What is Data Replication?

Data replication is a process of creating multiple copies of data at more than one location; either PCs, servers, sites or nodes. It helps synchronize and distribute data in such a way that ensures consistency and ease of accessibility around the data centers. An upgrade or update made in one duppe of the data can be easily translated in rest of the replica, so data replication is faster, secure and easy.

Data replication allows you to access consistent data across servers or remote workplaces, load data into private data centers, give information to test frameworks, provides disaster recovery management measures and that’s only the tip of the iceberg for this two-word process.

Data Replication Portfolios

There are a number of companies that are currently providing data replication services to their users. Some of the best solutions are definitely from the big names such as IBM InfoSphere®, Google Cloud SQL, Huawei Cloud, and Microsoft SQL Server Replication. In this article, we have rounded up brief details about these portfolios. Let us walk through these secure and convenient data replication services one by one.

  • IBM InfoSphere

IBM InfoSphere Data Replication portfolio provides high volumes of data with a low rate of latency. It is considered to be an ideal solution for enterprises with multisite data distribution and uninterrupted flow of data — regardless of whether over the servers to the datacenters, from on-premises, or to the cloud. This vigorous support for sources, targets, and platforms guarantees the correct data is accessible in data lakes, data marts, and point-of-impact solutions, which in return would enable companies for fast and secure data utilization and higher ROI.

IBM InfoSphere® Solutions:

  • Simplified real-time data integration for your big-data initiatives
  • Agile, low-impact integration of data
  • High availability & continuous data protection

  • Google Cloud SQL

Google Cloud SQL is a cloud computing service offered by Google. It gives the ability to replicate data in the form of a “master instance” first and then one or more “read replicas”. Whatever changes are made into master instances are shown in the read replica in real-time. Due to heavy databases, master instance may get over-crowded. In order to diminish load on the master instance, the queries can be shifted towards read read replicas. You just need to remember the connection name and IP address to directly connect with the read replicas.

  • Huawei – Data Replication Service (DRS)

Huawei’s data replication service is a one-stop solution to cater all your traditional data migration issues. The problems of service interruptions, data loss and expensive cloud management and replication solutions are readily avoided in DRS. DRS helps you migrate and synchronize data in real-time, thus ensuring consistency with maximum security, integrity and minimal downtime of your data during transmission / replication.

  • Microsoft SQL Server

Microsoft SQL Server is a database management tool created by Microsoft. As a database server, it is a product with the essential capacity of storing, keeping and recovering data whenever requested by other software applications—which may run either on a similar PC or on another PC over a network.

For now, Microsoft has launched a dozen versions of Microsoft SQL Server, focused on various audiences and on the basis of the workload from single-machine applications to huge Internet-based applications. SQL servers also incorporate multiple ad-on features such data replication and content transfer & management tools. Here we will discuss one of the specialized editions by Microsoft “SQL Server Replication”.

Microsoft SQL Replication Services:

SQL Server Replication Services are utilized by SQL Server to reproduce and synchronize database objects, either in total or a subset of the articles present, across replication specialists, which may be other database servers over the system, or database stores on the customer side. SQL Server supports three distinct sorts of replication.

  • Transaction replication

Every transaction made to the publisher database is synced out to subscribers, who update their databases with the exchange. Transactional-based replication synchronizes databases in close to real-time.

  • Merge replication

In merge replication, all the changes made at both the publisher and subscribers databases are followed and tracked and bi-directional synchronization is done from time-to-time. Additionally, if the same data is modified differently in both the publisher and the subscriber databases, a conflict will appear which must be settled, either through manual or pre-defined policies. 

  • Snapshot replication

Snapshot replication is the simplest of the three types. It only publishes a duplicate of the whole database, then takes a snapshot of the data and replicates out to the subscribers of the service. Further changes to the replicated data are not tracked.

Author Bio

Kerin is a content marketer & a passionate blogger. She is a tech blogger by profession & an avid reader by the soul. She loves to explore topics related to news/technology, marketing and particularly apps like SMS backup & restore app. In her free time, she enjoys travelling and penning down her thoughts with a cup of coffee.

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