Nexla
Nexla makes it simple for anyone to create scalable data flows. Teams working with data get a no/low-code unified experience to integrate, transform, provision, and monitor data for any use case.
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Use Cases
Any Use CasesKeywords
- data operations
- data mesh
- data fabric
- data products
- metadata
- metadata intelligence
- catalog
- integration
- data integration
- connector
- source
- destination
- monitor
- governance
- dataops
Overview
Nexla is on a mission to enable ready-to-use data for everyone. We are reimagining how companies work with data using a modern, no/low-code approach that is simple yet capable of solving the most complex data challenges in the enterprise.
Our platform makes it simple for anyone to create scalable data flows. Teams working with data get a no/low-code unified experience to integrate, transform, deliver, and monitor data for any use case.
Data users with varying skill levels work collaboratively to create ready to use data products. As a result, organizations get zero-friction, governed, and agile data operations. For Collibra customers, that means frictionless integration, discovery, and management of data and one-click cataloguing into your Collibra catalog with data from anywhere, in any format.
To learn more, visit https://www.nexla.com
Organizations understand the important role data plays as a strategic asset for various business goals, such as improving customer experiences, running efficient business operations, or improving products and services.
However, accessing, managing, and getting data that is ready-to-use for these initiatives has become very complex. In order to make more data usable, data engineering teams are generally made responsible for building data pipelines to reliably and efficiently deliver data. But the process of getting and delivering data comes with numerous difficulties for data engineering teams:
1. Data engineers are spending a lot of time handcoding repetitive data ingestion tasks.
2. Since data workflows and platforms continuously change, data engineers build and maintain, and then rebuild again complex infrastructure using old time-consuming ways.
3. Building real-time data pipelines for low latency systems becomes even harder to build and maintain.
4. Huge efforts are made by engineering teams to manually tune pipelines, optimize performance, and architecture to meet business demands.
As a result, engineering teams remain under immense pressure and fall behind on their projects. Moreover, they are unable to focus on strategic projects because they can’t get out of the firefighting mode.
On the other hand, operations and analytics team become dissatisfied with data engineering teams as they struggle to get their hands on data that’s crucial for the business operations and generating insights for the business.
What is Nexla?
Nexla Platform Overview
Selected Listings
Nexla makes it simple for anyone to catalog data in one click. Teams working with data get a no/low-code unified experience to integrate data, work with the data products, and...
- Data Catalog
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