Sprinkle

Sprinkle

Sprinkle Data
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About

AWS Lake Formation is a service that makes it easy to set up a secure data lake in days. A data lake is a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis. A data lake lets you break down data silos and combine different types of analytics to gain insights and guide better business decisions. Setting up and managing data lakes today involves a lot of manual, complicated, and time-consuming tasks. This work includes loading data from diverse sources, monitoring those data flows, setting up partitions, turning on encryption and managing keys, defining transformation jobs and monitoring their operation, reorganizing data into a columnar format, deduplicating redundant data, and matching linked records. Once data has been loaded into the data lake, you need to grant fine-grained access to datasets, and audit access over time across a wide range of analytics and machine learning (ML) tools and services.

About

Businesses today need to adapt faster with ever evolving customer requirements and preferences. Sprinkle helps you manage these expectations with agile analytics platform that meets changing needs with ease. We started Sprinkle with the goal to simplify end to end data analytics for organisations, so that they don’t worry about integrating data from various sources, changing schemas and managing pipelines. We built a platform that empowers everyone in the organisation to browse and dig deeper into the data without any technical background. Our team has worked extensively with data while building analytics systems for companies like Flipkart, Inmobi, and Yahoo. These companies succeed by maintaining dedicated teams of data scientists, business analyst and engineers churning out reports and insights. We realized that most organizations struggle for simple self-serve reporting and data exploration. So we set out to build solution that will help all companies leverage data.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Data Lake solution that helps organizations move, store, catalog, and clean their data faster

Audience

Data centers, companies that need a Business Intelligence solution to move and manage a sizable amount of data

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

$499 per month
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/lake-formation/

Company Information

Sprinkle Data
Founded: 2017
United States
www.sprinkledata.com

Alternatives

Alternatives

BigLake

BigLake

Google
Hevo

Hevo

Hevo Data

Categories

Categories

Business Intelligence Features

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

Data Extraction Features

Disparate Data Collection
Document Extraction
Email Address Extraction
Image Extraction
IP Address Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

Data Management Features

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

ETL Features

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

Integration Features

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

Integrations

AWS App Mesh
Amazon EMR
Amazon Kinesis
Amazon RDS
Amazon S3
Amazon SageMaker Feature Store
Apache Kafka
Azure Storage
Collate
Google Ads
Google Cloud SQL
Google Cloud Storage
Gremlin
IBM Db2
Mixpanel
PostgreSQL
SQL Server
Segment
Velotix
Zoho CRM

Integrations

AWS App Mesh
Amazon EMR
Amazon Kinesis
Amazon RDS
Amazon S3
Amazon SageMaker Feature Store
Apache Kafka
Azure Storage
Collate
Google Ads
Google Cloud SQL
Google Cloud Storage
Gremlin
IBM Db2
Mixpanel
PostgreSQL
SQL Server
Segment
Velotix
Zoho CRM
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