Build applications that depend on strongly consistent data with in-memory speeds and mission-critical resilience.
Strongly consistent data in an ultra-fast and resilient platform
Ensure accurate data for your applications in a fast, fault-tolerant, distributed system by using the Hazelcast implementation of the Raft Consensus Algorithm.
Get the correct up-to-date values even upon hardware failures that might disrupt the proper sequence of data updates
Reduce the consistency/performance trade-off with in-memory speeds
Add an additional level of fault tolerance by writing consistent values to disk for fast recovery
Fast, resilient, and consistent data ensures no errors and surprises due to stale data
Raft Consensus Algorithm ensures data is consistent across all participating members
Hazelcast sets industry standard for consistency and performance for data-intensive, mission-critical AI workloads.
Depend on strongly consistent data as a more reliable alternative eventually consistent data.
High Performance
Get the highest performance in your applications so you don’t make a significant trade-off to gain the benefits of strong consistency.
Mission-Critical Resilience
Ensure the resilience you need to run mission-critical applications that rely on consistent data using replicas as well as durable on-disk storage “CP Subsystem Persistence”.
Simple API
Write applications that leverage a wide variety of strongly consistent data types, including key/value stores “maps”, in an easy-to-use API.
Hazelcast Training: Strong Data Consistency. Explore how the Hazelcast Platform CP Subsystem ensures guaranteed data consistency.
