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Use Cases

Caching

Operating in today’s always-on, high-volume, high-speed, high-expectation world requires a different level of processing enablement. When microseconds can mean the difference between success and failure, Hazelcast in-memory caching solutions can deliver blinding speed with scalable and flexible data caching.

Fraud Detection

Fraud has grown to epidemic proportions as our digital lives become increasingly interconnected, dependent, and exploitable. In-memory solutions such as Hazelcast IMDG and Jet enable real-time fraud detection or fraud detection machine learning at speeds and scale that drive security enablement to a new level.

In-Memory Stream Processing

Embed stream processing into your enterprise applications with Hazelcast to immediately process and respond to data.

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360° Customer View

The speed of in-memory solutions can drive your customer's experience to a new level of complete engagement through a fully-integrated perspective enabled by Machine Learning and powered by Artificial Intelligence.

Apache Cassandra Enhancement

Apache Cassandra is one of the most popular NoSQL databases available today and is often used when high speed is required. However, since Cassandra is disk-based, performance will be capped by I/O limitations. Integrating Hazelcast IMDG with Cassandra makes data available at much lower latencies (in milliseconds) than Cassandra can achieve independently. The combined solution maintains the high availability and horizontal scalability of Cassandra.

Application Acceleration and Scaling

Hazelcast can be used to accelerate and scale your SaaS or custom internal applications by increasing throughput and reducing the latency of data accesses on disk-based databases. Add Hazelcast as an in-memory story between your application and your database to handle more users and higher load while improving response times. Updates that your applications make to data in Hazelcast will be passed through to the underlying database to ensure data synchronization.

Cache-as-a-Service (CaaS)

Hazelcast provides a cache-as-a-service for scalable, reliable, and fast caching. Applications can use Hazelcast as side-cache to their database, or place the database in-line behind the caching service.

Caching

Operating in today’s always-on, high-volume, high-speed, high-expectation world requires a different level of processing enablement. When microseconds can mean the difference between success and failure, Hazelcast in-memory caching solutions can deliver blinding speed with scalable and flexible data caching.

Database Caching

Organizations rely on database caching to predictably scale mission-critical applications by providing in-memory access to frequently used data. As customer data grows exponentially, organizations of all sizes are turning to in-memory solutions to scale applications to meet service level agreements, offload over-burdened shared data services, and provide availability guarantees.

Digital Transformation

Digital transformation touches every part of the modern business. In-memory technology is one of the core enablers in today's data-intensive, always-on world. If speed, scalability, and stability are critical to your business, Hazelcast is the answer.

ETL and Data Ingestion

ETL is an acronym for “extract, transform, load.” Extract refers to collecting data from some source. Transform refers to any processes performed on that data. Load refers to sending the processed data to a destination, such as a database. ETL is a data processing concept dating back to the 1970s, but it remains important today because it is one of the most dominant frameworks for providing people and applications with data. Engineering and product teams load and preprocess data from a variety of sources to a number of destinations with ETL techniques and software.

Fast Batch Processing

Hazelcast Jet employs many performance optimizations to speed up batch processing up to 15 times compared to Spark or Flink. Hadoop is overperformed by magnitudes.