Best Application Development Software for AWS Glue

New Relic empowers enterprise application developers with a comprehensive, data-driven approach to planning, building, deploying, and managing software. Our unified data platform aggregates all telemetry data, providing robust full-stack analysis tools that offer valuable insights across every stage of the development lifecycle. Built for large-scale environments, New Relic enables swift issue identification and resolution, ensuring optimal performance and enhanced reliability. Streamline workflows, uncover root causes, and foster continuous improvement and innovation. With New Relic, deliver exceptional customer experiences, speed up development cycles, and drive growth with powerful capabilities tailored to enterprise application development.

AWS Step Functions, a serverless function orchestrator, makes it easy to sequence AWS Lambda and multiple AWS services into business critical applications. It allows you to create and manage a series event-driven and checkpointed workflows that maintain the application's state. The output of each step acts as an input for the next. Your business logic dictates that each step of your application runs in the right order. It can be difficult to manage a series serverless applications, manage retries, or debugging errors. The complexity of managing distributed applications increases as they become more complex. Step Functions, which has built-in operational controls manages state, sequencing, error handling and retry logic. This removes a significant operational burden from your staff. AWS Step Functions allows you to create visual workflows that allow for fast translation of business requirements into technical specifications.

CData Connect Real-time operational and business data is critical for your organization to provide actionable insights and drive growth. CData Connect is the missing piece in your data value chain. CData Connect allows direct connectivity to any application that supports standard database connectivity. This includes popular cloud BI/ETL applications such as: - Amazon Glue - Amazon QuickSight Domo - Google Apps Script - Google Cloud Data Flow - Google Cloud Data Studio - Looker - Microsoft Power Apps - Microsoft Power Query - MicroStrategy Cloud - Qlik Sense Cloud - SAP Analytics Cloud SAS Cloud SAS Viya - Tableau Online ... and many other things! CData Connect acts as a data gateway by translating SQL and securely proxying API calls.

AWS App Mesh provides service mesh to facilitate communication between your services across different types of computing infrastructure. App Mesh provides visibility and high availability to your applications. Modern applications often include multiple services. Each service can be developed using different types of compute infrastructure such as Amazon EC2, Amazon ECS and Amazon EKS. It becomes more difficult to spot errors and redirect traffic after they occur, and to safely implement code changes. This was done by creating monitoring and control logic in your code and then redeploying your services whenever there were changes.

Progress DataDirect is passionate about empowering applications with enterprise data. We offer cloud and on-premises connectivity solutions for relational, NoSQL and Big Data data sources. We design solutions for thousands of companies and top vendors in analytics, data management, and BI. Our high-value connectors are designed to reduce development costs for a variety data sources. For greater security and peace of mind, you can get 24/7 support from experts around the world. For faster SQL access, connect with easy-to-use and time-saving drivers. Our mission is to keep up with the changing trends in data connectivity. If we don't have the connector you need, we will help you design it. Integrate connectivity into an application or service.

For underlying data compatible with most popular data integration and analytical tools, build standards-based connectivity (ODBC/JDBC, ADO.NET). You can hide or expose personally identifiable information that should not be visible to all users only on a strictly need-to-know basis. OpenAccess SDK allows developers to manage 99% of the code needed to create a standards-based driver that supports SQL support. OpenAccess SDK allows you to quickly create a standards-based driver with SQL support that is ASNI-SQL compatible ODBC, JDBC or ADO.NET for your specific requirements without having to have domain expertise or the heavy lifting of full code development. You can quickly create a custom driver with our pre-built addons, or directly develop against SDK interfaces. This is the fastest way to make your application compatible for data-centric tools such as ETL and analytics. Allows you to implement a single interface for data access using all standards-based APIs.

Saagie's cloud data factory allows you to create and manage your data & AI project in a single interface. It can be deployed in just a few seconds. Saagie data factories allows you to develop your AI models and test them in a safe environment. With a single interface, you can get your data and AI project off the ground and centralize your team to make rapid progress. Saagie is the platform for you, no matter what your maturity level. From your first data project, to a data and AI-driven strategy. Unifying your work onto a single platform will simplify your workflows, increase your productivity and help you make better decisions. Orchestrate your data pipelines to transform raw data into powerful insights. Quickly access the information you require to make better decisions. Simplify management and scaleability of your AI and data infrastructure. Accelerate your AI, deep learning, and machine learning models.

Amazon SageMaker Studio (IDE) is an integrated development environment that allows you to access purpose-built tools to execute all steps of machine learning (ML). This includes preparing data, building, training and deploying your models. It can improve data science team productivity up to 10x. Quickly upload data, create notebooks, tune models, adjust experiments, collaborate within your organization, and then deploy models to production without leaving SageMaker Studio. All ML development tasks can be performed in one web-based interface, including preparing raw data and monitoring ML models. You can quickly move between the various stages of the ML development lifecycle to fine-tune models. SageMaker Studio allows you to replay training experiments, tune model features, and other inputs, and then compare the results.