Data replication is the process of copying and storing data in multiple locations to improve data availability and accessibility across a network. The result is a distributed environment that enables local users to access the data they need faster, and without disrupting other users.
Data replication is a key component of disaster recovery (DR) strategies, as it makes sure an accurate and up-to-date copy of data always exists in case of a system failure, cybersecurity breach, or other disaster—whether naturally occurring or through human error.
Copies of replicated data can be stored within the same system, in onsite or off-site servers, or in multiple clouds.
Data replication is key to business resiliency because data drives decision-making. It feeds into and informs mission-critical processes, analytics, systems, and—ultimately—business insights. You want to ensure that it is always available and accessible to users in as close to real-time as possible. Data replication can help you achieve this.
These are just some of the many benefits of a strategic approach to data replication:
Organizations often put in place data replication in Oracle, data replication in SQL Server, or data replication in MySQL strategies to mitigate downtime risk.
Common types of data replication include:
Data is copied to a secondary site as new data is written or updated on the primary site. Multiple sites thereby have current copies of the data, which enables rapid failover-based disaster recovery.
With synchronous replication, data is written first to the primary site array and then immediately to the secondary site array. The writes are considered completed only after the host receives acknowledgement that the write process completed on the arrays at both sites. While synchronous replication ensures little-to-no discrepancy between the data on the primary and secondary sites, the process may tax overall performance and may also be negatively impacted if the distance between the primary and secondary sites is significant.
Data is written to the primary site and then replicated periodically to a secondary site, which may occur hourly, daily, or weekly. When the secondary site has been updated, an acknowledgement is sent to the primary site.
Since data is written asynchronously, users can schedule replication at times when network performance will be least impacted. The secondary site can be used for disaster recovery with the understanding that the primary and secondary sites may not be fully synchronized.
Tools organizations use for data replication help reduce risk because they rapidly create a copy of data in a different location than the original source data’s location. Multicloud data management and data replication software such as Cohesity simplifies the management of replication policies across many data sources and targets on-premises and in the cloud.
To mitigate downtime risk, a storage replication solution, service, or tool delivers additional redundancy should a primary storage backup system fail.
Database replication, or DBMS replication, involves the regular copying of data from one database to another, for example, data replication in SQL Server, MySQL or Oracle, so all users have access to the same data. This can be a one-time or a many-time occurrence, depending on the organization’s data management policies and role-based access. Most often, database replication is completed for disaster recovery or business continuity purposes so that in the event of downtime, data can be quickly recovered.
Yes. Organizations can perform data replication to maintain a synchronous standby copy of data in a different availability zone.
Within SAP HANA, data replication can be used to migrate data from source systems to SAP HANA databases. This can be done through the console or by using HANA studio.
The three most popular data replication techniques are:
Many businesses today still depend on multiple different products to replicate data. This reliance on a patchwork of legacy products creates a complex environment that is difficult to manage. Increased complexity means more downtime, more latency, more lost data, and increased total cost of ownership (TCO).
Moreover, mass data fragmentation and disconnected architectures are incapable of meeting 24/7 operational requirements.
Cohesity is committed to simplifying complex data replication processes, and supporting organizations developing strategies to meet strict criteria. With the Cohesity data management platform, you can:
Cohesity delivers the only hyperscale, converged platform that eliminates the complexity of traditional data replication by unifying end-to-end data protection infrastructure. This includes target storage, backup, DR, and cloud tiering in addition to replication.
Driving innovation, Cohesity combines the advantages of global deduplication, scale-out architecture, unified data protection, and native cloud integration. The result: Cohesity can deliver very fast SLAs while simplifying your end-to-end data replication—and even your complete data management—environment at lower TCO.