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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

5X is a comprehensive data management platform that consolidates all the necessary tools for centralizing, cleaning, modeling, and analyzing your data. With its user-friendly design, 5X seamlessly integrates with more than 500 data sources, allowing for smooth and continuous data flow across various systems through both pre-built and custom connectors. The platform features a wide array of functions, including ingestion, data warehousing, modeling, orchestration, and business intelligence, all presented within an intuitive interface. It efficiently manages diverse data movements from SaaS applications, databases, ERPs, and files, ensuring that data is automatically and securely transferred to data warehouses and lakes. Security is a top priority for 5X, as it encrypts data at the source and identifies personally identifiable information, applying encryption at the column level to safeguard sensitive data. Additionally, the platform is engineered to lower the total cost of ownership by 30% when compared to developing a custom solution, thereby boosting productivity through a single interface that enables the construction of complete data pipelines from start to finish. This makes 5X an ideal choice for businesses aiming to streamline their data processes effectively.

Description

Amazon Redshift is a modern cloud data warehouse platform developed by AWS to help organizations run large-scale analytics and AI-powered workloads with exceptional speed, scalability, and cost efficiency. The solution enables businesses to unify data across Amazon S3 data lakes, Redshift data warehouses, and federated third-party data sources using a secure and open lakehouse architecture. Redshift supports SQL-based analytics and provides organizations with the ability to process massive volumes of data while maintaining strong price-performance advantages compared to traditional cloud data warehouse platforms. The platform features AWS Graviton-powered RG instances that deliver faster query performance and lower operational costs while supporting open data formats such as Apache Iceberg and Apache Parquet. Redshift Serverless allows users to run analytics without provisioning or managing infrastructure, making it easier for teams to scale resources dynamically based on workload demands. The solution also includes zero-ETL integrations that enable near real-time analytics by connecting operational databases, streaming systems, and enterprise applications without requiring complex data engineering workflows. Amazon Redshift integrates with Amazon SageMaker for unified analytics and machine learning capabilities while also supporting Amazon Bedrock for generative AI applications and structured knowledge management. Organizations across industries use Redshift to improve forecasting, optimize business intelligence, accelerate machine learning operations, and monetize data assets more effectively.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon S3 Yes 
Amplitude Yes 
ChartMogul Yes 
Contrast Security Yes 
Customer.io Yes 
Databricks Yes 
Hevo Yes 
Lightdash Yes 
Preset Yes 
Vitally Yes 
Close Yes 
Equals No 
Geckoboard No 
GrowthBook No 
Integrate.io No 
Klaviyo Yes 
Rarible Yes 
Soda No 
Syntasa No 
Walmart Yes 

Integrations

Amazon S3 Yes 
Amplitude Yes 
ChartMogul Yes 
Contrast Security Yes 
Customer.io Yes 
Databricks Yes 
Hevo Yes 
Lightdash Yes 
Preset Yes 
Vitally Yes 
Close No 
Equals Yes 
Geckoboard Yes 
GrowthBook Yes 
Integrate.io Yes 
Klaviyo No 
Rarible No 
Soda Yes 
Syntasa Yes 
Walmart No 

Pricing Details

$350 per month
Free Trial No 
Free Version Yes 

Pricing Details

$0.543 per hour
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
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 No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

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

Types of Training

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

Vendor Details

Company Name

5X

Founded

2020

Country

United States

Website

www.5x.co/data-sources

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/redshift/

Product Features

Big Data

Collaboration No 
Data Blends No 
Data Cleansing No 
Data Mining No 
Data Visualization No 
Data Warehousing No 
High Volume Processing No 
No-Code Sandbox No 
Predictive Analytics No 
Templates No 

Business Intelligence

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

Dashboard

Annotations No 
Data Source Integrations No 
Functions / Calculations No 
Interactive No 
KPIs No 
OLAP No 
Private Dashboards No 
Public Dashboards No 
Scorecards No 
Themes No 
Visual Analytics No 
Widgets No 

Data Visualization

Analytics No 
Content Management No 
Dashboard Creation No 
Filtered Views No 
OLAP No 
Relational Display No 
Simulation Models No 
Visual Discovery No 

Embedded Analytics

Ad hoc Query No 
Application Development No 
Benchmarking No 
Dashboard No 
Interactive Reports No 
Mobile Reporting No 
Multi-User Collaboration No 
Self Service Analytics No 
Streaming Analytics No 
Visual Workflow Management No 

ETL

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

Product Features

Big Data

Collaboration No 
Data Blends No 
Data Cleansing No 
Data Mining No 
Data Visualization No 
Data Warehousing No 
High Volume Processing No 
No-Code Sandbox No 
Predictive Analytics No 
Templates No 

Data Warehouse

Ad hoc Query No 
Analytics No 
Data Integration No 
Data Migration No 
Data Quality Control No 
ETL - Extract / Transfer / Load No 
In-Memory Processing No 
Match & Merge No 

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