Vert.x Integrations

Redis Labs is the home of Redis. Redis Enterprise is the best Redis version. Redis Enterprise is more than a cache. Redis Enterprise can be free in the cloud with NoSQL and data caching using the fastest in-memory database. Redis can be scaled, enterprise-grade resilience, massive scaling, ease of administration, and operational simplicity. Redis in the Cloud is a favorite of DevOps. Developers have access to enhanced data structures and a variety modules. This allows them to innovate faster and has a faster time-to-market. CIOs love the security and expert support of Redis, which provides 99.999% uptime. Use relational databases for active-active, geodistribution, conflict distribution, reads/writes in multiple regions to the same data set. Redis Enterprise offers flexible deployment options. Redis Labs is the home of Redis. Redis JSON, Redis Java, Python Redis, Redis on Kubernetes & Redis gui best practices.

The Java™, Programming Language is a general purpose, concurrent, strongly typed and class-based object-oriented programming language. It is usually compiled according to the Java Virtual Machine Specification's bytecode instruction set. All source code in the Java programming language is first written in plain text files that end with the.java extension. The javac compiler compiles these source files into.class files. A.class file doesn't contain native code for your processor. Instead, it contains bytecodes (the machine language of the Java Virtual Machine1 [Java VM]). The java launcher tool will then run your application with an instance Java Virtual Machine.

The Apache Cassandra database provides high availability and scalability without compromising performance. It is the ideal platform for mission-critical data because it offers linear scalability and demonstrated fault-tolerance with commodity hardware and cloud infrastructure. Cassandra's ability to replicate across multiple datacenters is first-in-class. This provides lower latency for your users, and the peace-of-mind that you can withstand regional outages.

RabbitMQ is lightweight, portable, and easy to use on the premises or in the cloud. It supports multiple messaging protocols. RabbitMQ can both be deployed in distributed or federated configurations to meet high availability and scale requirements.

Apache Kafka®, is an open-source distributed streaming platform.

MySQL is the most widely used open-source database in the world. MySQL is the most popular open source database for web-based applications. It has been proven to be reliable, performant, and easy-to-use. This database is used by many high-profile web properties, including Facebook, Twitter and YouTube. It is also a popular choice for embedded databases, distributed by thousands ISVs and OEMs.

MongoDB is a distributed database that supports document-based applications and is designed for modern application developers. No other database is more productive. Our flexible document data model allows you to ship and iterate faster and provides a unified query interface that can be used for any purpose. No matter if it's your first customer, or 20 million users worldwide, you can meet your performance SLAs in every environment. You can easily ensure high availability, data integrity, and meet compliance standards for mission-critical workloads. A comprehensive suite of cloud database services that allows you to address a wide range of use cases, including transactional, analytical, search, and data visualizations. Secure mobile apps can be launched with native, edge to-cloud sync and automatic conflicts resolution. MongoDB can be run anywhere, from your laptop to the data center.

Microsoft SQL Server 2019 includes intelligence and security. You get more without paying extra, as well as best-in-class performance for your on-premises requirements. You can easily migrate to the cloud without having to change any code. Azure makes it easier to gain insights and make better predictions. You can use the technology you choose, including open-source, and Microsoft's innovations to help you develop. Integrate data into your apps easily and access a rich set cognitive services to build human-like intelligence on any data scale. AI is built into the data platform, so you can get insights faster from all of your data, both on-premises or in the cloud. To build an intelligence-driven company, combine your enterprise data with the world's data. You can build your apps anywhere with a flexible platform that offers a consistent experience across platforms.

It is easy to learn, so you can quickly create powerful applications. Compatible with the Java ecosystem. You can use your favorite JVM libraries and frameworks. You can share application logic between desktop, mobile, and web platforms while still providing a native experience for users. You can save time and have unlimited access to the features that are specific to these platforms. Kotlin is supported by many people and has a large global community. Enjoy the rich ecosystem of community libraries and the many benefits it offers. You can always count on the Kotlin team for assistance. Kotlin Multiplatform Mobile SDK is available for Android and iOS app development. It combines the best of native and cross-platform apps. You can maintain a single codebase that handles all aspects of your Android and iOS apps, including data storage, networking, analytics, and other logic.

IBM Db2®, a family of hybrid data management tools, offers a complete suite AI-empowered capabilities to help you manage structured and unstructured data both on premises and in private and public clouds. Db2 is built upon an intelligent common SQL engine that allows for flexibility and scalability.

JSON (JavaScript Object Notation), is a lightweight format for data-interchange. It is easy to read and write. It is easy for machines and humans to generate and parse. It is based upon a subset the JavaScript Programming Language Standard ECMA-262 (3rd Edition - Dec 1999). JSON is a text format which is completely language-independent but still uses conventions familiar to programmers of the C family of languages. This includes C++, C# JavaScript, JavaScript, Perl and Python. These properties make JSON a great data-interchange language. JSON is built upon two structures: 1. A collection of name/value pair. This can be realized in many languages as an object, record or struct. 2. An ordered list of values. This can be expressed in most languages as an array, vector or list. These are universal data structures. They are supported by almost all modern programming languages in one way or another.

Red Hat Runtimes is a collection of products, tools and components that allow you to develop and maintain cloud-native apps. It provides lightweight runtimes and frameworks, like Quarkus, for distributed cloud architectures such as microservices. It provides a variety of runtimes and frameworks so that architects and developers can choose the right tool to accomplish the task. Quarkus, Spring Boot and Vert.x are supported. A distributed, in-memory data management system that allows for fast access to large data volumes and scale. A web-based identity management system that allows developers to offer single sign-on capabilities. It is based on industry standards for enterprise safety. A message broker that provides specialized queueing behavior, message persistence, and management. Open source Java™, standard edition (Java SE), of the Java™, platform. Supported and maintained by the OpenJDK Community.

Oracle database products offer customers cost-optimized, high-performance versions Oracle Database, the world's most popular converged, multi-model database management software. They also include in-memory NoSQL and MySQL databases. Oracle Autonomous Database is available on-premises via Oracle Cloud@Customer and in the Oracle Cloud Infrastructure. It allows customers to simplify relational databases environments and reduce management burdens. Oracle Autonomous Database reduces the complexity of operating and protecting Oracle Database, while delivering the highest levels performance, scalability and availability to customers. Oracle Database can also be deployed on-premises if customers have network latency and data residency concerns. Customers who depend on Oracle database versions for their applications have full control over which versions they use and when they change.

In-Memory Computing Platform. Digital world is different. Microseconds are important. The world's most important organizations rely on us for powering their most sensitive applications at scale. If they meet the current requirement for immediate access, new data-enabled apps can transform your business. Hazelcast solutions can be used to complement any database and deliver results that are much faster than traditional systems of record. Hazelcast's distributed architecture ensures redundancy and continuous cluster up-time, as well as always available data to support the most demanding applications. The capacity grows with demand without compromising performance and availability. The cloud delivers the fastest in-memory data grid and third-generation high speed event processing.

PostgreSQL, a powerful open-source object-relational database system, has over 30 years of experience in active development. It has earned a strong reputation for reliability and feature robustness.

ZooKeeper is a central service that maintains configuration information, naming, distributed synchronization and provides group services. Distributed applications use all of these services in some way. There is a lot of work involved in fixing bugs and other race conditions. These kinds of services are difficult to implement so applications often skimp on them at the beginning. This makes them fragile and difficult to manage in the face of change. Even if the services are implemented correctly, there can be multiple implementations that lead to complexity in management when the applications are deployed.

You can use Ignite as a traditional SQL Database by leveraging JDBC drivers or ODBC drivers. Or, you can use the native SQL APIs for Java, C# and C++, Python, or other programming languages. You can easily join, group, aggregate, or order your distributed on-disk and in-memory data. You can accelerate your existing applications up to 100x by using Ignite as an in memory cache or in-memory grid that is deployed over one of several external databases. You can query, transact, and calculate on this cache. Ignite is a database that scales beyond your memory capacity to support modern transactional and analytical workloads. Ignite allocates memory to your hot data and writes to disk when applications query cold records. Execute custom code up to kilobytes in size over petabytes. Your Ignite database can be transformed into a distributed supercomputer that can perform low-latency calculations, complex analysis, and machine learning.

Infinispan, an open-source, in-memory data grid, offers flexible deployment options as well as robust capabilities for managing, storing, and processing data. Infinispan is a key/value storage that can store all types of data, including Java objects and plain text. Infinispan uses elastically scalable clusters to distribute your data, ensuring high availability and fault tolerance. Infinispan boosts applications by storing data closer than processing logic. This reduces latency, increases throughput, and speeds up the process. Infinispan is available as a Java library. Simply add Infinispan as a dependency to your Java application and you are ready to store data within the same memory space that the executing code.

GraphQL is a query engine for APIs that can be used to create queries using your existing data. GraphQL gives clients the ability to ask for the data they need. It makes it easy to develop APIs over time and allows developers to use powerful tools. Send a GraphQL query directly to your API to get exactly what you want. GraphQL queries always return predictable results. GraphQL apps are stable and fast because they control the data they receive, not the server. GraphQL queries not only access the properties of a resource, but also follow references between them. GraphQL APIs can access all data required by your app in a single request, unlike REST APIs that require multiple URLs to load. GraphQL apps can be fast even with slow mobile network connections.

Telemetry that is portable, ubiquitous, and high-quality to allow effective observation. OpenTelemetry is an open-source collection of APIs and SDKs. It can be used to instrument, generate logs, logs, or traces telemetry data to analyze the performance and behavior of your software. OpenTelemetry can be used in many languages. You can create and collect telemetry data using your software and services, and then forward them to various analysis tools. OpenTelemetry can be integrated with popular frameworks and libraries like ASP.NET Core Express, Quarkus, Spring, and ASP.NET Core. Integration is as easy as writing a few lines. OpenTelemetry is 100% free and open source. It is supported by industry leaders in observability.