Compare Ascend vs Blendo

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

Blendo is an ETL data integration tool that helps its users to simplify their way of connecting to their databases. The software supports natively built types of data connections that ease the process of loading, extracting, and transforming. Users can get to their BI insights much faster through the automated data transformation and management provided by the software. One can automate and sync their data from any SaaS application into their warehouse through the readymade connectors that help users to connect to any data source with ease and sync the data right away. Blendo allows its users to combine data from various sources such as marketing, sales, or support and hence use the data to enhance the growth of the business. The software enables its users to enhance their exploration of insights time with reliable data, analytics-ready schemas, and tables that are created and optimized for analysis with any BI software. It integrates and syncs the data of the users to Redshift, Google BigQuery, Amazon, and many others. ..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.

NA

• Freshdesk
• Stripe Payments
• HubSpot CRM
• Google Analytics
• Pipedrive CRM
• Shopify
• MailChimp
• Xero

Top alternatives to Ascend

Elevate LMS

Rise

Incognito for Slack

Transcend Consent Manager

NFS Ascent

Top alternatives to Blendo

Stitch

Panoply

Hevo

Matillion ETL

Skyvia