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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Paradime is an advanced analytics platform powered by AI, aimed at improving data operations by speeding up dbt pipeline processes, lowering data warehouse expenses by more than 20%, and enhancing the return on investment for analytics. Its intelligent integrated development environment (IDE) simplifies dbt development, potentially leading to a coding time reduction of up to 83%, while its continuous integration and continuous deployment (CI/CD) functionalities accelerate pipeline delivery, diminishing the necessity for extra platform engineers. The Radar feature further refines data operations by offering automatic savings and boosting efficiency. With over 50 integrations, Paradime connects effortlessly with different applications to facilitate extensive analytics workflows. Tailored for enterprise usage, it guarantees secure, adaptable, and scalable solutions for large-scale data management. Compliance with GDPR and CCPA regulations is ensured through the implementation of appropriate technical and organizational safeguards to protect user data. Furthermore, regular vulnerability assessments and annual penetration tests are conducted to maintain the integrity and security of infrastructure systems, providing peace of mind to users. Overall, Paradime is not just a tool; it is a comprehensive solution designed to tackle the complexities of modern data analytics efficiently.

Description

biGENIUS automates all phases of analytic data management solutions (e.g. data warehouses, data lakes and data marts. thereby allowing you to turn your data into a business as quickly and cost-effectively as possible. Your data analytics solutions will save you time, effort and money. Easy integration of new ideas and data into data analytics solutions. The metadata-driven approach allows you to take advantage of new technologies. Advancement of digitalization requires traditional data warehouses (DWH) as well as business intelligence systems to harness an increasing amount of data. Analytical data management is essential to support business decision making today. It must integrate new data sources, support new technologies, and deliver effective solutions faster than ever, ideally with limited resources.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
Asana
Bitbucket
Firebolt
Git
GitHub
GitLab
Google Analytics
Google Cloud BigQuery
Google Sheets
Hightouch
Looker
MotherDuck
PostgreSQL
Sigma
Snowflake
Stripe
dbt

Integrations

Amazon Web Services (AWS)
Asana
Bitbucket
Firebolt
Git
GitHub
GitLab
Google Analytics
Google Cloud BigQuery
Google Sheets
Hightouch
Looker
MotherDuck
PostgreSQL
Sigma
Snowflake
Stripe
dbt

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

833CHF/seat/month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Paradime

Founded

2020

Country

United States

Website

www.paradime.io

Vendor Details

Company Name

biGENIUS AG

Founded

2011

Country

Switzerland

Website

www.bigenius-x.com

Product Features

Cloud Cost Management

Cost Reduction Optimization
Dashboard
Data Import/Export
Data Storage
Data Visualization
Resource Usage Reporting
Roles / Permissions
Spend and Cost Reporting

Product Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

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