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"REST" In Peace: Why GraphQL Is Better Then REST API

Brian DeWyer
Reveille Software

Many organizations rely on enterprise content systems to deliver their information efficiently. However, these content services (heavy applications) must integrate with various applications and services to ensure smooth operation. This integration is not an afterthought; it's a critical component for enabling consistency, collaboration, and streamlining the entire data interaction process. And with no-code/low-code themes in Robotic Process Automation (RPA) and Intelligent Automation product sets typically seen in modern content services applications, less is more to accelerate solution delivery.

To accomplish application integrations, IT developers will increasingly have a choice between GraphQL and REST APIs for web client interfaces. Facebook developed GraphQL, now an open-source query language and runtime for APIs. By contrast, Representational State Transfer Application Programming Interface, or REST API, is an architectural style for network application design.

But which one is better? Spoiler alert: it's GraphQL, and here's why ...

REST API Limitations

REST API is a set of rules that enable communication between different software applications over the internet and is widely used for web services and integration purposes. The software offers simplicity, scalability and is platform-independent. However, these advantages come with notable drawbacks. Among these drawbacks are:

Over-fetching and under-fetching data. The over-fetching limitation promotes wasted bandwidth and processing resources, while under-fetching causes additional data requests because all the requested information is unavailable in a single REST endpoint request.

Multiple round trips. Frequently REST APIs require multiple trips to the server to retrieve data. The yo-yo activity increases latency, impacts response times, and hampers the efficiency of content retrieval operations.

Lack of flexibility in data retrieval and manipulation. Traditional APIs usually expose predefined endpoints and fixed data structures, limiting the flexibility for retrieving and manipulating content. This lack of flexibility poses challenges when specific data needs or transformations arise.

Architecture limitations. There are no standards for the implementation of REST APIs. Traditional APIs are often built on monolithic architectures, where all functionalities and data access are tightly coupled. This restricts the ability to scale and evolve individual components independently, hindering agility and innovation.

GraphicQL, The Clear Choice

Compared to REST APIs, GraphQL offers a more efficient approach to specifying and retrieving data without all the wasted network resources and bandwidth. GraphicQL emerges as the clear winner for these reasons:

Efficient and precise queries. The most noticeable difference between GraphQL and REST API is that GraphQL eliminates the problem of over-fetching or under-fetching data. Clients can retrieve multiple resources and their associated fields in a single request.

Strong typing system. GraphQL defines data structures and their relationships better than REST APIs. Using a type system that defines the capabilities of the API, GraphQL allows clients to validate the correctness of their queries, ensures that clients receive the expected data shape, and helps prevent runtime errors.

Single endpoint. GraphQL typically exposes a single endpoint, meaning clients don't need to make multiple requests to different endpoints for data searches. This simplifies the client-side implementation and reduces the number of network requests needed to retrieve data.

Ecosystem and tooling. Because it's an open-source option, GraphQL has a growing ecosystem with various tools and libraries for different programming languages and frameworks. These tools provide developers with helpful features such as code generation, schema stitching, caching, and debugging.

No More Resting On Your Laurels REST API

Enterprise data and its associated relationships are getting more complex every day. The increased complexity means that enterprise content management applications must improve data retrieval, performance and establish a seamless integration with other systems.

GraphQL emerges as a better choice for content management over REST API in a side-by-side comparison. The efficiency, flexibility, and enhanced developer experience provided by GraphQL displays the clear advantages of efficiency, flexibility, and improved developer experience. That's why GraphQL is the recommended development API for IBM FileNet applications. When it comes to harnessing the complete capabilities of content systems, GraphQL gives a competitive edge in the content management landscape.

Brian DeWyer is CTO and Co-Founder of Reveille Software

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"REST" In Peace: Why GraphQL Is Better Then REST API

Brian DeWyer
Reveille Software

Many organizations rely on enterprise content systems to deliver their information efficiently. However, these content services (heavy applications) must integrate with various applications and services to ensure smooth operation. This integration is not an afterthought; it's a critical component for enabling consistency, collaboration, and streamlining the entire data interaction process. And with no-code/low-code themes in Robotic Process Automation (RPA) and Intelligent Automation product sets typically seen in modern content services applications, less is more to accelerate solution delivery.

To accomplish application integrations, IT developers will increasingly have a choice between GraphQL and REST APIs for web client interfaces. Facebook developed GraphQL, now an open-source query language and runtime for APIs. By contrast, Representational State Transfer Application Programming Interface, or REST API, is an architectural style for network application design.

But which one is better? Spoiler alert: it's GraphQL, and here's why ...

REST API Limitations

REST API is a set of rules that enable communication between different software applications over the internet and is widely used for web services and integration purposes. The software offers simplicity, scalability and is platform-independent. However, these advantages come with notable drawbacks. Among these drawbacks are:

Over-fetching and under-fetching data. The over-fetching limitation promotes wasted bandwidth and processing resources, while under-fetching causes additional data requests because all the requested information is unavailable in a single REST endpoint request.

Multiple round trips. Frequently REST APIs require multiple trips to the server to retrieve data. The yo-yo activity increases latency, impacts response times, and hampers the efficiency of content retrieval operations.

Lack of flexibility in data retrieval and manipulation. Traditional APIs usually expose predefined endpoints and fixed data structures, limiting the flexibility for retrieving and manipulating content. This lack of flexibility poses challenges when specific data needs or transformations arise.

Architecture limitations. There are no standards for the implementation of REST APIs. Traditional APIs are often built on monolithic architectures, where all functionalities and data access are tightly coupled. This restricts the ability to scale and evolve individual components independently, hindering agility and innovation.

GraphicQL, The Clear Choice

Compared to REST APIs, GraphQL offers a more efficient approach to specifying and retrieving data without all the wasted network resources and bandwidth. GraphicQL emerges as the clear winner for these reasons:

Efficient and precise queries. The most noticeable difference between GraphQL and REST API is that GraphQL eliminates the problem of over-fetching or under-fetching data. Clients can retrieve multiple resources and their associated fields in a single request.

Strong typing system. GraphQL defines data structures and their relationships better than REST APIs. Using a type system that defines the capabilities of the API, GraphQL allows clients to validate the correctness of their queries, ensures that clients receive the expected data shape, and helps prevent runtime errors.

Single endpoint. GraphQL typically exposes a single endpoint, meaning clients don't need to make multiple requests to different endpoints for data searches. This simplifies the client-side implementation and reduces the number of network requests needed to retrieve data.

Ecosystem and tooling. Because it's an open-source option, GraphQL has a growing ecosystem with various tools and libraries for different programming languages and frameworks. These tools provide developers with helpful features such as code generation, schema stitching, caching, and debugging.

No More Resting On Your Laurels REST API

Enterprise data and its associated relationships are getting more complex every day. The increased complexity means that enterprise content management applications must improve data retrieval, performance and establish a seamless integration with other systems.

GraphQL emerges as a better choice for content management over REST API in a side-by-side comparison. The efficiency, flexibility, and enhanced developer experience provided by GraphQL displays the clear advantages of efficiency, flexibility, and improved developer experience. That's why GraphQL is the recommended development API for IBM FileNet applications. When it comes to harnessing the complete capabilities of content systems, GraphQL gives a competitive edge in the content management landscape.

Brian DeWyer is CTO and Co-Founder of Reveille Software

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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