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What is Tengu?

TENGU acts as a comprehensive data orchestration platform, providing a central hub where all data profiles can collaborate and work more effectively. This platform optimizes data utilization, ensuring quicker access and results. With its innovative graph view, TENGU offers full visibility and control over your data environment, making monitoring straightforward and intuitive. By consolidating all essential tools within a single workspace, it streamlines workflows. Furthermore, TENGU empowers users with self-service capabilities, monitoring features, and automation, catering to various data roles and facilitating operations ranging from integration to transformation, thereby enhancing overall productivity. This holistic approach not only simplifies data management but also fosters a more collaborative environment for teams.

What is Iteratively?

With Iteratively, you can remove inefficiencies, cut unnecessary costs, and avoid poor decision-making that stems from unreliable data. Our tracking plans synchronize your entire organization around customer data, ensuring that all team members stay informed. You can swiftly establish analytics using code snippets and automated quality checks, enabling you to skip the tedious process of data manipulation and achieve accurate analytics right from the start. By creating a cohesive taxonomy and a single source of truth for event definitions, you will uphold clarity throughout your operations. This approach allows you to eliminate the laborious task of data cleanup, ensuring your analytics are recorded correctly from the get-go. Moreover, with automated reports and alerts, you can catch potential analytics issues before they develop, removing the need for manual quality assessments. Protect your sensitive data by reviewing tracking changes and employing pre-configured rules to prevent PII leaks to your analytics providers. Your privacy is maintained as we do not store, process, or access your data. Additionally, Iteratively is compatible with both third-party and custom data pipelines, ensuring that your tracking plan remains up-to-date across your organization. Standardizing naming conventions through a company-wide taxonomy allows you to finally feel at ease, knowing that your analytics tracking is dependable and will perform reliably when it matters most. This way, your team can devote their attention to generating insights without the burden of concerns regarding data integrity and accuracy. In doing so, you foster a culture of informed decision-making driven by trustworthy data.

Media

Media

Integrations Supported

Google Analytics
Amplitude
Apache Kafka
Facebook
Firebase
GitHub
Google Cloud SQL
Google Cloud Storage
Google Kubernetes Engine (GKE)
Google Sheets
Heap
HubSpot Customer Platform
Intercom
Jupyter Notebook
Mixpanel
Pendo
PostgreSQL
Segment
Stripe
Voxpopme

Integrations Supported

Google Analytics
Amplitude
Apache Kafka
Facebook
Firebase
GitHub
Google Cloud SQL
Google Cloud Storage
Google Kubernetes Engine (GKE)
Google Sheets
Heap
HubSpot Customer Platform
Intercom
Jupyter Notebook
Mixpanel
Pendo
PostgreSQL
Segment
Stripe
Voxpopme

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$120 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Tengu

Date Founded

2016

Company Location

Belgium

Company Website

www.tengu.io

Company Facts

Organization Name

Iteratively

Date Founded

2019

Company Location

United States

Company Website

iterative.ly/

Categories and Features

Big Data

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

Continuous Integration

Build Log
Change Management
Configuration Management
Continuous Delivery
Continuous Deployment
Debugging
Permission Management
Quality Assurance Management
Testing Management

Data Fabric

Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management

Data Management

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

Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization

Categories and Features

Customer Data Platforms (CDP)

Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling

Master Data Management

Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization

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