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Weld Features

What are the features of Weld?

Functionality

  • Diverse Extraction Points
  • Data Structuring
  • Consolidation
  • Data Cleaning
  • Cloud Extraction
  • Visualization
  • Extraction
  • Transformation
  • Loading
  • Automation
  • Scalability

Management

  • Reporting
  • Auditing

Data Management

  • Data Modeling

Diverse Extraction Points

  • Diverse Extraction Points

Top Rated Weld Alternatives

Filter for Features

Functionality

Diverse Extraction Points

Based on 28 Weld reviews. Pull any required data from a variety of sources, including email, web pages, PDFs, and other documents.
79%
(Based on 28 reviews)

Data Structuring

Organize extracted data into a more easily digestible structure. This feature was mentioned in 31 Weld reviews.
90%
(Based on 31 reviews)

Consolidation

Based on 30 Weld reviews. Amass extracted data in a variety of data formats like spreadsheets and .csv.
91%
(Based on 30 reviews)

Data Cleaning

Clean extracted data by removing duplicates, clearing excess characters, grouping by characteristic, and more. 31 reviewers of Weld have provided feedback on this feature.
89%
(Based on 31 reviews)

Cloud Extraction

As reported in 27 Weld reviews. Stores data in cloud storage for access at any point.
90%
(Based on 27 reviews)

Visualization

Generate visual data representations from extracted data. 25 reviewers of Weld have provided feedback on this feature.
67%
(Based on 25 reviews)

Extraction

Extract data from the designated source(s) like relational databases, JSON files, and XML files. This feature was mentioned in 41 Weld reviews.
91%
(Based on 41 reviews)

Transformation

Based on 41 Weld reviews. Cleanse and re-format extracted data to the needed target format.
91%
(Based on 41 reviews)

Loading

Load reformatted data into target database, data warehouse, or other storage location. This feature was mentioned in 39 Weld reviews.
92%
(Based on 39 reviews)

Automation

Arrange ETL processes to occur automatically on needed time schedule (e.g., daily, weekly, monthly). 38 reviewers of Weld have provided feedback on this feature.
87%
(Based on 38 reviews)

Scalability

Capable of scaling processing power up or down based on ETL volume. This feature was mentioned in 38 Weld reviews.
90%
(Based on 38 reviews)

Debugging

Ensures live debugging to alert if any failure during data sync. 19 reviewers of Weld have provided feedback on this feature.
88%
(Based on 19 reviews)

Workflow Automations

Supports the creation of automated workflows and data pipelines. 19 reviewers of Weld have provided feedback on this feature.
90%
(Based on 19 reviews)

Notifications

As reported in 19 Weld reviews. Supports notifications in messaging applications such as Slack, and even in workflows.
88%
(Based on 19 reviews)

API Integrations

As reported in 20 Weld reviews. Provides several pre-built connectors and API integrations to build data workflows.
85%
(Based on 20 reviews)

Programmed trigger of data sync

Programmatic trigger of syncs via public APIs 18 reviewers of Weld have provided feedback on this feature.
84%
(Based on 18 reviews)

Incremental data sync

Based on 21 Weld reviews. Native support for incremental syncing
91%
(Based on 21 reviews)

Data audit

Based on 17 Weld reviews. Move sync logs back into warehouse for auditing
85%
(Based on 17 reviews)

Management

Reporting

View ETL process data via reports and visualizations like charts and graphs. This feature was mentioned in 35 Weld reviews.
75%
(Based on 35 reviews)

Auditing

As reported in 30 Weld reviews. Record ETL historical data for auditing and potential data correction needs.
77%
(Based on 30 reviews)

Source and Destination Selection

Based on 16 Weld reviews. Allow users to select the data's source(s) and destination(s) for the exchange process.
88%
(Based on 16 reviews)

Solution Integration

As reported in 16 Weld reviews. Integrate with other data-oriented solutions.
92%
(Based on 16 reviews)

Reporting and Visualization

Generate reports, dashboards, and graphics around data exchange KPIs and stats. This feature was mentioned in 15 Weld reviews.
74%
(Based on 15 reviews)

Data Governance

As reported in 16 Weld reviews. Provide data governance strategies or capabilities for exchanged and acquired data.
82%
(Based on 16 reviews)

Exchange Functions

Data Transmission

Transmit data without altering the data’s inherent meaning. 16 reviewers of Weld have provided feedback on this feature.
93%
(Based on 16 reviews)

Data Normalization

Normalize transmitted data for easier consumption by the receiving system. 14 reviewers of Weld have provided feedback on this feature.
85%
(Based on 14 reviews)

Data as a Service

Market Data Acquisition

Based on 10 Weld reviews. Facilitate market data-as-a-service acquisition.
72%
(Based on 10 reviews)

Industry Data Acquisition

As reported in 11 Weld reviews. Facilitate industry data-as-a-service acquisition.
73%
(Based on 11 reviews)

Source Data Acquisition

Facilitate consumption source (e.g., web, mobile, IoT) data-as-a-service acquisition. 14 reviewers of Weld have provided feedback on this feature.
86%
(Based on 14 reviews)

Targeted Data Acquisition

Facilitate targeted subject matter data-as-a-service acquisition. This feature was mentioned in 11 Weld reviews.
79%
(Based on 11 reviews)

Data Management

Data Integration

Integrates data and data-related technologies into a single environment.

Not enough data

Metadata

Provides metadata management capabilities.

Not enough data

Self-service

Empowers the user via a self-service capability to manage data workflows.

Not enough data

Automated workflows

Completely automates end-to-end data workflows across the data integration lifecycle.

Not enough data

Analytics

Analytics capabilities

Provides a high performance, flexibile analytics platform to support data management and embrace data driven decision making.

Not enough data

Dasboard visualizations

Collect and displays metrics across the data integration via a dashboard.

Not enough data

Monitoring and Management

Data Observability

Involved solely in monitoring data pipelines, sending alerts and troubleshooting data.

Not enough data

Testing capabilities

Deploys testing capabilities such as report testing, big data testing, cloud data migration testing, ETL and data warehouse testing.

Not enough data

Cloud Deployment

Hybrid cloud support

Supports analytical platforms and data pipelines across complex hybrid environments.

Not enough data

Cloud migration capabilities

Supports migration of component or pipeline to different cloud environments.

Not enough data

Data Management

Data Modeling

Based on 21 Weld reviews. Supports the creation of SQL models to query any data warehouse.
92%
(Based on 21 reviews)

Auditing

Detailed logging for auditing needs. This feature was mentioned in 19 Weld reviews.
83%
(Based on 19 reviews)

Observability

Based on 20 Weld reviews. Real-time visibility into the reverse ETL process.
90%
(Based on 20 reviews)

Data mapping

Based on 20 Weld reviews. Configures data mapping from data warehouse to target tools.
88%
(Based on 20 reviews)

Reporting

View the reverse ETL data via reports and charts through data viz and sync progress. 19 reviewers of Weld have provided feedback on this feature.
82%
(Based on 19 reviews)

Security

Security Compliance

Based on 17 Weld reviews. Supports industry standards (GDPR, CCPA etc) before, during, and after the reverse ETL process.
88%
(Based on 17 reviews)

Data Encryption

Based on 17 Weld reviews. Ensures data encryption across multiple levels of the reverse ETL process.
91%
(Based on 17 reviews)

Diverse Extraction Points

Diverse Extraction Points

Based on 28 Weld reviews. Pull any required data from a variety of sources, including email, web pages, PDFs, and other documents.
79%
(Based on 28 reviews)