Popular Java Frameworks for Developers

For developers asking what the most popular Java frameworks are, Spring and Spring Boot lead the strongest broad survey evidence reviewed here. In the Eclipse Foundation’s 2024 cloud-native Java survey, 63% of respondents selected Spring/Spring Boot as a top technology for building cloud-native applications. Jakarta EE followed at 60%, and MicroProfile at 32%. These are survey results from a defined group, not universal market-share figures; Jakarta EE and MicroProfile are specification-based ecosystems that can work alongside frameworks rather than direct substitutes for them.

The practical shortlist is Spring Boot for teams that want the Spring ecosystem and a ready application setup; Quarkus for projects targeting Kubernetes and cloud-native Java; and Micronaut as another JVM framework to evaluate. Compare them against your architecture, compatibility needs, team familiarity, and measurements from your own application.

What “popular” means in the available Java surveys

Popularity depends on whom a survey reaches and what its question counts. The most substantial dated evidence here is the Eclipse Foundation’s 2024 Jakarta EE Developer Survey, with 1,409 participants. It ran from 19 March to 31 May 2024 and was promoted through social channels, foundation and Jakarta EE websites, newsletters, blogs, and community partners. It is useful evidence about its respondents and cloud-native Java, but it is not a random census of all Java developers. Eclipse Foundation 2024 survey report.

Technology	2024 result	2023 result	How to read it
Spring / Spring Boot	63%	66%	Top technology for building cloud-native applications among survey respondents
Jakarta EE	60%	53%	Specification-based enterprise Java ecosystem
MicroProfile	32%	26%	Specifications for building microservices and cloud-native applications

The percentages describe responses to the survey’s technology question; they are not shares of all Java applications, developers, or production servers. The report also cautions that Spring/Spring Boot and MicroProfile need not compete: they rely on some Jakarta EE specifications, and the technologies may coexist.

A separate survey counts runtimes too

A different 2024 Cloud Native Java Survey had over 170 respondents and asked about runtimes. It reported Spring Boot at 38%, Tomcat at 33%, Quarkus at 32%, and WildFly at 31%. Its field period was 11 July to 23 August 2024. Since this survey has a different respondent count and a broader runtime-oriented question, its figures should not be merged with or ranked directly against the 1,409-person survey. Eclipse Foundation / Jakarta EE Working Group survey reports.

That smaller survey also reported Jakarta REST API usage at 70%, CDI at 68%, and Persistence/JPA at 66%. These are API usage results, not framework adoption percentages. Tomcat and WildFly are runtimes or implementations in this context, not direct equivalents to every application framework.

Frameworks, runtimes, and specifications are different choices

Category	What you choose	Examples in this guide
Application framework	Programming model, application setup, integrations, and conventions	Spring Boot, Quarkus, Micronaut
Runtime or server	Environment that hosts and runs an application	Tomcat, WildFly
Specifications and APIs	Standards that define APIs and behavior; implementations provide them	Jakarta EE, MicroProfile

The categories can overlap in an architecture. A framework can use or implement standard APIs, and an application can run on a server. Before comparing survey numbers or planning a migration, establish whether you are choosing a framework, a runtime, a set of APIs, or several of these together.

Popular Java framework and platform profiles

Spring Boot

Spring Boot is a sound lead option when you want to build a stand-alone, production-grade Spring application with embedded servers and opinionated configuration. Those project characteristics make it a practical starting point for teams already using Spring or seeking its ecosystem. The survey evidence puts Spring/Spring Boot first among the named cloud-native technologies in the larger 2024 survey, but that does not establish that it is the best choice for every application. Read the official Spring Boot project page.

Quarkus

Quarkus positions itself for Kubernetes and cloud-native Java. Evaluate it when those deployment contexts match your target, and verify compatibility with the libraries, APIs, and operational environment your application needs. The evidence in this guide does not establish universal startup-time, memory, or throughput advantages; measure those against your own workload. See the official Quarkus project page.

Micronaut

Micronaut is another JVM framework worth shortlisting. The reviewed evidence confirms its project documentation and ecosystem, but does not give a comparable adoption percentage for it. Assess it using the same project-specific compatibility, integration, and operational checks as the other frameworks. See the official Micronaut project page.

Jakarta EE and MicroProfile

Jakarta EE and MicroProfile are specification-based technologies. Jakarta EE defines enterprise Java APIs, and MicroProfile provides specifications for microservices and cloud-native concerns. Implementations and frameworks can provide these APIs; an application may use them with a framework rather than choosing one as an exclusive replacement for Spring Boot. The survey report explicitly warns that the technologies are not necessarily competing. Confirm which specifications your code and dependencies use before deciding what a migration would involve.

Tomcat and WildFly

Tomcat and WildFly appear in the smaller survey’s runtime results. Treat them as server or runtime choices in that comparison. Whether one is appropriate depends on how your application is packaged and which APIs, deployment model, and operations environment it requires.

How to choose for a real project

Name the thing you are choosing. Decide whether the open question is an application framework, runtime, specification set, or a combination.
Write down deployment constraints. Record the target platform, packaging and deployment model, scaling pattern, and any cloud or Kubernetes requirements.
Check compatibility before rewriting. Inventory Java and Jakarta APIs, libraries, integrations, and existing deployment assumptions. Estimate migration work from concrete dependencies rather than framework reputation.
Compare the ecosystem you need. Verify that the integrations and APIs required by your application are available and supported in the candidate stack.
Account for the team. Familiarity, support requirements, onboarding, and the ability to operate the application are practical selection criteria.
Measure the workload that matters. If startup, memory, throughput, or latency matters, run a comparable test with the same application behavior, dependencies, environment, and workload. Survey popularity cannot answer those questions.
Choose based on fit, then document the tradeoff. Keep the survey as context. Record why the selected framework, runtime, and APIs match the project so a later migration decision has a useful baseline.

Common comparison mistakes

Calling survey results market share: the larger survey is not a random census. Describe its population and question instead.
Combining the two 2024 surveys: participant counts, field periods, and question scopes differ. Keep their results separate.
Calling Jakarta EE a single framework: it is a specification-based ecosystem with APIs and implementations.
Treating MicroProfile as mutually exclusive with Spring: the survey report says these technologies are not necessarily competitors and notes that both rely on some Jakarta EE specifications.
Comparing frameworks with servers as if they were the same category: first determine whether a result refers to an application framework or a runtime.
Inferring performance from positioning: official project goals do not prove how an application will behave. Benchmark the same workload and environment.
Assuming an unreported option is unpopular: the reviewed survey figures do not give a comparable Micronaut percentage, which is an evidence gap rather than a ranking.

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Performance, reliability, and cost considerations

The surveys reviewed here measure reported technologies and API usage; they do not compare framework latency, memory, startup time, reliability, or hosting cost. Do not use the adoption percentages as proxies for operational performance or total cost.

Performance: define the metrics relevant to your service, then compare candidates with the same workload, application features, dependency set, hardware or cloud allocation, and measurement method.
Reliability: assess the framework and runtime as part of the whole system, including dependencies, deployment process, monitoring, failure handling, and the team’s operational experience.
Cost: account for infrastructure under measured load as well as engineering time, migration effort, support requirements, and the cost of maintaining integrations. No cost ranking is established by the cited surveys.

Troubleshooting a framework comparison

Problem	Likely cause	What to do
The reported percentages seem inconsistent	Different surveys ask different questions and reach different respondent groups.	Keep each result attached to its survey, date, participant count, and question scope.
A framework is missing from the ranking	The evidence reviewed may not report a comparable percentage for it.	Do not infer low adoption. Evaluate its official project documentation and your requirements separately.
A migration looks like a framework swap but fails on APIs	Framework, runtime, and specification dependencies were treated as one layer.	Inventory APIs, implementations, libraries, and deployment assumptions before estimating migration scope.
A claimed performance win does not appear in production	The measurement workload or environment does not match production behavior.	Repeat a controlled comparison with representative traffic, dependencies, and resource limits.
The selected runtime cannot host the application as packaged	Packaging and server deployment assumptions were not checked together.	Verify the deployment model and supported APIs against the selected runtime before committing.

FAQ

What are the most popular Java frameworks?

In the 2024 Eclipse Foundation survey of 1,409 participants, Spring/Spring Boot led the reported cloud-native technologies at 63%. Treat that as a survey result, not a universal ranking of every Java developer or application.

Spring Boot vs Quarkus: which should I choose?

Start with your project constraints. Spring Boot is positioned for stand-alone, production-grade Spring applications with embedded servers and opinionated configuration; Quarkus is positioned for Kubernetes and cloud-native Java. Check compatibility and compare representative operational measurements before choosing.

Is Jakarta EE a framework?

Jakarta EE is a specification-based enterprise Java ecosystem, not one application framework. Implementations provide its APIs, which may be used with frameworks and runtimes.

Is MicroProfile an alternative to Spring Boot?

Not necessarily. MicroProfile is a set of specifications, and the Eclipse Foundation survey notes that it and Spring/Spring Boot can rely on Jakarta EE specifications and need not compete directly.

Does the survey show which framework is fastest or cheapest?

No. The cited surveys report technology and API use, not matched performance tests or project costs. Measure those for your own application and deployment.