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Average Ratings 0 Ratings
Description
Effortlessly extract, transform, and load (ETL) data for analytics and data science applications. Create seamless, code-free data flows directed towards data lakes and data marts. This functionality is included within Oracle’s extensive suite of integration tools. The user-friendly interface allows for easy configuration of integration parameters and automates the mapping of data between various sources and targets. You can utilize pre-built operators like joins, aggregates, or expressions to effectively manipulate your data. Central management of your processes enables the use of parameters to adjust specific configuration settings during runtime. Users can actively prepare their datasets and observe transformation results in real-time for process validation. Enhance your productivity and adjust data flows instantly, without needing to wait for execution completion. Additionally, this solution helps prevent broken integration flows and minimizes maintenance challenges as data schemas change over time, ensuring a smooth data management experience. This capability empowers users to focus on gaining insights from their data rather than grappling with technical difficulties.
Description
Accel-DS stands out as the sole tool available today that utilizes a zero coding, drag-and-drop interface to help you get started effortlessly. As you construct your dataset, you can view results in real-time within a user-friendly spreadsheet-like format! This same spreadsheet can be utilized to execute data cleansing transformations. This groundbreaking solution revolutionizes the conventional ETL development cycle, which typically involves writing code for extracting, transforming, loading, and finally reviewing results. Designed specifically with business and end users in mind, it allows for seamless integration of data from various sources, including databases, XML, JSON, WSDL, and streams like Twitter and Sys Log. No coding skills are necessary; simply drag and drop your data sources. Built from the ground up for Big Data, it enables the easy ingestion, cleansing, and transformation of data from any source into Hadoop or Big Data environments. It can efficiently load gigabytes of data from relational databases and files into Big Data systems in just a matter of minutes. Moreover, it supports both traditional and complex data types such as maps and structures, making it a versatile solution for diverse data needs. This versatility ensures that users can adapt the tool to fit their specific requirements without hassle.
API Access
Has API
API Access
Has API
Pricing Details
$0.04 per GB per hour
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Oracle
Founded
1977
Country
United States
Website
www.oracle.com/integration/oracle-cloud-infrastructure-data-integration/
Vendor Details
Company Name
Proden Technologies
Country
United States
Website
prodentechnologies.net/data-integration-tools.php
Product Features
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
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
Web Services
Product Features
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
Integration
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services