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support

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Description

Save hours by developing and maintaining ETL/ELT pipelines using an easy-to use environment that allows for effortless debugging. Visualize changes before deployment to simplify development, accelerate testing, and reduce debugging. Work with Python and our simple interface to foster team collaboration and save valuable time during the most difficult development stages. Consolidate data in any format, from any source and any size with no hesitations. Ensure the most accurate data by utilizing error flagging and debugging in real-time within specific data processes as well as across pipelines. Use compute, storage and network bandwidth to auto-scale infrastructure as data volume and speed increase. Real-time data observability can help you identify and pinpoint problems. Zoom in and thoroughly troubleshoot your data pipelines.

Description

In today's fast-paced business environment, companies must quickly adjust to the constantly shifting demands and preferences of their customers. Sprinkle provides an agile analytics platform designed to manage these expectations effortlessly. Our mission in founding Sprinkle was to simplify the entire data analytics process for organizations, eliminating the hassle of integrating data from multiple sources, adapting to changing schemas, and overseeing complex pipelines. We have developed a user-friendly platform that allows individuals across all levels of an organization to explore and analyze data without needing technical expertise. Drawing on our extensive experience with data analytics in collaboration with industry leaders such as Flipkart, Inmobi, and Yahoo, we understand the importance of having dedicated teams of data scientists, business analysts, and engineers who are capable of generating valuable insights and reports. Many organizations, however, face challenges in achieving straightforward self-service reporting and effective data exploration. Recognizing this gap, we created a solution that enables all businesses to harness the power of their data effectively, ensuring they remain competitive in a data-driven world. Thus, our platform aims to empower organizations of all sizes to make informed decisions based on real-time data insights.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Kinesis No 
Amazon RDS No 
Apache Kafka No 
Azure Cosmos DB No 
Azure Storage No 
Elasticsearch No 
Google Ads No 
Google Analytics No 
Google Cloud SQL No 
Gremlin No 
IBM Db2 No 
MariaDB No 
Microsoft Excel No 
Mixpanel No 
MongoDB No 
PostgreSQL No 
Salesforce No 
Segment No 
SendGrid No 
Zoho CRM No 

Integrations

Amazon Kinesis Yes 
Amazon RDS Yes 
Apache Kafka Yes 
Azure Cosmos DB Yes 
Azure Storage Yes 
Elasticsearch Yes 
Google Ads Yes 
Google Analytics Yes 
Google Cloud SQL Yes 
Gremlin Yes 
IBM Db2 Yes 
MariaDB Yes 
Microsoft Excel Yes 
Mixpanel Yes 
MongoDB Yes 
PostgreSQL Yes 
Salesforce Yes 
Segment Yes 
SendGrid Yes 
Zoho CRM Yes 

Pricing Details

Free
Credit based pricing system
Free Trial Yes 
Free Version Yes 

Pricing Details

$499 per month
Free Trial Yes 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Datorios

Founded

2020

Country

United States

Website

datorios.com

Vendor Details

Company Name

Sprinkle Data

Founded

2017

Country

United States

Website

www.sprinkledata.com

Product Features

Data Extraction

Disparate Data Collection No 
Document Extraction No 
Email Address Extraction No 
IP Address Extraction No 
Image Extraction No 
Phone Number Extraction No 
Pricing Extraction No 
Web Data Extraction No 

Data Management

Customer Data No 
Data Analysis No 
Data Capture No 
Data Integration Yes 
Data Migration Yes 
Data Quality Control No 
Data Security No 
Information Governance Yes 
Master Data Management No 
Match & Merge No 

ETL

Data Analysis No 
Data Filtering Yes 
Data Quality Control No 
Job Scheduling Yes 
Match & Merge Yes 
Metadata Management No 
Non-Relational Transformations Yes 
Version Control Yes 

Integration

Dashboard Yes 
ETL - Extract / Transform / Load Yes 
Metadata Management No 
Multiple Data Sources Yes 
Web Services No 

Master Data Management

Data Governance Yes 
Data Masking No 
Data Source Integrations Yes 
Hierarchy Management No 
Match & Merge No 
Metadata Management Yes 
Multi-Domain No 
Process Management Yes 
Relationship Mapping Yes 
Visualization No 

Product Features

Business Intelligence

Ad Hoc Reports Yes 
Benchmarking No 
Budgeting & Forecasting No 
Dashboard Yes 
Data Analysis No 
Key Performance Indicators Yes 
Natural Language Generation (NLG) No 
Performance Metrics Yes 
Predictive Analytics Yes 
Profitability Analysis Yes 
Strategic Planning No 
Trend / Problem Indicators No 
Visual Analytics Yes 

Data Extraction

Disparate Data Collection Yes 
Document Extraction No 
Email Address Extraction No 
IP Address Extraction No 
Image Extraction No 
Phone Number Extraction No 
Pricing Extraction No 
Web Data Extraction No 

Data Management

Customer Data Yes 
Data Analysis Yes 
Data Capture Yes 
Data Integration Yes 
Data Migration No 
Data Quality Control Yes 
Data Security Yes 
Information Governance Yes 
Master Data Management Yes 
Match & Merge No 

ETL

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

Integration

Dashboard Yes 
ETL - Extract / Transform / Load Yes 
Metadata Management Yes 
Multiple Data Sources Yes 
Web Services No 

Alternatives

Alternatives

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