Amazon DynamoDB Integrations

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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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.

Build secure apps 10x faster. Low code tool and low cost deployment. Own your user data in your preferred database. Authenticate users with multiple auth recipes. Authorize users based on your business roles. OAuth2 and OpenID compatible APIs. Authentication and authorization have never been this simple before. Deploy production-ready Authorizer instance using one-click deployment options available. Open Authorizer instance endpoint in the browser. Sign up as an admin with a secure password. Configure environment variables from the dashboard. Authorizer object can be instantiated with JSON object. You can use Authorizer off the shelf and provide an amazing digital experience in just 3 minutes. We rather have you focused on your core business and build stuff that matters. Auth with best services baked in. Secure Session management implemented with HTTP-only cookies. Authorization Code flow implemented for mobile-based auth.

Search across more than 20+ resource types and quickly jump to the AWS console across accounts and regions. Context-aware syntax highlighting helps you spot relevant information in your Cloudwatch logs. Quickly scan and query your DynamoDB tables and find your data with a full-text search. Lola is a blazingly fast desktop app for macOS, Windows, and Linux. Just install and run - no changes to your AWS account are required.

Model improvement and incremental model updates scenario analysis through simulations using historical data. Collaborate easily with data governance, access management, and version control. Ikigai’s out-of-the-box integrations make it easy to work with all kinds of tools that are already part of your workflows. Plug into almost any data source you can think of with Ikigai’s 200+ connectors. Want to push your ML pipeline to a website or dashboard? Just integrate directly using Ikigai’s web integrations. Use triggers to run data synchronizations and retrieve updates each time you run a data automation flow. Hook into your own APIs, or create APIs for your own data stack to integrate seamlessly with Ikigai.

PartiQL's extensions to SQL are easy to understand, treat nested data as first class citizens and compose seamlessly with each other and SQL. This enables intuitive filtering, joining and aggregation on the combination of structured, semistructured and nested datasets. PartiQL enables unified query access across multiple data stores and data formats by separating the syntax and semantics of a query from the underlying format of the data or the data store that is being accessed. It enables users to interact with data with or without regular schema. PartiQL syntax, semantics, the embeddable reference interpreter, CLI, test framework, and tests are licensed under the Apache License, version 2.0, allowing you to freely use, copy, and distribute your changes under the terms of your choice.

We give you everything you need to build your tool with no code. Create multiple apps with Blaze and easily connect them together to supercharge your team's processes. And when we say all-in-one, we mean it. Our Implementation Team helps build your app from start to finish so you can focus on growing your business. Enjoy our fully customizable templates and start launching apps like customer portals and internal tools that move your business forward. Leverage Blaze's ChatGPT AI system to help you build your app. Make tables that visualize your database, look up data, add forms, and more. You can also easily drag-and-drop pre-made Blaze components to build your app. Use Blaze's no-code database or connect into your own database to create incredible, custom tools. Be the ultimate value-add player on your team without writing any code.

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Codified comes with built-in with a data catalog, policy engine, and workflow manager. Customers get an agile, streamlined data governance solution that reduces operational costs, increases productivity, and improves security. Often, data access controls are written as ACLs or JSON policies. These are tedious and challenging to both read and write. Most importantly, they are incomplete. You can't express your organization's policy in ACLs. With Codified, we enable you to write all of your policies in simple English and provide steps to validate the correctness and completeness of these.

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Singer describes how data extraction scripts called “taps” and data loading scripts called “targets” should communicate, allowing them to be used in any combination to move data from any source to any destination. Send data between databases, web APIs, files, queues, and just about anything else you can think of. Singer taps and targets are simple applications composed with pipes—no daemons or complicated plugins needed. Singer applications communicate with JSON, making them easy to work with and implement in any programming language. Singer also supports JSON Schema to provide rich data types and rigid structure when needed. Singer makes it easy to maintain state between invocations to support incremental extraction.

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Build apps faster with ML-powered coding companion. Accelerate application development with automatic code recommendations based on the code and comments in your IDE. Empower developers to use artificial intelligence (AI) responsibly to create syntactically correct and secure applications. Generate entire functions and logical code blocks without having to search and customize code snippets from the web. Stay focused and never leave the IDE, with real-time customized code recommendations for all your Java, Python, and JavaScript projects. Amazon CodeWhisperer is a machine learning (ML)–powered service that helps improve developer productivity by generating code recommendations based on their comments in natural language and code in the integrated development environment (IDE). Accelerate frontend and backend development by empowering developers with automatic code recommendations. Save time and effort by using CodeWhisperer to generate code to build and train your ML models.