Best Application Development Software for IBM Cloudant

DbVisualizer is one of the world’s most popular database clients. Developers, analysts, and DBAs use it to advance their SQL experience with modern tools to visualize and manage their databases, schemas, objects, and table data and to auto-generate, write and optimize queries. It has extended support for 30+ of the major databases and has basic-level support for all databases that can be accessed with a JDBC driver. DbVisualizer runs on all major OSes. Free and Pro versions are available.

Continuous delivery of any app to any environment. IBM DevOps Deploy, formerly IBM UrbanCode Deploy, is an application-release tool that combines continuous deployment and deployment automation capabilities with robust visibility and auditing capabilities. Automated, repeatable software deployment processes in development, testing, and production will increase the frequency of software release. Simplify and repeat the deployment of multichannel apps to all environments, on premises or in cloud, with consistency. Use a centralized server to manage thousands of endpoints across clouds, data centres or mainframes. Use tested integrations to make processes more robust and easier for designers. These include Jira, Jenkins Kubernetes Microsoft, ServiceNow, WebSphere, and ServiceNow.

StarfishETL is a Cloud iPaaS solution, which gives it the unique ability to connect virtually any kind of solution to any other kind of solution as long as both of those applications have an API. This gives StarfishETL customers ultimate control over their data projects, with the ability to build more unique and scalable data connections.

Integrate your data sources including relational and NoSQL database, SaaS and APIs. You can query them immediately as a single source of data. Process data wherever you are. Data from different sources can be merged, retrieved, and cached. Use webhooks for streaming data from Kafka or Segment into the Peaka Table. Real-time data access replaces nightly batch ingestion. Treat each data source as a relational database. Convert any API into a table and combine and join it with other data sources. Use familiar SQL to run queries on NoSQL databases. The same skills can be used to retrieve data from SQL and NoSQL database. You can query and filter your consolidated datasets to create new data sets. Use APIs to expose them and serve other apps or systems. Don't get bogged down with scripts and logs when setting up your data stack. Eliminate the burdens of managing and maintaining ETL pipelines.

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.

IBM®, Messages for RabbitMQ (IBM Cloud®, supports multiple messaging protocols as an agent. It allows you to route, track, and queue messages with customizable persistence settings, delivery settings, and publish confirmations. Get to global scale with integrated, infrastructure-as-code tools, such as IBM Cloud Schematics with Terraform and Red Hat® Ansible® support at no additional charge. IBM® Key Protect allows you to bring your own encryption keys. Each deployment supports private networking, auditing in-database, and many other features. Messages for RabbitMQ allow you to scale disk or RAM to meet your needs. You can easily grow with elasticity by calling an API. The service is compatible to RabbitMQ data formats, APIs, and clients. Messages for RabbitMQ can be used as an alternative to RabbitMQ. The standard configuration has three data members that are high-availability. Multiple availability zones are used for deployments.