Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Effortlessly create and manage ETL pipelines using Boltic, allowing you to extract, transform, and load data from various sources to any target without needing to write any code. With advanced transformation capabilities, you can build comprehensive data pipelines that prepare your data for analytics. By integrating with over 100 pre-existing integrations, you can seamlessly combine different data sources in just a few clicks within a cloud environment. Boltic also offers a No-code transformation feature alongside a Script Engine for those who prefer to develop custom scripts for data exploration and cleaning. Collaborate with your team to tackle organization-wide challenges more efficiently on a secure cloud platform dedicated to data operations. Additionally, you can automate the scheduling of ETL pipelines to run at set intervals, simplifying the processes of importing, cleaning, transforming, storing, and sharing data. Utilize AI and ML to monitor and analyze crucial business metrics, enabling you to gain valuable insights while staying alert to any potential issues or opportunities that may arise. This comprehensive solution not only enhances data management but also fosters collaboration and informed decision-making across your organization.
Description
Consolidate information from over 100 sources to empower your team to provide enhanced insights swiftly. Integrate data from any data warehouse into the business tools preferred by your teams. Optimize your data operations efficiently through a singular platform uniquely designed to fulfill all the needs of your data teams, potentially reducing your expenses by as much as 75%. If you're looking to avoid the complexities of managing a data warehouse, our platform is the sole solution that provides an integrated managed data warehouse tailored to address all your data management requirements. Choose from an expanding collection of more than 100 fully managed connectors and over 20 destinations, including SaaS applications, databases, data warehouses, and beyond. Enjoy complete and secure control over the specific data you wish to transfer, while scheduling and transforming your data for analytics effortlessly, ensuring it remains in sync with your operational pipelines. Our platform not only simplifies data management but also enhances collaboration across teams, making it a valuable asset for any organization.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Amazon Redshift
Yes
AppsFlyer
Yes
CleverTap
Yes
Google Analytics
Yes
Google Cloud BigQuery
Yes
Google Cloud Storage
Yes
Google Drive
Yes
Google Search Console
Yes
Google Sheets
Yes
MySQL
Yes
Integrations
Amazon Redshift
Yes
AppsFlyer
Yes
CleverTap
Yes
Google Analytics
Yes
Google Cloud BigQuery
Yes
Google Cloud Storage
Yes
Google Drive
Yes
Google Search Console
Yes
Google Sheets
Yes
MySQL
Yes
Pricing Details
$249 per month
Free Trial
Yes
Free Version
Yes
Pricing Details
$250 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
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)
Yes
In Person
No
Vendor Details
Company Name
Boltic
Country
United States
Website
www.boltic.io
Vendor Details
Company Name
DataChannel
Founded
2020
Country
India
Website
www.datachannel.co
Product Features
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
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
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
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