Cirata's solutions are trusted by hundreds of global brands and industry leaders
A top 3 US bank faced challenges in meeting their stringent disaster recovery service level agreements due to their existing infrastructure's limitations. By integrating Cirata LiveData Migrator alongside IBM Big Replicate, the bank was able to achieve continuous, real-time data replication, ensuring that over a million transactions per minute could be synchronized without disrupting their operational systems.
A leading British retailer partnered with Cirata to enhance data flexibility and cost-effectively manage massive data volumes across 3,700 outlets. Using IBM Storage Ceph and Cirata's Data Migrator, they streamlined data replication, improved disaster recovery with near-zero RTO/RPO, and began transitioning from Hadoop to a more agile Ceph-based architecture. This shift future-proofed their analytics, enabling a flexible, open data platform.
NatWest, a leading UK bank, successfully transitioned their Hadoop data lake to the cloud with Cirata's Data Migrator. NatWest strategically leveraged AWS cloud’s Sage analytics, overcoming the challenge of consolidating HIVE metadata into the Amazon Glue repository. Their streamlined data transfer process allowed for the efficient migration of 1.4PB of data and increased the use of AI models across the bank.
As part of a 5-year modernization plan, Australia's oldest bank, Westpac, transformed its technology by adopting a digital and hybrid multi-cloud strategy utilizing Cirata's Data Migrator to migrate their Hadoop data into the Azure data lake. Partnering with Microsoft Azure and Accenture to enhance customer insights, Westpac utilized Azure Synapse's analytics capabilities, while Accenture streamlined their data ingestion process with minimal disruption to existing operations.
du, a top telecom operator in the UAE, enhanced support for the Dubai Smart City initiative by implementing Cirata's advanced data migration technology. This solution transformed their disaster recovery process, ensuring continuous data availability, reducing manual intervention, and improving the reliability of their data lake.
Manulife revamped its Enterprise Data Lake strategy with Microsoft Azure to address regional analytics challenges. Utilizing Cirata Data Migrator, they successfully migrated 300 TB of data, reduced Hadoop infrastructure costs, and improved access to Azure analytics for critical insights. This move highlights their dedication to providing innovative solutions for global data challenges.
A global telecommunications leader transformed their business with cloud computing and tackled the challenge of migrating over 20 petabytes of data without disrupting operations. Using Cirata Data Migrator, they cut their timeline by 50%, migrated the data smoothly, and significantly scaled their analytics efforts, leading to innovative AI and machine learning applications for improved fraud detection and achieved over 1,000,000,000 blocked robocalls.
A global leader in payments and financial technology successfully modernized their cloud data lake using Cirata Data Migrator. Cirata offered a solution with excellent performance and support, allowing the organization to automate data transfers, optimize network bandwidth, manage data transfer jobs, and seamlessly modernize their data architecture.
A leading global automotive company enhanced its lead generation and AI optimization by migrating to Databricks. This shift moved them from a Hadoop data lake to utilizing cloud and AI capabilities, aided by Cirata Data Migrator. The process was seamless, ensuring no disruption to business operations. Consequently, the company significantly reduced its on-premise Hadoop footprint and achieved an impressive 18-fold increase in lead quality.
Sanlam selected Data Migrator both to perform the initial migration and the ongoing replication of changes from production to the DR environment. Data Migrator replicates changes as they occur in production so that data is kept consistent, enabling Sanlam to support a near-zero recovery time objective (RTO) and recovery point objective (RPO).
In the use case of a Hadoop to Amazon S3 data migration and replication, GoDaddy found Data Migrator to be the optimal approach to deliver the best time to value, rather than running a more time-consuming and costly manual migration project internally.