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Where does Hazelcast excel?

Web application scaling

Improve performance and user experience by modernizing legacy systems with our experts using Hazelcast. Effectively scale your application as your user and data needs grow. Integrate with modern architectures for enhanced efficiency and reliability.

Real-time event processing

Process thousands of events per second in real time with Hazelcast. Our top-notch developers will make your application smarter, faster and more responsive.

Distributed caching

Reduce latency with our Hazelcast experts. Implement distributed caching that stores frequently accessed data across multiple systems. Easily manage large volumes of data.

Session clustering

Provide your users with a seamless experience. We will help you preserve user session data across server restarts and failures and distribute session data across your cluster. Effectively balance load and maintain high performance and reliability.

Microservices architecture

Using Hazelcast we will facilitate communication between microservices with advanced messaging capabilities. Enable each component of your application to function independently for increased agility, easier management, and overall improved functionality.

Message queuing

Manage asynchronous data exchange and efficiently decouple process communication within your systems. Our Hazelcast developers ensure that messages are processed in order and without loss, maintaining reliability and order even in high-load environments.

Hazelcast development and team augmentation services

Meet Stratoflow – high-performance software experts.

Support your development efforts with our customized Hazelcast development and team augmentation services. Our expertise in Hazelcast technology enables us to deliver modern, high-performance, distributed, and scalable solutions with real-time processing capabilities that lead to immediate improvements in your business performance. Our team is highly skilled in the process of installing Hazelcast. This ensures a seamless setup and configuration for your projects.

We have been building cutting-edge data processing applications based on Hazelcast since 2014, creating highly scalable, low-latency systems for finance, e-commerce, and travel.

The in-memory nature of Hazelcast allows us not only to build ultra-fast distributed caching systems, but also to design horizontally scalable parallel processing applications free from traditional database I/O bottlenecks.

Schedule a meeting with us to discuss potential collaboration models.

streaming data platforms

Benefits of Hazelcast

Speed and high availability

Hazelcast accelerates applications with its in-memory data grid, even with massive amounts of data. Its distributed architecture provides high availability. That keeps the system running seamlessly.

 

Seamless application operations

Hazelcast makes application operations seamless. It integrates easily into existing architectures and is compatible with modern cloud and container environments. Hazelcast makes it easy to manage clusters, monitor, and troubleshoot.

 

Flexibility and scalability

Hazelcast is flexible and can be scaled up or down easily. Its distributed nature means it can handle increasing workloads without affecting performance.

 

Modernization of applications

Hazelcast helps modernize legacy apps by adding features like distributed caching, real-time data processing, and scalability without replacing existing systems. By integrating with modern architectures like microservices, Hazelcast lets organizations adopt modern practices while using their legacy systems.

 

Real-time data processing

Hazelcast is great for processing data in real time, letting apps analyze and respond to data instantly. Its stream processing capabilities support businesses to make timely decisions and find insights from live data.

 

Cost-effective with significant ROI

Hazelcast helps businesses get more out of their technology investments. Its features help businesses run their applications more efficiently and avoid unnecessary costs.

 

Easy to develop and deploy

Hazelcast makes it easier for developers to create apps with familiar interfaces and APIs.

 

Data integrity and simplified data management

Hazelcast keeps data safe by using distributed data structures and replication mechanisms. Its simplified data management features make it easier for developers to handle complex data structures at scale.

Speed and high availability

Hazelcast accelerates applications with its in-memory data grid, even with massive amounts of data. Its distributed architecture provides high availability. That keeps the system running seamlessly.

 

Seamless application operations

Hazelcast makes application operations seamless. It integrates easily into existing architectures and is compatible with modern cloud and container environments. Hazelcast makes it easy to manage clusters, monitor, and troubleshoot.

 

Flexibility and scalability

Hazelcast is flexible and can be scaled up or down easily. Its distributed nature means it can handle increasing workloads without affecting performance.

 

Modernization of applications

Hazelcast helps modernize legacy apps by adding features like distributed caching, real-time data processing, and scalability without replacing existing systems. By integrating with modern architectures like microservices, Hazelcast lets organizations adopt modern practices while using their legacy systems.

 

Real-time data processing

Hazelcast is great for processing data in real time, letting apps analyze and respond to data instantly. Its stream processing capabilities support businesses to make timely decisions and find insights from live data.

 

Cost-effective with significant ROI

Hazelcast helps businesses get more out of their technology investments. Its features help businesses run their applications more efficiently and avoid unnecessary costs.

 

Easy to develop and deploy

Hazelcast makes it easier for developers to create apps with familiar interfaces and APIs.

 

Data integrity and simplified data management

Hazelcast keeps data safe by using distributed data structures and replication mechanisms. Its simplified data management features make it easier for developers to handle complex data structures at scale.

install hazelcast platform

Case Studies

High-performance systems we have built

View all case studies

Our client say...

java web development services

We are very pleased with our partnership with Stratoflow and, as we continue to grow, we expect to increase the numbers of developers that work with us on our projects. They have proven to be very skilled and flexible. They're extremely reliable, and they have a very good company culture of their own, which gives them a real edge compared to other providers that serve more as production shops rather than thought partners and creative problem solvers.

Andrew Kennedy, Founder & Managing Director, Tier 2 Consulting

Our process

How We Deliver

Iterative approach with short feedback cycles and seamless communication is the key factor of success.

MEETING MEETING

MEETING

Step 1

Our clients are located around the globe but we always try to start with a planning visit to learn more about the project details and build team rapport.

ESTIMATION ESTIMATION

ESTIMATION

Step 2

We work together on ballpark estimates and task priorities to build a roadmap maximizing business value.

SHORT SPRINTS SHORT SPRINTS

SHORT SPRINTS

Step 3

We work in short development cycles with daily communication between developers and clients to make sure we end up with the best result.

DEMO DEMO

DEMO

Step 4

Demonstration of the current progress enables to review the interim results.

AGILE ITERATIONS AGILE ITERATIONS

AGILE ITERATIONS

Step 5

Iterative approach is the best way to adjust the scope and direction.

SUCCESS SUCCESS

SUCCESS

Step 6

We are your partner in a complete software development lifecycle, starting from analysis through development and testing, to data migrations, installation and maintenance.

FAQ

What is Hazelcast?

Hazelcast is an open-source platform that improves application performance through its In-Memory Data Grid (IMDG) technology, enabling scalable and fast distributed computing. It simplifies the management of real-time and frequently used data by providing an easy-to-use suite of distributed structures such as maps, queues, and locks that are critical to building responsive applications. In addition, Hazelcast includes tools such as the Hazelcast Management Center, which helps monitor and optimize the performance of machine learning models and other real-time operations. In essence, Hazelcast acts as a unified real-time data platform, enabling systems to act instantly and efficiently on large volumes of data.

hazelcast platform

Who is using Hazelcast?

In short, Hazelcast is used for improving application speed. Developers and organizations across various industries who require real-time data processing and fast data storage solutions choose this technology. These users include companies in finance, e-commerce, retail, logistics, healthcare, telecommunications, gaming, and more. The Hazelcast platform can manage memory for many types of applications.

What is Hazelcast used for?

Hazelcast is primarily used for distributed computing, stream processing, and real-time data processing. It provides a platform for storing frequently accessed data and performing distributed computations across a cluster of nodes. It also provides event stream processing and streams management capabilities.

Hazelcast platform combines an efficient stream processing engine with fast data storage to simplify development and implementation, and deliver the reliability and performance needed in demanding, data-intensive environments.

To manage distributed data, Hazelcast organizes its architecture around the concepts of cluster members, Hazelcast members, Hazelcast nodes, and Hazelcast partitions. A cluster member refers to an individual node within the Hazelcast cluster that participates in storing data in distributed maps and performing computations. These cluster members, also known as Hazelcast members, communicate with each other and with the Management Center to configure and manage the cluster. Hazelcast partitions, distributes, and replicates map entries among cluster members to ensure data availability and fault tolerance. This setup allows Hazelcast nodes to work together efficiently, distributing tasks and data across the network.

real time data platform

 

What are the capabilities of Hazelcast?

Hazelcast offers a wide range of capabilities, including distributed data storage, distributed computing, real-time data processing, event stream processing, caching, and distributed messaging. It provides features for efficiently managing data streams, executing computations across a cluster of nodes, and ensuring high availability and fault tolerance.

Is Hazelcast a database?

Hazelcast is not a traditional fast data store database but rather an in-memory data grid (IMDG) and distributed computing platform. While it provides features for storing and accessing data in-memory, it does not offer persistent storage like a database. However, it can be used alongside databases to accelerate data access and processing.

What is Hazelcast in Spring Boot?

Hazelcast in Spring Boot refers to the integration of Hazelcast with the Spring Boot framework. This integration allows developers to easily configure and use Hazelcast within Spring Boot applications, leveraging its distributed caching, data storage, and computing capabilities. It provides seamless integration with Spring’s dependency injection and configuration management features, making it convenient for building distributed, scalable applications.

What language is Hazelcast written in?

Hazelcast is primarily written in Java, so it is highly compatible with Java-based applications. However, it also provides client libraries for other languages, enabling developers to integrate Hazelcast with applications written in languages such as C#, Python, and Go.

What is Hazelcast service?

Hazelcast offers Hazelcast Cloud, a fully managed service that provides Hazelcast clusters in the cloud environment. This service enables users to deploy and manage Hazelcast clusters without dealing with the complexities of infrastructure management.

management center

Is Hazelcast Platform better than Redis?

The suitability of Hazelcast or Redis depends on specific use cases and requirements. Both are popular in-memory data grid solutions but have different strengths. Hazelcast excels in distributed computing and real-time data processing, while Redis is often preferred for its advanced data structures and high-performance caching capabilities.

What is the difference between Hazelcast and Kafka?

Hazelcast and Kafka serve different purposes in the data processing landscape. Hazelcast is an in-memory data grid that focuses on distributed computing, fast data storage, and real-time data processing. On the other hand, Kafka is a distributed streaming platform designed for building real-time data pipelines and processing event streams at scale.

Consult your project

Submit the form to discuss your project and our software development, team augmentation and consultancy services. Our clients are located in the US, the UK, and Western Europe.

or call us: +1 415 340 8020 (US) or +44 20 3322 8684 (UK)

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What happens next?

  1. Initial Request
    When you submit your request, we will immediately confirm it and analyze your initial questions and project scope.
  2. Discovery Call
    We schedule a call at a convenient time to discuss your project requirements and goals, and answer any questions you may have.
  3. Expert Meeting
    This meeting focuses on detailed project analysis, strategy development, and technology selection.
  4. Proposal
    Based on the insights gained from our discussions, we will prepare a commercial proposal that includes the scope of work, timeline, and cost estimates.
  5. Contract
    The final step is to sign a contract that defines the terms of our relationship and the framework for successful project delivery.
Arkadiusz Drysch | CTO