills. As a fully cloud-native solution, it offers high-quality data supply and facilitates intelligent real-time analysis throughout the organization, all without code. Users can connect diverse data sources, regardless of their formats, making it easy to pinpoint underlying issues. By minimizing the time taken from sourcing to targeting data, it empowers users without technical backgrounds to perform analytics effortlessly. The platform supports real-time data updates, enabling users to connect sources of any format, stream data either continuously or at set intervals to a data lake, and visualize it using sophisticated interactive dashboards based on search engine technology. It combines descriptive, predictive, and prescriptive analytics into one cohesive platform, leveraging the strength of advanced visualization. No outdated technology is necessary to explore data in various visualization formats, and users can manipulate their data by rolling up, slicing, and dicing it while performing a range of mathematical computations directly within the Bizintel360 visualization environment. This innovative approach to analytics fosters enhanced decision-making across the enterprise.

Commvault Cloud serves as an all-encompassing cyber resilience solution aimed at safeguarding, managing, and restoring data across various IT settings, which include on-premises systems, cloud infrastructures, and SaaS platforms. Utilizing the power of Metallic AI, it boasts cutting-edge functionalities such as AI-enhanced threat detection, automated compliance mechanisms, and accelerated recovery options like Cleanroom Recovery and Cloudburst Recovery. The platform guarantees ongoing data protection through proactive risk assessments, threat identification, and cyber deception tactics, all while enabling smooth recovery and business continuity through infrastructure-as-code automation. By providing a streamlined management interface, Commvault Cloud allows organizations to protect their vital data assets, ensure regulatory compliance, and quickly address cyber threats, which ultimately helps in reducing downtime and minimizing operational interruptions. Additionally, the platform's robust features make it an essential tool for businesses aiming to enhance their overall data security posture in an ever-evolving digital landscape.

SecurEnds cloud software allows the world's most innovative companies to automate: User access reviews, Access certifications, entitlement audits, access requests, and identity analytics. Use the SecurEnds connectors and files to load employee data from a Human Resources Management System (e.g. ADP, Workday. Ultipro. Paycom). To pull identities across enterprise applications (e.g. Active Directory, Salesforce. Oracle, and databases (e.g. SQL Server, MySQL and PostreSQL) and cloud applications (e.g. AWS, Azure and Jira), you can use flex connectors and built-in connectors. As often as necessary, you can perform user access reviews by role and attribute. To track any changes since last campaign, application owners can use delta campaigns. To perform access updates, application owners can send remediation tickets directly. Auditors have the ability to access dashboards and remediations.