Related Products
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About
Paradime is an AI-powered analytics platform designed to enhance data operations by accelerating dbt pipelines, reducing data warehouse costs by over 20%, and boosting analytics ROI. Its smart IDE streamlines dbt development, potentially saving up to 83% of coding time, while the CI/CD features expedite pipeline delivery, reducing the need for additional platform engineers. The Radar component optimizes data operations, providing automatic cost savings and efficiency improvements. Paradime integrates seamlessly with various applications, offering over 50 integrations to support comprehensive analytics workflows. It is enterprise-ready, providing secure, flexible, and scalable solutions for large-scale data operations. GDPR and CCPA compliant, with appropriate technical and organizational measures in place to protect your information. Weekly vulnerability testing and yearly penetration testing to ensure infrastructure systems are always up to date.
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About
TENGU is a DataOps Orchestration Platform that works as a central workspace for data profiles of all levels. It provides data integration, extraction, transformation, loading all within it’s graph view UI in which you can intuitively monitor your data environment.
By using the platform, business, analytics & data teams need fewer meetings and service tickets to collect data, and can start right away with the data relevant to furthering the company.
The Platform offers a unique graph view in which every element is automatically generated with all available info based on metadata. While allowing you to perform all necessary actions from the same workspace.
Enhance collaboration and efficiency, with the ability to quickly add and share comments, documentation, tags, groups.
The platform enables anyone to get straight to the data with self-service. Thanks to the many automations and low to no-code functionalities and built-in assistant.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Companies and data analysts in search of a tool to streamline their analytics workflows and reduce expenses
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Audience
Companies that need a powerful data management and DataOps platform
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationParadime
Founded: 2020
United States
www.paradime.io
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Company InformationTengu
Founded: 2016
Belgium
www.tengu.io
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Categories |
Categories |
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Big Data Features
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Continuous Integration Features
Build Log
Change Management
Configuration Management
Continuous Delivery
Continuous Deployment
Debugging
Permission Management
Quality Assurance Management
Testing Management
Data Fabric Features
Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management
Data Management Features
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Master Data Management Features
Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization
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Integrations
GitHub
Google Analytics
Google Sheets
PostgreSQL
Stripe
Apache Kafka
ArangoDB
Asana
GitLab
Google Cloud SQL
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Integrations
GitHub
Google Analytics
Google Sheets
PostgreSQL
Stripe
Apache Kafka
ArangoDB
Asana
GitLab
Google Cloud SQL
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