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What is Syniti Data Replication?

Syniti Data Replication, formerly called DBMoto, streamlines the complex tasks associated with heterogeneous Data Replication, Change Data Capture, and Data Transformation, reducing the need for consulting services. Featuring a user-friendly graphical interface and step-by-step wizards, it enables users to easily implement and manage powerful data replication capabilities without the hassle of crafting stored procedures or mastering proprietary coding languages for both source and target databases. This innovative solution accelerates data ingestion from multiple database systems, allowing for a seamless transition to preferred cloud services like Google Cloud, AWS, Microsoft Azure, and SAP Cloud, all while maintaining the integrity of on-premises operations. Designed to be agnostic to both source and target, it allows users to replicate selected data as snapshots, which significantly enhances the data migration experience. Available as a standalone product or through a subscription to the Syniti Knowledge Platform, it can also be accessed via a cloud-based solution through the Amazon Web Services (AWS) Marketplace, ensuring it meets essential integration requirements. Additionally, its adaptability empowers organizations to efficiently manage their data across various environments and optimize workflows, leading to improved operational efficiency and enhanced decision-making capabilities. This flexibility positions Syniti as a key player in the data integration landscape, meeting the diverse needs of modern enterprises.

What is Artie?

To address latency challenges and reduce resource usage, only the updated data should be transmitted to the intended destination. Change data capture (CDC) is a powerful technique for efficiently synchronizing information. By leveraging log-based replication, real-time data duplication can be achieved without affecting the performance of the primary database. This enables the rapid establishment of a complete solution without the necessity for continuous pipeline oversight. Consequently, data teams can redirect their efforts towards more impactful projects. The implementation of Artie is simple and involves only a few straightforward steps. Artie manages the backfilling of historical records and continuously sends new updates to the specified table as they occur, ensuring high levels of data consistency and reliability. In the event of an outage, Artie utilizes Kafka offsets to resume from the last recorded point, maintaining data integrity without requiring a full re-synchronization. This effective methodology not only simplifies data management but also significantly boosts overall operational efficiency. Moreover, by automating routine tasks, teams can allocate their time and resources toward innovation and strategic growth initiatives.

Media

Media

Integrations Supported

Rocket TMON One
Syniti Data Quality

Integrations Supported

Amazon DocumentDB
Amazon DynamoDB
Amazon Redshift
Amazon S3
Apache Kafka
Azure Databricks
Debezium
Google Cloud BigQuery
Google Cloud Pub/Sub
Grok Bot
Kubernetes
MongoDB
MySQL
Oracle Database
PostgreSQL
SQL Server
Snowflake

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

$231 per month
Free Version

Supported Platforms

Windows
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Syniti

Date Founded

1996

Company Location

United States

Company Website

www.syniti.com/solutions/syniti-data-replication/

Company Facts

Organization Name

Artie

Company Location

United States

Company Website

www.artie.so/

Categories and 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

Categories and Features

Data Replication

Not specified

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