Apps Related to Fault Tolerance

Discover apps and services related to Fault Tolerance.

Designed to withstand the failure or loss of multiple storage nodes while still allowing access to your data.

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Apache Cassandra

Apache Cassandra

Open Source

Apache Cassandra is a highly scalable, distributed NoSQL database designed to handle large amounts of data across many commodity servers, providing high availability without a single point of failure.

High availability with no single point of failure.
Database
Development
Apache Mesos

Apache Mesos

Open Source

Apache Mesos is an open-source cluster manager that abstracts CPU, memory, storage, and other compute resources away from machines, enabling fault-tolerant and elastic distributed systems.

Efficient resource utilization through fine-grained sharing.
Network & Admin OS & Utilities
Hazelcast

Hazelcast

Open Source

Hazelcast is a leading open-source distributed in-memory data grid and stream processing platform designed for high-performance, low-latency applications. It provides incredibly fast data access and processing by keeping data in RAM across a cluster of machines, enabling real-time responsiveness.

Extremely low latency due to in-memory data storage.
Data stream processing
Development
Tahoe-LAFS

Tahoe-LAFS

Open Source

Tahoe-LAFS is a free and open-source distributed storage system. It focuses on security, privacy, and fault tolerance by encrypting, encoding, and distributing your data across multiple nodes.

Strong security with client-side encryption ensures data privacy.
Cloud sync
Backup & Sync OS & Utilities Security & Privacy
Erlang

Erlang

Open Source

Erlang is a powerful functional programming language designed for building highly available, scalable, and fault-tolerant soft real-time systems. It excels in concurrent and distributed environments, making it ideal for applications requiring continuous uptime and handling vast amounts of concurrent requests.

Excellent for building highly concurrent and distributed applications.
Distributed Computing
Development