Best Data Management Software for Amazon Web Services (AWS)

Sync data to flat files or sheets.

Secuvy, a next-generation cloud platform, automates data security, privacy compliance, and governance via AI-driven workflows. Unstructured data is treated with the best data intelligence. Secuvy, a next-generation cloud platform that automates data security, privacy compliance, and governance via AI-driven workflows is called Secuvy. Unstructured data is treated with the best data intelligence. Automated data discovery, customizable subjects access requests, user validations and data maps & workflows to comply with privacy regulations such as the ccpa or gdpr. Data intelligence is used to locate sensitive and private information in multiple data stores, both in motion and at rest. Our mission is to assist organizations in protecting their brand, automating processes, and improving customer trust in a world that is rapidly changing. We want to reduce human effort, costs and errors in handling sensitive data.

Data characteristics such as meaning, usage, lineage and alignment to business outcomes, ownership, that have been lost repeatedly after each project, can now be captured and retained for the first time. These essential characteristics can now be reused downstream in order to advance strategic business initiatives that depend on trusted data. Reuse data to deliver your outcomes faster. Capture and unleash the potential of your data. Unlock the potential in your data within the context of your business. Many of your projects require the same understanding and insights into your data. It's likely that you are constantly reinventing this information. Syniti can provide this knowledge at a fraction the cost and with greater accuracy. Don't lose your knowledge. Reuse the knowledge and insights that are hidden in your data. Keep your knowledge safe for future reference.

Modular IoT platform allowing for best-of-breed OEM technology to back-end development and operations. This enables IoT solution delivery at scale. Advanced rule logic modeling, execution, and lifecycle management. Automate any data workflow from the simple to complex. Waylay platform was built from the ground up in order to natively deal with multiple data patterns such as IoT, OT, and IT. The same platform allows you to combine streaming and time series analytics. You can quickly deliver self-service and KPI-centric apps for IoT solutions to non-developer groups, accelerating the time to market. The benchmark will help you determine which automation tools are best suited for your IoT use case. IoT application development differs fundamentally from normal IT development. It involves bridging the physical world with Operations Technology (OT), actuators, sensors, and gateways to the digital realm of Information Technology (IT).

End-users often use PST files as personal email archives. They are often scattered across end-user devices and network storage which makes it difficult to find and manage them consistently and effectively. Your users no longer have to save data locally in PST files thanks to Microsoft Exchange and Office 365. You will still need to manage legacy PST files, which contain important data. Barracuda PST Enterprise was created to address this problem. Many terabytes may be stored on PST files on end-user devices or on network servers. These files are notoriously unstable and easy to misplace, and are often corrupted. These large files can be costly in terms of both IT administrative overhead and system resources.

Talend Data Integration allows you to connect and manage all of your data regardless of where it is located. Connect virtually any data source to any data environment using over 1,000 connectors and component. Drag-and-drop interface makes it easy to create and deploy reusable data pipes. It's 10x faster than hand-coding. Talend has been a leader in scaling large data sets to advanced data analytics and Spark platforms. We partner with top cloud service providers, data warehouses and analytics platforms such as Amazon Web Services, Microsoft Azure and Google Cloud Platform, Snowflake and Databricks. Talend ensures data quality at every stage of data integration. Before inconsistencies disrupt or impact critical decisions, you can identify, highlight, and fix them as data moves through your systems. Connect to data wherever it is, and use it where you want it.

You can scan and index metadata, discover and profile information, and provide detailed lineage across tens to millions of data sets. To maximize data reuse and data value, classify and organize data assets in any environment. Automate scanning across multiple cloud platforms, BI tools and ETL tools; and data types. AI-powered domain discovery, data similarities, business term associations, recommendations, and recommendation making are possible. You can track data movement from high-level system views through to fine column-level lineage and get detailed impact analysis. The Data Asset Analytics dashboard allows you to see asset usage, enrichment, collaboration. You can view data quality rules, scorecards and metric groups in context. You can tap into shared data knowledge through certifications, ratings, reviews, a Q&A forum, and change notifications. Informatica stands out from the rest with its extensive range of enterprise-grade data management products.

With exceptional functionality for data integration, quality and cleansing, maximize the value of all structured and unstructured data in your organization. SAP Data Services software increases the quality of enterprise data. It is part of SAP's Information Management Layer. It delivers timely, relevant, and trusted information to help drive better business outcomes. Transform your data into a reliable, always-available resource for business insights and use it to streamline operations and maximize efficiency. Get contextual insight and unlock the true potential of your data with a complete view of all your information. Access to any size data and any source. Standardizing and matching data can improve decision-making and operational efficiency. This will reduce duplicates, identify relationships and address quality issues proactively. Use intuitive tools to unify critical data whether it is on-premise, in the cloud or within Big Data.

Your data is everywhere and in every format imaginable. It's growing every minute, stored in public clouds and private clouds, as well as on premises. It's a tool that your teams use to accomplish their tasks. It is essential for your business to thrive and survive. You can now design your data fabric to deliver the data where, when, and how you need it. You can ensure that your data is always available, accessible, and easy to consume. No cost to hire developers. Deliver a single data experience across all clouds, private clouds, and on-premises. NetApp has the proven capabilities to manage and build your data fabric. NetApp customers are thought-leaders who recognize the importance of digital transformation. They are changing the world every day by leveraging their most valuable business resources data.

Data management software is used mainly by enterprise business teams. Data management software must be intuitive, automated, and intelligent. Data management activities must also adhere to specific industry and data protection regulations. Data must be accurate, consistent, high quality, and easily accessible to enable business teams to make informed, data-driven strategic business decisions. Integrates data privacy, data quality management and test data management. Service engine-based architecture allows for efficient handling of growing data volumes. Uses a user-defined function framework with python adapter to handle niche data processing needs. This provides a minimal layer of governance for data quality and privacy management.

Transform your applications to ensure local compliance and security. While still using the cloud, map your controls and improve compliance programs. Your custom apps can be made to comply with data residency requirements without any additional development. You can enter new markets and increase revenue without affecting your customers' experience. InCountry ensures that your financial services applications are compliant with data regulations in more nations, so you can get the most out of them. A modern data compliance platform will help you protect your path to precision medicine. InCountry offers healthcare-focused solutions that can accelerate research and time to discovery. You can enter new markets and increase revenue without affecting your customer experience. InCountry ensures that your sales process is compliant with local data regulations.

Easy migration of data, schema and objects to the cloud from multiple sources. Azure Database Migration Service helps you automate, guide and simplify your database migration. All your database objects and server objects including user accounts, SQL Server Integration Services packages (SSIS), agent jobs and SQL Server Integration Services packages can be migrated at once. Migrate data from the most popular database management systems to Azure. Database Migration Service can migrate data from on-premises databases or other clouds, including SQL Server, MySQL PostgreSQL and MongoDB. PowerShell automates your move to Azure, saving you time and effort. Database Migration Service uses PowerShell cmdlets for automatic migration of a list databases. Supports migration of Microsoft SQL Server, MySQL PostgreSQL and MongoDB from on-premises or other clouds to Azure.

You can speed up server migrations and reduce errors by using the most advanced automation in a migration solution. It's an easy way to free up IT resources for more important tasks. Only PlateSpin Migrate acknowledges the importance of testing and includes testing in every server-migration job. Perform migrations to and fro virtual hosts and cloud platforms. PlateSpin Migrate supports both Windows and Linux operating systems.

We change the way organizations use data to unlock value. Data is the backbone for the digital economy. Enveil's award winning ZeroReveal®, solutions allow enterprises to securely and privately access data across organizational boundaries, jurisdictions and third parties. The interaction and results are never revealed. Our homomorphic encryption-powered capabilities and PETs provide a decentralized and efficient data collaboration framework that addresses business challenges such as data sharing, monetization and regulatory compliance. We offer the most advanced encrypted search, analytic and machine learning products in the market to protect data while it is being used or processed. This is the 'holy-grail' of secure data use. Enveil is a pioneering privacy-enhancing technology company that protects data for secure data sharing, usage, and monetization.

SecurePlus seamlessly integrates into existing systems, allowing you to quickly and easily set up collaboration projects. Our applications include analytics and machine learning, query and collaboration hub. They allow you to run descriptive statistics, train, tune, deploy AI and ML models, and execute SQL-like queries. All this while using encrypted data. Securely collaborate in any environment with partners to unlock the potential of your data, increase revenue, and improve efficiency within your organization. To train and tune models and deploy analytics on aggregated data, you can link disparate data sets without exposing the underlying information. Decentralized data sets can be encrypted and used to create models and queries. They are protected from reverse engineering. To enable customers and partners to securely collaborate, create and manage your own secure collaboration network.

We want ML engineers not to have to worry about data engineering and instead focus on what they are passionate about, building better models in a shorter time. Our product is a powerful framework which makes it 10x faster and easier for developers to explore and understand visual data at scale. Automate the creation of custom interval attributes with pre-trained extractors, or any other model. Custom attributes can be used to visualize data and analyze model performance. You can query, find rare edge cases, and curate training data across your entire data lake using custom attributes. You can easily save, modify, version, comment, and share frames, sequences, or objects with colleagues and third parties. SiaSearch is a data management platform that automatically extracts frame level, contextual metadata and uses it for data exploration, selection, and evaluation. These tasks can be automated with metadata to increase engineering productivity and eliminate the bottleneck in building industrial AI.

Circonus IRONdb makes it simple to store and manage unlimited volumes of Telemetry data. It can also handle billions of metric streams. Circonus IRONdb allows users to identify areas where there is opportunity and challenges in real-time. It provides forensic, predictive and automated analytics capabilities that are unmatched by any other product. Machine learning can automatically establish a "new norm" for your data and operations as they change. Circonus IRONdb is compatible with Grafana which supports our analytics query language. We also work with Graphite-web and other visualization apps. Circonus IRONdb protects your data by storing multiple copies in a cluster IRONdb nodes. Clustering is often managed by system administrators, who spend considerable time maintaining it and keeping the system running. Circonus IRONdb allows operators the ability to set and forget their cluster and stop manually managing their time series data stores.

Hadoop has been an integral part of the data management landscape since 2010. The majority of organizations that have adopted Hadoop over the past decade to build their data lake infrastructure. Although Hadoop was a cost-effective method to store petabytes in a distributed environment, there were many complexities. The systems required IT skills that were specialized and the on-premises environments did not allow for the ability to scale up or down as the usage requirements changed. Cloud computing addresses the complexity and flexibility issues associated with Hadoop environments on-premises. Many companies have chosen to automate cloud data migration using WANdisco to reduce the risks and cost associated with modernizing their data. LiveData Migrator can be used as a self-service tool and does not require any WANdisco services or expertise.

Datametica's birds have unmatched capabilities, which help to eliminate business risks, time, frustration, anxiety, and cost from the entire process for data warehouse migration to cloud. Datametica's automated product suite allows you to migrate existing data warehouses, data lakes, ETL, Enterprise business intelligence, and other data to the cloud environment of choice. Designing an end to end migration strategy that includes workload discovery, assessment and planning. From the discovery and assessment of your data warehouse to the planning of the migration strategy, Eagle provides clarity on what needs to be migrated, in what order, how to streamline the process, and what the costs and timelines are. The integrated view of the workloads and planning minimizes migration risk without affecting the business.

It can be difficult to migrate data to the cloud. Bluemetrix Data Manager (BDM) will simplify the process. BDM automates complex data source ingestion and ensures that your pipelines are automatically configured to match new data sources as they change. BDM allows automation and processing data at scale in a secure environment. It also has smart GUI and API interfaces. Fully automated data governance makes it possible to streamline pipeline creation and record and store all actions in your catalog as the pipeline executes. Smart scheduling options and easy to create templates allow data consumers, both technical and business, to access Self Service capabilities. Free enterprise-grade data ingestion tool. It will automate the ingestion and creation of pipelines, as well as the smooth and rapid transfer of data from on-premise to the cloud.

We can no longer rely upon real-life conversations as physical customer interactions shift to digital. Customers communicate their intentions and share their needs using data. Data is a key tool for understanding customers and testing our assumptions. Privacy regulations like GDPR and CCPA make deep understanding more difficult. This gap in customer understanding is bridged by the MOSTLY AI synthetic dataset platform. Businesses can benefit from a reliable, high-quality generator of synthetic data in many different applications. The story doesn't end there. MOSTLY AI's synthetic dataset platform is more versatile than any other synthetic data generator. MOSTLY AI's versatility makes it an indispensable tool for software development and testing. From AI training to explainability and bias mitigation, governance to realistic test data, with subsetting, referential integrity.

SAS Visual Statistics allows multiple users to interactively explore data and then create and refine predictive models. Your statisticians and data scientists can use the most appropriate analytical modeling techniques to analyze your observations at a fine level. What will you get? The result? You can quickly build and refine models to target specific segments or groups, and run multiple scenarios simultaneously. To get better results, you can ask more "what-if" questions. You can also use an automatically generated score code to put your results into practice. Multiple users can interact with data visually. They can add, change, or remove outliers. You can instantly see how changes affect the predictive power of your model and make adjustments quickly. Data science teams have the freedom to work in the language they prefer, so they can make the most of their talents. SAS Visual Statistics combines all analytical assets.

SAS®, Viya®, data science offerings offer a comprehensive, scalable analytical environment that is quick and easy to use, allowing you to meet diverse business requirements. Automatically generated insights allow you to identify the most commonly used variables across all models, the most significant variables selected across models, and assess results for all models. Natural language generation capabilities allow you to create project summaries in plain language. This makes it easy to interpret reports. Analytics team members can add project notes and comments to the insights report to facilitate communication between team members. SAS allows you to embed open source code into an analysis and call open-source algorithms seamlessly within its environment. This allows for collaboration within your organization as users can program in the language they prefer. SAS Deep Learning with Python (DLPy) is also available on GitHub.

You can deliver customer experiences like never before with breakthrough data streaming capabilities Both the ecosystem and Kafka API are compatible. Redpanda BulletPredictable low latency with zero data loss. Redpanda BulletUp to 10x faster than Kafka Redpanda BulletEnterprise-grade support and hotfixes. Redpanda BulletAutomated backups for S3/GCS. Redpanda Bullet100% freedom of routine Kafka operations. Redpanda BulletSupports for AWS/GCP. Redpanda was built from the ground up to be easy to install and get running quickly. Redpanda's power will be evident once you have tried it in production. You can use the more advanced Redpanda functions. We manage all aspects of provisioning, monitoring, as well as upgrades. We do not have access to your cloud credentials. Sensitive data never leaves your environment. You can have it provisioned, operated, maintained, and updated for you. Configurable instance types. As your needs change, you can expand the cluster.

Responsive apps keep developers motivated and users engaged. With the DataStax Astra streaming service platform, you can meet these ever-increasing demands. DataStax Astra Streaming, powered by Apache Pulsar, is a cloud-native messaging platform and event streaming platform. Astra Streaming lets you build streaming applications on top a multi-cloud, elastically scalable and event streaming platform. Apache Pulsar is the next-generation event streaming platform that powers Astra Streaming. It provides a unified solution to streaming, queuing and stream processing. Astra Streaming complements Astra DB. Astra Streaming allows existing Astra DB users to easily create real-time data pipelines from and to their Astra DB instances. Astra Streaming allows you to avoid vendor lock-in by deploying on any major public cloud (AWS, GCP or Azure) compatible with open source Apache Pulsar.