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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 Datorios?

Streamline your workflow by creating and managing ETL/ELT pipelines in a user-friendly environment that simplifies debugging processes. Prior to deployment, visualize changes to enhance development, speed up testing, and minimize errors during debugging. Leverage Python along with our intuitive interface to promote collaboration among team members, ultimately conserving precious time during challenging development phases. Integrate data from any format, source, or size without hesitation, ensuring ease of use. Achieve the highest level of data accuracy by employing real-time error flagging and debugging throughout specific processes and across entire pipelines. Automatically scale your infrastructure using compute, storage, and network resources as data volume and velocity increase, ensuring optimal performance. Additionally, real-time data observability enables you to detect and address issues effectively, allowing for a deep dive into your data pipelines for thorough troubleshooting and optimization. This comprehensive approach not only boosts efficiency but also enhances the overall quality of your data management efforts.

Media

Media

Integrations Supported

Amazon Kinesis
Amazon RDS
Apache Kafka
AppsFlyer
Azure Cosmos DB
Elasticsearch
Freshdesk
Google Ads
Google Analytics
Google Cloud SQL
Google Sheets
IBM Db2
Microsoft Excel
MongoDB
MySQL
SQL Server
Salesforce
Segment
SendGrid
Zoho CRM

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

$499 per month
Free Version
Free Trial Offered?

Pricing Information

Free
Credit based pricing system
Free Version
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

Sprinkle Data

Date Founded

2017

Company Location

United States

Company Website

www.sprinkledata.com

Company Facts

Organization Name

Datorios

Date Founded

2020

Company Location

United States

Company Website

datorios.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

Data Extraction

Not specified

Data Management

Data Integration
Data Migration
Information Governance

ETL

Data Filtering
Job Scheduling
Match & Merge
Non-Relational Transformations
Version Control

Integration

Dashboard
ETL - Extract / Transform / Load
Multiple Data Sources

Master Data Management

Data Governance
Data Source Integrations
Metadata Management
Process Management
Relationship Mapping

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