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eXtremeDB High Availability (HA) v 8.0

eXtremeDB High Availability (active/passive) is a fault-tolerant version for the in-memory and persistent eXtremeDB embedded database systems. Designed for systems that cannot afford to fail, eXtremeDB HA delivers the highest degree of reliability, along with its unsurpassed performance and exceptionally small footprint. For maximum consistency, eXtremeDB HA offers a rugged, time-cognizant two-phase commit (2-safe) protocol that ensures changes to the main instance database and identical standby instances succeed or fail together. For maximum performance, eXtremeDB also offers asynchronous replication (1-safe). eXtremeDB-HA replicates transactions, so transactional consistency is always guaranteed.

eXtremeDB High Availability Edition embedded database is a fault-tolerant version of eXtremeDB® designed to answer the challenge, “How can a RAM database survive the failure of the software or hardware environment in which it operates?” Designed to power embedded systems that cannot afford to fail, eXtremeDB-HA delivers the highest degree of reliability, along with its unsurpassed performance and exceptionally small footprint.

In addition to the in-memory database system (IMDS) version, the eXtremeDB High Availability database is available as a hybrid embedded database, called eXtremeDB HA Fusion, that enables developers to combine all-in-memory with on-disk data storage in the same application. For details on the hybrid capabilities of eXtremeDB HA Fusion, see this site’s page for the eXtremeDB Fusion product.

Process control, telecom and network gear, and other embedded systems with demanding “five-nines” reliability (99.999% up-time) requirements comprise a fast-growing segment of real-time applications. These systems are managing greater volumes of more complex data—creating a need for a fast, lightweight commercial off-the-shelf (COTS) database that can meet their reliability imperative.

Typically, existing fault-tolerant systems use replication schemes to create backup embedded database copies. But replication entails latency from the moment a primary data store is updated, until these changes are propagated to the replica database. Such latency is often unacceptable in time-critical embedded systems (check out the article in Embedded Systems Europe, that highlights different approaches to database replication).

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