Transforming data with the right data replication platform

See the performance of the availability of data at 1/10th of the cost. Implement a modern way to replicate your data and experience improved network performance, reliability, and data analytics support.

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Overview How Data Replication Works Inside View of Lyftron What You Get Benefits Other Products Modern Data Ecosystem
Overview
How Data Replication Works
An inside view of Lyftrondata
What you get
Benefits
Other Products
Modern Data Ecosystem

Data replication for faster access and improved system resilience

Data replication is the way toward putting away similar information in different areas to improve information accessibility and availability, and reliability. Data Replication makes data access faster and smoother, especially in organizations with a varied number of data sources and hosts. However, traditionally performing the replica of the same data in multiple locations leads to higher storage, more time, greater processor costs, and more bandwidth.

Lyftrondata addresses these challenges and facilitates the large-scale replication and sharing of data among different hosts and systems. With its user-friendly interface, in just a couple of clicks users can load, transfer, and replicate data to almost any platform, that too without any coding skills.

Lyftrondata’s architecture is designed to easily replicate data and implement incremental changes from multiple sources to Amazon S3, RDS or Redshift. It continuously syncs it in real-time and securely shares through advanced encryption with the industry’s most cost-effective licensing model.

How data replication works in Lyftrondata

Lyftrondata Data Pipeline manages connections to data sources and loads data to the target data warehouse.

  • Choose your delta field
  • Apply it into your pipeline
  • Schedule it for delta detection
  • Apply SCD to capture the changes

An inside view of Lyftrondata

Lyftrondata Data Pipeline manages connections to data sources and loads data to the target data warehouses. All transformations are defined in standard SQL and pushed down to data sources and data warehouse. Lyftrondata eliminates traditional ETL/ELT bottlenecks with an automatic data pipeline and makes data instantly accessible to BI users with the modern cloud compute of Spark & Snowflake. Lyftrondata connectors automatically convert any source into the normalized, ready-to-query relational format and provide search capability on enterprise data catalog. Lyftrondata shortens data preparation activities by letting data teams create logical data sets first, evaluate the data, and delay the data loading until the data sets are verified or data loading is required.

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What you get

  • Codeless Interface

    Lyftrondata architecture allows users to replicate data from multiple sources to target data warehouses through a codeless environment. Use your familiar Transact-SQL interface (wire compatible with SQL Server) that enables bridging queries to any data source or target Data Warehouse. No coding or new skills are needed to run queries on any data.

  • Instant Analytics Support

    Data replication works to improve data analytics support for BI users. Copying data to the target data warehouse gives analytics teams the support to work on BI tools of their choice. Use SQL to query any data, both structured and semi-structured. Lyftrondata architecture supports automatic zero code JSON/XML/API parsing to relational format. Analyze instantly with ANSI.

  • Data Accuracy and Availability

    Similar to the intact data protection framework, Lyftrondata data replication platform is always processing data on an ongoing basis so that each copy, no matter where it resides, is always accurate and updated to mirror its original source. Such a data replication framework guarantees easy access to data to all the users.

  • Data Synchronization and Distribution

    Lyftrondata's data replication framework can potentially minimize the work of the user and teams by creating and maintaining the organization’s data replication transactions. The closer data is stored, the fasters could team access it, avoiding the long wait time. Synchronization and distribution of data work faster and easier.

  • Less Data Movement over Network

    Lyftrondata makes similar data available at various areas which lower data access latency since required information can be recovered nearer to where the exchange is executing. The more replicas of a connection are there, the greater are the chances that the necessary data is discovered where the exchange is executing.

  • Data Durability Guaranteed

    Overcome the traditional cost and resources to maintain and reflect data modifications on multiple systems. Lyftrondata ensures your data is always updated, no matter which user wants to access it, from where. By using the simple, yet powerful architecture, you could use your data even during a catastrophe.

Data replication for instant data availability

Fast Performance

Lyftrondata’s modern data technology does not work on data row by row like traditional ETL products but does so inset and with bulk operations. By using replication you can spread data reads across multiple machines on your network. This strategy might be particularly interesting for applications that have readers on remote network nodes; you can push your data to the system's edges thereby improving data read responsiveness.

Codeless Development

Allows users to integrate all types of data without writing any code through a codeless development environment, increasing the developer's productivity. Fully simulated Transact-SQL interface (wire compatible with SQL Server) enables bridged queries to any data source or target Data Warehouse. No drivers or new skills are needed to run queries on any data.

Less Data Movement over Network

Having similar data in various areas lowers data access latency since required information can be recovered nearer to where the exchange is executing. The more replicas of a connection there are, the greater are the chances that the necessary data is discovered where the exchange is executing.
Consequently, data replication diminishes the development of data among sites and expands the speed of processing.

Disaster Recovery

The primary advantage of replication appears in terms of disaster recovery and data protection. It guarantees that a consistent backup is kept up in case of a disaster, equipment calamity, or a framework break, which can compromise data.

Data Reliability and Availability

Data replication is especially helpful for worldwide associations, spread over various areas. By spreading your data across multiple machines, you can ensure that your application's data continues to be available even in the event of a hardware failure on any given machine in the replication group.

Improve Data Durability Guarantee

Replication permits you to expand this strength by guaranteeing that data modifications are kept in touch with different machines. This implies numerous disks, disk controllers, power supplies, and CPUs are utilized to guarantee that your information change makes it to stable stockpiling.Lyftrondata data replication allows you to increase this durability guarantee by ensuring that data modifications are written to multiple machines. Focus nothing but only on results with Lyftrondata.

Other products

Delta
Lake

Data
Replication

Data
Pipeline

Data
Loader

Data
Sharing

SQL
Workbench

Data
Warehouse

Data
Catalog

Data
Hub

Data
Preparation

Data
Virtualization

API Data
Model

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