10 Best Java Frameworks for Web Development

Java has been powering web applications for three decades, and it isn’t going anywhere. But the framework landscape around it keeps shifting — new Spring Boot and Spring Framework major versions, a new Java LTS release, and a real rethink of how much microservice complexity teams actually want. If you last evaluated Java frameworks for web development a couple of years ago, several of the assumptions behind that comparison have changed.

In this guide, we’ll walk you through the ten Java web development frameworks worth knowing in 2026-2027, what’s changed in the ecosystem since our last update, and how we think about picking (or migrating) a framework for a real project.

Java frameworks market overview

Java’s position in the broader language rankings has softened slightly but remains solid. In the TIOBE Index for September 2026, Java sits in 4th place with a rating of 7.54%, behind Python (17.76%), C (10.28%), and C++ (8.67%). It’s a reminder that Java is competing for mindshare with faster-moving ecosystems, even as it keeps a dominant footprint in enterprise backends.

On the developer-population side, SlashData‘s 2025 developer population report put the global developer count at 47.2 million, up roughly 50% from 31 million in early 2022. Java and Python have each grown to around 23 million users and remain the two largest language communities after JavaScript — which tracks with what we see day to day working with backend teams at banks, insurers, logistics companies, and other organizations running long-lived systems.

Compensation has moved up accordingly. Built In‘s 2026 salary data puts the average Java developer salary in the United States at roughly $144,000 a year, reflecting continued demand for engineers who can maintain and modernize large Java codebases, not just write new ones.

The bigger story in 2026 isn’t Java’s ranking, though. It’s what happened to the frameworks built on top of it.

What’s changed since our last update

A few developments from the past year directly affect which Java web development framework makes sense for a new project:

Change	What it means
Java 25 LTS shipped (September 2025)	Java 25 is now the current long-term-support release, following the roughly three-year LTS cadence set by Java 17 and 21. It finalizes virtual threads (lightweight, JVM-managed threads that let you write simple thread-per-request code that scales to high concurrency), adds compact object headers for lower memory use, and previews structured concurrency and scoped values.
Spring Boot 4.0 and Spring Framework 7.0 released (November 2025)	Spring Boot 4.0 requires Java 17 as a minimum and gives first-class support to Java 25. It modularizes the Spring Boot codebase into smaller jars, adds portfolio-wide null-safety via JSpecify annotations, and introduces built-in API versioning and HTTP service clients.
Jakarta EE 11 released (June 2025)	Jakarta EE 11 adds the new Jakarta Data specification (repository-style database access with built-in CRUD, pagination, and a simplified query language), expands Java Records support, and aligns with Java 21’s virtual threads. It requires Java 17 or higher.
Cloud-native frameworks matured	Quarkus and Micronaut, both designed around GraalVM native compilation and fast cold starts, are now realistic default choices for containerized and serverless Java services rather than experimental alternatives to Spring.

If your team is still targeting Java 8 or 11 with Spring Boot 2, you’re now two major Spring generations and two Java LTS releases behind current tooling. That gap is worth factoring into any framework decision you make this year.

What Is a Java framework?

A framework is pre-written, reusable code that handles the repetitive, structural parts of building a web application — routing, session handling, database access, security, templating — so your developers can focus on the logic specific to your product instead of reinventing plumbing every time.

Frameworks specialize differently. Some, like Hibernate, focus narrowly on one layer: object-relational mapping. Others, like Spring, cover the full stack, from dependency injection to security to cloud configuration. A few, like JHipster, are closer to application generators that wire several frameworks together. Picking the right one for your Java web application development matters less about which framework is “best” in the abstract, and more about which layer of the stack you actually need help with.

Top Java frameworks for web development

Here’s how we’d rank the best Java web frameworks for a project starting today, and why.

1. Spring / Spring Boot

Spring remains the default choice for Java web development, and the release of Spring Boot 4.0 on Spring Framework 7.0 in late 2025 reinforced that position rather than displacing it. Spring Boot’s opinionated auto-configuration, its enormous plugin ecosystem (Spring Security, Spring Data, Spring Cloud), and its now-native support for Java 25’s virtual threads make it the safest general-purpose choice for most new Java web projects. It’s also the framework most engineers already know, which matters more than people expect once you’re trying to hire or onboard.

Key features:

• Auto-configuration and convention-over-configuration cut down on boilerplate
• Modularized jars (new in Spring Boot 4) give you smaller, more focused deployments
• Native Java 25 and virtual-thread support for high-concurrency workloads
• Built-in API versioning and HTTP service clients for REST APIs
• The largest third-party library and community ecosystem of any Java framework

Used by: Netflix, Amazon, Google, Microsoft, Zalando

In practice: When we built a web-based sales forecasting platform for a global automotive manufacturer, we chose Spring Boot together with Spring Security, Hibernate, and JWT as the foundation. The system replaced a 30-plus-year-old mainframe console application and a patched-together desktop Excel workflow. We containerized the new platform with Docker and Kubernetes and deployed it via ArgoCD/Helm, and it scaled from handling just 2–3 forecasting data points per market to hundreds — a jump in forecasting precision that would have been impractical to build on the legacy stack.

2. Hibernate

Hibernate remains the standard object-relational mapping (ORM) layer for Java, translating between database tables and Java objects so your team isn’t hand-writing SQL for every query. Current versions (Hibernate 6.x) align with Jakarta Persistence and support both relational databases and select NoSQL stores, and pair naturally with Spring Data or Jakarta EE 11’s new Jakarta Data specification.

Key features:

• Simplified API for CRUD operations and complex queries via HQL/JPQL
• Support for RDBMS and, through extensions, NoSQL data stores
• Caching layers (first- and second-level) for read-heavy workloads
• Schema generation and reverse-engineering tooling

Used by: Backbase, Dell, Trade Republic

In practice: Hibernate’s role as a scalable ORM layer showed up clearly when we rebuilt Genesys, a platform managing genebank records for institutions in more than 100 countries. The original PHP-based system struggled to scale, so we rebuilt the backend on Java with Spring (Core, Web MVC, Data, Security) and Hibernate, adopting a REST/API-first design aligned to the MCPD data standard and adding Elasticsearch and Hazelcast for search and caching at scale. The result: modular handling of millions of genebank records, data entry time cut by more than 50% through digitized workflows, and a 10-plus-year engagement we’re still actively working on.

3. Quarkus

Quarkus is Red Hat’s Kubernetes-native Java framework, built from the ground up around GraalVM native image compilation and fast startup. Where a typical Spring Boot application takes seconds to start, a Quarkus application compiled to a native executable can start in milliseconds and use a fraction of the memory. That difference matters a lot for serverless functions, autoscaling microservices, and CI environments running thousands of short-lived containers.

Key features:

• Purpose-built for GraalVM native compilation and containers
• “Developer joy” tooling, including live coding with instant reload
• Unified imperative and reactive programming models
• Strong Kubernetes and OpenShift integration out of the box

Best fit: Greenfield microservices, serverless functions, and any workload where container density or cold-start latency is a real cost driver.

4. Micronaut

Micronaut, introduced in 2018 and still actively developed, takes a similar approach to Quarkus: compile-time dependency injection and AOP instead of Spring’s reflection-based runtime approach, aimed at fast startup and a low memory footprint without needing a full native-image build. That makes it a practical middle ground between traditional Spring Boot and a full GraalVM-native Quarkus setup.

Key features:

• Compile-time dependency injection with no reflection overhead at startup
• First-class support for serverless (AWS Lambda, Azure Functions) and microservices
• Built-in service discovery, client-side load balancing, and distributed tracing
• GraalVM native image support when you need it

Used by: Trade Republic, Loggi

5. Vaadin

Vaadin takes a different approach from the frameworks above. Instead of building a REST API and a separate frontend, UI logic lives entirely on the server in Java, and Vaadin handles rendering it to the browser — via server-driven components or, in newer versions, a Java-to-web-component model. Among the Java frontend frameworks worth knowing, this one stands out for internal tools, admin panels, and data-heavy business applications where you don’t have a dedicated frontend team.

Key features:

• Full UI development in Java, no separate JavaScript frontend required
• Rich library of pre-built, accessible UI components
• Direct access to backend services and data without a separate API layer
• Built-in security and session handling

Used by: T-Mobile Polska, Associated Bank, Generali Hellas

6. JHipster

JHipster is a code-generation platform that scaffolds a full application — Spring Boot on the backend paired with Angular, React, or Vue on the frontend — in minutes, along with authentication, testing, and deployment configuration. It supports both monolithic and microservices architectures and remains one of the fastest ways to get a production-shaped Spring Boot application running before you write a line of business logic. It’s another one of the Java frontend frameworks conversations tend to circle back to, since it wires frontend and backend together from the start.

Key features:

• Generates a complete, opinionated full-stack application from a single CLI
• Supports monolith and microservices architectures out of the box
• Cloud-native deployment generators for Docker, Kubernetes, and major cloud providers
• Optional mobile app generation via Ionic or React Native

Used by: Adobe, BNP Paribas, Accenture

7. Dropwizard

Dropwizard bundles a curated set of mature Java libraries (Jetty, Jersey, Jackson, Metrics) into a single package aimed squarely at building RESTful services quickly. Production concerns like health checks and metrics are built in from the start rather than bolted on later.

Key features:

• Fast setup for REST APIs with minimal configuration
• Built-in operational tooling for health checks, metrics, and logging
• Stable, well-documented library choices rather than a large plugin ecosystem
• Lighter than a full Spring Boot application

Used by: Wayfair, Yammer

8. Grails

Grails runs on the JVM using Groovy, a language with Java-like syntax and Ruby on Rails-inspired conventions. It’s built on Spring Boot underneath, so Grails applications can lean on the Spring ecosystem while writing significantly less boilerplate than plain Java. It suits teams that want Rails-style productivity without leaving the JVM.

Key features:

• Convention-over-configuration MVC architecture
• Built on Spring Boot, with access to the Spring ecosystem
• Groovy’s dynamic, concise syntax cuts down on boilerplate
• Plugin ecosystem for common needs like authentication

Used by: LinkedIn

9. Play Framework

Play is a reactive, stateless web framework for Java and Scala, built on Akka and designed for applications that need to handle high concurrency without the overhead of traditional thread-per-request servers. Its “just hit refresh” development workflow and RESTful-by-default design have kept it popular with teams building high-traffic, latency-sensitive services.

Key features:

• Reactive, non-blocking architecture built on Akka
• Hot reload during development
• RESTful and WebSocket support by default
• Works with both Java and Scala codebases

Used by: LinkedIn, Zalando

10. Spark (Java)

Spark is a lightweight, Sinatra-inspired micro-framework for building REST APIs in Java or Kotlin with minimal boilerplate. A small number of route definitions gets JSON endpoints running quickly. It suits small services and prototypes better than large, long-lived applications, and if you’re evaluating it for a new project, it’s worth checking current release activity first — micro-frameworks in this category can see long gaps between releases.

Key features:

• Minimal setup, with a working REST API in a handful of lines
• Built on the Jetty web server
• Good fit for microservices and quick prototypes
• Low learning curve

Used by: Revolut

Frameworks worth knowing, but worth a closer look before adopting

A few frameworks that showed up in earlier comparisons of popular Java web frameworks are still around but occupy a narrower niche today than they did five or ten years ago. They’re not obsolete, but we’d want you to do extra diligence before building a new project on any of them.

Google Web Toolkit (GWT) is a good example. Google handed it to the open-source community back in 2013, and it’s still maintained — version 2.13.0 shipped in February 2026 — but active development now happens outside Google, and GWT’s compile-Java-to-JavaScript model has fallen out of favor as most teams moved to dedicated JavaScript/TypeScript frontends. We’d only recommend it if you’re maintaining an existing GWT codebase.

Tapestry is a component-based, convention-driven framework with hot reload. It’s still used in some legacy systems, but with a much smaller community and release cadence than Spring or Quarkus.

Blade is a minimal framework built on Netty. It’s appealing for its small footprint, but check its release history carefully — lightweight frameworks in this category are often maintained by very small teams, and that changes the risk calculus.

When to switch or upgrade Java frameworks

Framework migrations are expensive, so they’re worth doing deliberately rather than reactively. In our experience, three situations tend to justify the cost.

The first is scaling beyond what your current framework or architecture was designed for. A framework or architecture that worked fine at one traffic level can become the bottleneck as usage grows, particularly if the original design wasn’t built with horizontal scaling in mind.

The second is a shift in an underlying platform’s support lifecycle. When a framework’s major version falls out of security support, or a licensing model changes, staying on it stops being a neutral choice. It becomes a growing security and compliance liability.

The third is legacy technology that’s become a hiring and support risk. A framework running on old Java and Spring versions doesn’t just lose features; it gets harder to hire for and harder to secure, since fewer engineers want to work in it and fewer specialists are patching it.

Modernizing doesn’t always mean a full rewrite, either. A large share of the Java modernization work we do is upgrading the framework versions underneath an existing application rather than replacing it outright, and that’s often lower-risk than it sounds when it’s done incrementally.

In practice: Our work on Orbis, a career-services and experiential-learning platform used by dozens of institutional clients, is a case in point. The platform was running on an aging Spring 2 / Hibernate 2 monolith that had become slow and risky to change, and it was falling behind the security and integration standards the client needed to expand into the US market. Rather than rewriting the system, our Java team upgraded it to Spring 6 / Hibernate 6 on Java 17, modernized the Gradle build and CI/CD pipeline, and laid the architectural groundwork for a future move to microservices, all while preserving backward compatibility for existing clients and continuing to ship new features throughout the upgrade. We completed the migration with no major service disruption, which directly supported the platform’s push into new markets.

Microservices vs. monolith: A reality check

Microservices architecture is still a standard tool for scaling large, complex systems, but the framing has shifted. Five years ago, the conversation was almost entirely about when to move from a monolith to microservices. In 2025 and 2026, more teams are also asking the reverse question: whether every service they split out actually needs to stay separate.

That doesn’t mean microservices are falling out of favor broadly. Container and Kubernetes adoption keeps climbing, with CNCF‘s 2025 annual survey reporting 82% of container users now running Kubernetes in production. What’s changing is a growing willingness to consolidate services that were split up prematurely, once teams feel the operational cost of debugging and deploying dozens of small services outweighs the flexibility they gained.

Here’s how we’d sum up the practical takeaway for Java teams: microservices remain the right call for large, independently scaling domains with clear ownership boundaries — Netflix’s model of managing well over a thousand services is a real example of that working at scale. But a modular monolith, especially one built with well-separated packages in a modern Spring Boot or Quarkus application, is often the more sensible starting point for a new or mid-sized system. You can always split services out later, guided by actual load and ownership patterns rather than upfront guesswork.

How to choose a Java framework: A quick Java web frameworks comparison

Here’s a quick Java web frameworks comparison to help match your priority to a starting point:

If your priority is…	Consider
Broadest ecosystem, easiest hiring, general-purpose web apps	Spring / Spring Boot
Fast container startup, low memory, Kubernetes-native	Quarkus or Micronaut
Internal tools/admin panels without a dedicated frontend team	Vaadin
Getting a full-stack app running in minutes	JHipster
A REST API with minimal ceremony	Dropwizard or Spark
Rails-style productivity on the JVM	Grails
High-concurrency, reactive workloads	Play Framework
Upgrading a legacy Java system rather than replacing it	Stay on Spring/Hibernate, but plan a version upgrade (see the Orbis case study above)

Common mistakes when choosing or migrating a Java framework

We see the same handful of mistakes come up again and again when teams are choosing or migrating a Java web development framework.

Picking a framework based on benchmarks alone is one of the most common. Startup time and throughput numbers matter far less than team familiarity, library support, and how well the framework matches your deployment model.

Underestimating a legacy migration is another. Jumping from Spring 2/Java 8 straight to Spring Boot 4/Java 25 in one step is riskier than an incremental path through supported intermediate versions — we’ve watched teams try the big jump and lose weeks untangling issues an incremental path would have surfaced one at a time.

Defaulting to microservices for a small team trips up plenty of otherwise strong engineering organizations. Splitting a system into a dozen services before you have the operational maturity (monitoring, CI/CD, on-call practices) to run them tends to slow teams down rather than speed them up.

And ignoring the support lifecycle is the quiet one. Building new work on an unsupported Java or Spring version creates security debt that compounds, so check end-of-life dates before you commit to a stack.

Expert recommendation

For most new projects, Spring Boot remains the sensible default. It has the largest community, the deepest library ecosystem, and, as of Spring Boot 4.0, native support for the latest Java LTS release and its concurrency improvements. If your team has hard constraints around container startup time, memory footprint, or serverless cold starts, evaluate Quarkus or Micronaut specifically for those workloads rather than assuming Spring Boot is the only option.

For teams running established Java systems, the more urgent decision usually isn’t which framework to adopt next. It’s whether the current framework version is still supported, and how much technical and security debt has built up around an aging stack. In our experience modernizing large Java platforms, an incremental framework and Java version upgrade, done with a clear migration plan, is very often less disruptive and less costly than teams expect going in — which is one reason Spring Boot and its ecosystem still come up as the most popular Java web frameworks whenever we talk to clients about where to start.

For specialized enterprise needs beyond a custom-built application, established Java-based products such as Liferay (portals) and Alfresco (content management) remain relevant options, particularly in regulated industries like banking, government, and healthcare where open-source Java stacks have a long track record.

FAQ about Java web frameworks and development