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What is Spark?

Digital contracts that are seamlessly integrated into your CRM and marketing tools enhance your sales and marketing operations by providing a unified login, thereby removing the complexities of managing several platforms. Specifically designed for the real estate industry, Spark equips your team to oversee the entire sales process, from managing inventory to generating contracts. Given that each developer has distinct criteria for assessing contacts and that team configurations can differ significantly, Spark offers customizable solutions that adapt to your specific workflow while maintaining operational continuity. Whether your focus is on condos, townhomes, master-planned developments, single-family residences, or apartments, Spark delivers a comprehensive platform essential for the selling, marketing, closing, and reporting of your diverse new development projects. Our dedication starts with a deep understanding of your objectives, ensuring that the platform aligns with your team's preferences and the distinct needs of your local market. The consultative process kicks off with the creation of a tailored onboarding and training plan that actively involves your whole team, promoting a spirit of collaboration for achieving success. This customized strategy guarantees that Spark not only addresses your existing demands but also adapts as your business evolves over time, allowing for continuous growth and improvement. Ultimately, this level of personalization makes Spark an invaluable asset in navigating the complexities of real estate transactions.

What is Oracle Cloud Infrastructure Data Flow?

Oracle Cloud Infrastructure (OCI) Data Flow is an all-encompassing managed service designed for Apache Spark, allowing users to run processing tasks on vast amounts of data without the hassle of infrastructure deployment or management. By leveraging this service, developers can accelerate application delivery, focusing on app development rather than infrastructure issues. OCI Data Flow takes care of infrastructure provisioning, network configurations, and teardown once Spark jobs are complete, managing storage and security as well to greatly minimize the effort involved in creating and maintaining Spark applications for extensive data analysis. Additionally, with OCI Data Flow, the absence of clusters that need to be installed, patched, or upgraded leads to significant time savings and lower operational costs for various initiatives. Each Spark job utilizes private dedicated resources, eliminating the need for prior capacity planning. This results in organizations being able to adopt a pay-as-you-go pricing model, incurring costs solely for the infrastructure used during Spark job execution. Such a forward-thinking approach not only simplifies processes but also significantly boosts scalability and flexibility for applications driven by data. Ultimately, OCI Data Flow empowers businesses to unlock the full potential of their data processing capabilities while minimizing overhead.

Media

Media

Integrations Supported

Algonomy
Apache Atlas
Apache Spark
BDB Platform
CData API Server
Datameer
HugeGraph
Knowi
Mage Dynamic Data Masking
Mage Static Data Masking
Oracle Cloud Infrastructure
Sematext Cloud
dashDB Local

Integrations Supported

Algonomy
Apache Atlas
Apache Spark
BDB Platform
CData API Server
Datameer
HugeGraph
Knowi
Mage Dynamic Data Masking
Mage Static Data Masking
Oracle Cloud Infrastructure
Sematext Cloud
dashDB Local

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.0085 per GB per hour
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

Spark RE Technologies

Date Founded

2013

Company Location

Canada

Company Website

spark.re

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/big-data/data-flow/

Categories and Features

Real Estate Agency

Calendar Management
Client / Property Matching
Client Database
Commission Management
Contact Management
Contract Management
Email Marketing
Flyer / Catalog Printing
Lead Management
Listing Management
Property Database
Website Management

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

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

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