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DreamFactory is an API management platform used to generate, secure, document, and extend APIs. The platform is used within a wide variety of sectors, including banking, auto manufacturing, online gaming, consulting, and government.
Perhaps best known for its API generation capabilities, the platform can generate APIs for 20 databases including MySQL, Microsoft SQL Server, Oracle, and MongoDB, among others. Generators are also available for Excel, AWS S3, email delivery providers, and IoT.
Authentication and security is another core feature. APIs can be authenticated using API keys, Active Directory, LDAP, OAuth, OpenID Connect, SAML 2.0, and Okta. A robust yet convenient set of role-based access controls (RBACs) allow administrators to easily create highly tailored API access rules.
DreamFactory's scripting engine supports PHP, Python (version 2 and 3) and NodeJS. Developers can use the engine to create entirely scripted APIs which incorporate third-party libraries and packages. The scripting engine can also be used to extend existing endpoints, allowing developers to implement API composition, apply data masking and hiding, response transformation, and more.
Recently added features include restricted administrators, API scheduling, API auditing, and API generation connectors for Snowflake, Hadoop, and Apache Hive.
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Based on our record, Apache Flink seems to be a lot more popular than DreamFactory. While we know about 27 links to Apache Flink, we've tracked only 1 mention of DreamFactory. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / 27 days ago
Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 3 months ago
Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 5 months ago
Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 5 months ago
Due to the technology transformation we want to do recently, we started to investigate Apache Iceberg. In addition, the data processing engine we use in house is Apache Flink, so it's only fair to look for an experimental environment that integrates Flink and Iceberg. - Source: dev.to / 5 months ago
Dreamfactory.com — Open source REST API backend for mobile, web, and IoT applications. Hook up any SQL/NoSQL database, file storage system, or external service and it instantly creates a comprehensive REST API platform with live documentation, user management,... - Source: dev.to / almost 3 years ago
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Postman - The Collaboration Platform for API Development
Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
MuleSoft Anypoint Platform - Anypoint Platform is a unified, highly productive, hybrid integration platform that creates an application network of apps, data and devices with API-led connectivity.
Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.
AWS CloudTrail - AWS CloudTrail is a web service that records AWS API calls for your account and delivers log files to you.