Hazelcast is a leading open source in-memory computing platform allowing organizations to experience faster delivery of applications. Now, you can leverage the flexibility of NoSQL data stores with Hazelcast IMDG (In-Memory Data Grid). Taashee Linux Services is a Hazelcast Reseller Partner offering IMDG solutions by understanding your application development requirements. Our suite of solutions have been rigorously tested and readily adoptable in your production environment offering you increased value and reduced effort.


Hazelcast IMDG Solutions from Taashee

Develop & Monitor In-Memory Data Grid

  • Are you looking forward to speeding up your database applications?
  • Is it possible to experience serialization and configuration without ever writing a single line of manual code?
  • Do you want to obtain Application Caching, Database Caching, and Microservices Caching for your increased familiarity, storage flexibility, and High Availability?

Now, Taashee offers you the best-in-class solutions for all such queries with Hazelcast IMDG.


Taashee Linux Services offers reliable In-Memory Data Grid solutions with Hazelcast as depicted below.

WAN Replication

Hazelcast WAN Replication allows you to keep multiple Hazelcast clusters in sync by replicating their state over WAN environments, such as the internet.

  • Multiple Configurable features
  • On-Demand Synchronization

Automatic Disaster Recovery

Unplanned outages become a thing of the past with Hazelcast Automatic Disaster Recovery Failover.

  • Fully automated experience
  • Zero disruption to system resources.

Cloud Deployment

Hazelcast Enterprise PaaS enables deployment of Hazelcast In-Memory Computing solutions in the leading enterprise cloud container environments.

  • Red Hat OpenShift
  • Pivotal Cloud Foundry

Database Integration

Hazelcast Auto Database Integration is a highly efficient time-saving tool for companies working with databases.

  • Hassle-free project configuration
  • Reduced maintenance of Java domain model


Database Caching

Hazelcast can be used as an in-line database cache. This means developers can continue to work with familiar data structure APIs in their own languages without having to resort to SQL or a NoSQL-specific API.

Application Caching

Hazelcast Near Caches can be used to store frequently read data within the Application process itself. This means that any Java, .Net, Node.js, Python, C++ or Go programs can reduce their data lookup times from seconds over the network down to microseconds.

Microservices Caching

Hazelcast clusters make excellent platforms for microservice messaging, coordination, and distribution.

Cache-as-a-Service (CAAS)

Hazelcast can be used to deliver a CAAS (Cache-as-a-Service), typically used where various applications need to share similar business data.

Web Session Clustering

A popular use case for Hazelcast is the caching of web sessions. Web and application servers can easily be made to scale out to handle huge loads by adding devices such as a load balancer.

NoSQL (Redis/MongoDB) Replacement

Consider using Hazelcast when you are finding NoSQL software is becoming hard to live with, especially when trying to scale and manage in general.

Massively Parallel Processing

Hazelcast IMDG can run Java code within the cluster in the form of Callables or Runnable. These programs can be directed to the member of the cluster holding a certain key, or they can move their own processing data with them, as a true function.

Easy Messaging

Hazelcast Topics is not a full JMS provider, but it is in use delivering millions of messages scalably at organizations like Ericsson and NTT of Japan.