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What is PoINT Data Replicator?

In contemporary times, a growing number of organizations are turning to object and cloud storage solutions for managing unstructured data, supplementing their reliance on traditional file systems. This trend has been driven by the advantages these modern storage methods offer, particularly for archival data, leading to a notable transition of files from outdated NAS systems to more advanced cloud storage options. While this migration has resulted in an expanded volume of data being stored in the cloud and through object storage systems, it has also created a significant, yet often ignored, security risk. Many users mistakenly believe that the data they store in cloud environments or on-site object storage is automatically secure, leaving it vulnerable as it often lacks proper backups. Such a belief is dangerous and can lead to serious consequences, as the reliability and redundancy that these storage services provide do not protect against threats such as accidental deletions, ransomware, malware, or technological malfunctions. Consequently, it is essential for organizations to adopt effective backup and replication strategies for their data housed in cloud and object storage, ideally utilizing different storage technologies located in separate environments while maintaining the original data format. This proactive approach not only strengthens data security but also significantly lowers the risks associated with potential data breaches or losses, thus safeguarding the integrity of critical information. Ultimately, by implementing these measures, organizations can ensure a higher level of protection for their valuable data assets in an increasingly digital landscape.

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

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
Mac
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub

Company Facts

Organization Name

PoINT Software & Systems

Date Founded

1994

Company Location

Germany

Company Website

www.point.de/en/products/point-data-replicator/file-and-object-replication-to-s3-cloudobject-storage/

Company Facts

Organization Name

Artie

Company Location

United States

Company Website

www.artie.so/

Categories and Features

Data Replication

Not specified

Categories and Features

Data Replication

Not specified

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