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What is Sprinkle?

In the rapidly evolving landscape of modern business, companies are required to swiftly adapt to the ever-changing preferences and demands of their clientele. To address this need, Sprinkle offers an agile analytics platform that effortlessly manages these expectations. Our founding mission was to streamline the data analytics process for organizations, removing the complexities associated with integrating data from various sources, adjusting to evolving schemas, and overseeing intricate pipelines. We have crafted an intuitive platform that enables individuals at all organizational levels to explore and analyze data without needing specialized technical skills. Leveraging our broad experience in data analytics and partnerships with industry giants like Flipkart, Inmobi, and Yahoo, we recognize the crucial role that skilled teams of data scientists, business analysts, and engineers play in producing valuable insights and reports. Despite this, many organizations struggle with straightforward self-service reporting and effective data exploration. By identifying this challenge, we developed a solution that allows businesses of all sizes to effectively leverage their data, ensuring they maintain a competitive edge in a data-centric environment. Ultimately, our platform is designed to empower organizations to make informed decisions driven by real-time insights, fostering a culture of data-driven decision-making across the board. This approach not only enhances operational efficiency but also drives innovation and growth within the organization.

What is Mozart Data?

Mozart Data serves as a comprehensive modern data platform designed for the seamless consolidation, organization, and analysis of your data. You can establish a contemporary data stack in just one hour, all without the need for engineering expertise. Begin leveraging your data more effectively and empower your decision-making processes with data-driven insights right away. Experience the transformation of your data management and analysis capabilities today.

Media

Media

Integrations Supported

Amazon Kinesis
Apache Kafka
AppsFlyer
Freshdesk
Google Ads
Google Analytics
Google Cloud Storage
Google Sheets
MariaDB
Mixpanel
MongoDB
PostgreSQL
Salesforce
SendGrid

Integrations Supported

Amazon Kinesis
Apache Kafka
AppsFlyer
Freshdesk
Google Ads
Google Analytics
Google Cloud Storage
Google Sheets
MariaDB
Mixpanel
MongoDB
PostgreSQL
Salesforce
SendGrid
AdRoll
Greenhouse
Quaeris
ServiceNow
Workday Extend
Yahoo DSP

API Availability

Has API

API Availability

Pricing Information

$499 per month
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Sprinkle Data

Date Founded

2017

Company Location

United States

Company Website

www.sprinkledata.com

Company Facts

Organization Name

Mozart Data

Date Founded

2020

Company Location

United States

Company Website

www.mozartdata.com

Categories and Features

Business Intelligence

Ad Hoc Reports
Dashboard
Key Performance Indicators
Performance Metrics
Predictive Analytics
Profitability Analysis
Visual Analytics

Data Extraction

Disparate Data Collection

Data Lake

Not specified

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Quality Control
Data Security
Information Governance
Master Data Management

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources

Categories and Features

Big Data

Data Cleansing
Data Visualization
Data Warehousing

Data Analysis

Data Discovery
Data Visualization
High Volume Processing

Data Discovery

Self Service Data Preparation

Data Engineering

Not specified

Data Extraction

Disparate Data Collection

Data Governance

Access Control
Data Discovery
Data Mapping
Deletion Management

Data Lake

Not specified

Data Lineage

Not specified

Data Management

Customer Data
Data Analysis
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management

Data Observability

Not specified

Data Preparation

Data Access
Data Cleansing
Data Governance
Data Transformation
Visual User Interface

Data Quality

Data Discovery
Master Data Management

Data Warehouse

Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Version Control

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