A Data Grid, sometimes also called as In-memory database is a data storage mechanism to store data in Computer memory rather than persisting on a hard disk. As memory access is faster than disk operations, loading data to datagrid makes “reading” data multiple times faster when compared to accessing data on disk. These are ideal for metadata, masterdata, any type of reference data etc.

HazelCast is one of the most commonly used Data grid solutions available in the market, which forms the basis for multiple other products. Then there are Apache Ignite from Apache foundation, Mongo In Memory database and Terracotta Cache are other solutions.

Yes, Hazelcast is designed for handling “Terrabyte” – or even “Petabyte” size of data horizontal scalability, allowing you to add more nodes to your cluster as your dataset grows. It employs techniques like data partitioning and near-cache optimization to ensure consistent performance, even with large-scale data.

Hazelcast is a distributed in-memory computing platform that serves as a high-performance data grid. It provides seamless access to large-scale data, enabling real-time data processing and storage across a distributed cluster. Hazelcast is designed for scalability, fault tolerance, and ultra-low latency.eating business solutions is due in large part spacially to talented and highly committed team. Having these marketplace to your branded skilled team of designers and developers. Our modern sales CRM frees you to maximize productivity, maintain pipeline visibility, and grow revenue.

Hazelcast is widely used for caching, session replication, distributed data storage, and real-time event processing. It’s ideal for industries requiring fast data processing, such as finance, e-commerce, telecommunications, and IoT applications.

Hazelcast stands out with its “Strong Consistency” along with distributed in-memory data storage and computation model, offering both key-value and queryable storage. It supports advanced features like near-cache, event-driven architecture, and multi-protocol data access. Its lightweight nature and cloud-native design simplify integration into modern systems.

MACH Architecture is a modern approach to designing digital solutions based on four key principles: Microservices, API-first, Cloud-native, and Headless. It focuses on flexibility, scalability, and modularity, enabling businesses to build and adapt their digital ecosystems with speed and agility. Here’s a breakdown: