Compare Ascend vs Airbyte

Summary

Ascend software is a platform used to Autonomous Dataflow Service to build, scale, and operate continuously optimized. Build Spark-based pipelines with less code. Deploy and run seamlessly in Microsoft Azure, Amazon Web Services, and Google Cloud Platform. Build and visualize declarative configurations using modular transforms in SQL and PySpark, with full lineage and dependency management. Developers, Small, Medium and Large companies make use of the software. ..show more

Airbyte is an open-source data integration solution, offering pre-built connectors from an API or UI. Enterprises can also customize the connectors to automate their data pipelines within a few minutes, besides generating pipelines in languages of their own choice. They do not have to worry about orchestration, scheduling or monitoring for a change. More than 800 companies are using the platform to get their data synced in real-time. Further, companies also get to self-host Airbyte, eliminating all chances of intervention by third parties. Services like optional, normalized schema let engineers opt for raw data to get going with their own normalization activities. Also, analysts can start using the data right away by opting for a similar module. Integrated APIs deployed by the software lets users get customized notifications without unnecessary delays. Companies just need to authenticate their warehouses and sources to get access to connectors that are capable of adapting to API related changes and schemas. ..show more

API Integration It allows easy integration of logic or data with other software application.

Compliance Tracking Helps in tracking and monitoring and auditing all the regulatory compliance requirements

Data Analysis Helps in analyzing stored raw data and converting them into useful reports

Data Extraction Helps in extracts the data from different databases and files

Data Filtering Helps in refining the data into datasets to form strategic groups

Data Integration Helps in collecting and combining data from multiple data sources and offer them in a unified manner to the user

Data Quality Control Helps in monitoring the quality of data input and processed

Data Transformation It helps in formatting the extracted data as specified in the target format.

Managed File Transfers Ad-hoc file transfers solution using FTP, HTTP, and etc.

Master Data Management Enables an organization to manage and integrate all of its critical corporate to a centralized point of reference

Match & Merge Helps matching data across multiple sources and to merge them for offering a better view to the data managers

Metadata Management Helps in administering and managing the data that describes other data

Version Control It gives the team the ability to recall specific versions of a document, code, content, file, or folder that records changes over time.

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• GitHub
• Google Sheets
• MySQL
• Stripe Payments
• HubSpot CRM
• Google Analytics
• Adobe Marketo Engage
• Salesforce
• Shopify

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