Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
A change data capture (CDC), replication, and synchronization solution for hybrid estates. It securely captures and applies sub-second data changes across mainframe, distributed, and cloud systems—enabling real-time and bidirectional replication where needed—so analytics, AI, and operational apps run on current data.
Key capabilities:
• Real-time CDC capture/apply with low latency
• Bidirectional replication and sync across heterogeneous endpoints
• Mainframe-to-cloud replication for modernization and migrations
• High-throughput pipelines with minimal disruption to production workloads
• Delivery to modern targets (e.g., Snowflake, AWS) without custom code
• Security + resilience: encryption and built-in recovery controls
Outcomes: fresher data for AI/analytics, faster modernization, and lower mainframe CPU by offloading downstream processing to cloud compute.
Description
Stelo is a comprehensive enterprise solution designed to seamlessly transfer data from any source to any destination for purposes such as analysis, reporting, forecasting, and overseeing business operations, B2B exchanges, and supply chain management. It enables effortless data movement among core relational databases and delta lakes in real-time, even across firewalls, ensuring accessibility for various teams and cloud platforms.
The Stelo Data Replicator offers dependable, high-speed, cost-effective replication capabilities for any relational database that can be accessed via ODBC, as well as non-relational databases utilizing Kafka, Delta Lakes, and flat file formats. By utilizing native data loading functions and taking advantage of multithreaded processing, Stelo ensures rapid and consistent performance when replicating multiple tables at the same time.
With an intuitive installation process that features graphical user interfaces, configuration wizards, and sophisticated tools, setting up and operating the product is simple and requires no programming expertise. Once operational, Stelo runs reliably in the background, eliminating the need for dedicated engineering resources for its maintenance and management. Not only does this streamline operations, but it also allows organizations to focus on leveraging their data effectively.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Adabas & Natural
Amazon Kinesis
Amazon Web Services (AWS)
Apache Hive
Apache Kafka
Azure Event Hubs
CA IDMS
Data Lakes on AWS
Elastic Cloud
Google Cloud Platform
Integrations
Adabas & Natural
Amazon Kinesis
Amazon Web Services (AWS)
Apache Hive
Apache Kafka
Azure Event Hubs
CA IDMS
Data Lakes on AWS
Elastic Cloud
Google Cloud Platform
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$30,000 annual
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
Rocket Software
Founded
1990
Country
United States
Website
www.rocketsoftware.com/en-us/products/dataedge/data-replicate-and-sync
Vendor Details
Company Name
Stelo
Founded
1992
Country
United States
Website
www.stelodata.com
Product Features
Data Replication
Asynchronous Data Replication
Automated Data Retention
Continuous Replication
Cross-Platform Replication
Dashboard
Instant Failover
Orchestration
Remote Database Replication
Reporting / Analytics
Simulation / Testing
Synchronous Data Replication
Product Features
Data Replication
Asynchronous Data Replication
Automated Data Retention
Continuous Replication
Cross-Platform Replication
Dashboard
Instant Failover
Orchestration
Remote Database Replication
Reporting / Analytics
Simulation / Testing
Synchronous Data Replication