Next Pathway Introduces New Capabilities to Crawler360 and SHIFT Migration Suite
The next-generation version of Crawler360 supports the unwieldy ecosystem of tools and frameworks of Hadoop’s automated data exploration and optimization analysis.
FREMONT, CA: Next Pathway, an automated cloud migration company, announced enhanced capabilities within SHIFT Migration Suite and Crawler360, allowing enterprises to automatically migrate from Apache Hadoop to their preferred cloud targets, like Snowflake and Azure Synapse. This next-generation version of Crawler360 supports the unwieldy ecosystem of tools and frameworks of Hadoop’s automated data exploration and optimization analysis. To quickly identify the correct migration strategy, it scans different legacy programs and code types within Hadoop.
“Next Pathway’s industry-leading automation software enables organizations to accelerate their migrations and quickly get off Hadoop,” said Chetan Mathur, Chief Executive Officer, Next Pathway. “Automation through Crawler360 and SHIFT provides a solution for the most complex parts of a migration from Hadoop planning and execution.”
Azure Synapse, SHIFT supports the potential to translate complex legacy code styles to any cloud platform, like Snowflake, Google BigQuery, and Amazon Web Platforms, automatically within the Hadoop ecosystems Hive, Impala, and Spark. Crawler360 and SHIFT offer the most cost-effective, fast, and intelligent migration route away from Hadoop for organizations.
Solving the Hadoop Challenge
Initially, Hadoop data lakes were regarded as the ‘holy grail’ of big data analytics. These data lakes were a dumping ground in the short term for data that both lacked regulation and the capacity to execute complicated data science or analytics, thus producing exorbitant storage and computing costs.
“From siloed data to redundant datasets to ungoverned data, Hadoop has never lived up to its promise of an efficient and cost-effective data management and analytics solution,” said Mathur. “The cloud is the answer. The cloud is able to store, manage and activate massive volumes of data to optimize business. It delivers real operational benefits. A migration off of Hadoop and to the cloud is a commitment by organizations to modernize their data analytics capabilities.”
But it can be a daunting task to move from Hadoop data lakes to the cloud, forcing firms to stay bogged down in their’ data swamp.’ The predominant approach open to businesses seeking to move from Hadoop to the cloud until recently was offshore workers’ use, usually provided by major multinational system integrators. Developer teams were then forced to rewrite this technology into more modern cloud-based architectures manually. This strategy is expensive, slow and risky, and can leave the client without the business intelligence performance required. The integrated approach from Next Pathway offers a simplified, cost-effective, and low-risk strategy for consumers to move from Hadoop and to the cloud without interrupting or sharing essential business functions.