Attunity CloudBeam is designed for information-driven organizations that need to streamline big data migration and incremental loading across Amazon Web Services and Microsoft Azure cloud infrastructures.

Features:

  • Acceleration: High-performance data transfer
  • Guaranteed Delivery: Automatic recovery, security, auditing & reporting
  • Automation: Real-time, scheduled, or on-demand tasks execution
  • Zero Foot-Print Architecture: No need to install software on source/target machines
  • Interface: Drag & drop for easy configuration
  • Schema & DDL Replication
  • Transformations: Flexible target database schema mapping and transformations
  • Content-Based Filtering

Benefits:

  • Quick & Easy Setup: Click-to-Load in minutes
  • Acceleration: Best-in-Class transfer speeds & guaranteed delivery
  • Automation: Intuitive administration & scheduling
  • Data Integrity: Assured by way of check-mechanisms
  • Monitoring: For peace-of-mind, control, and audit
  • Security: Industry-standard SSL encryption

Offerings include:

Attunity CloudBeam for Amazon Redshift

What is Attunity CloudBeam for Amazon Redshift?

Attunity CloudBeam for Amazon Redshift enables organizations to simplify and accelerate data loading and incremental changes from a variety of heterogeneous sources to Amazon Redshift. Attunity CloudBeam provides enterprise-grade automation, security, monitoring, and performance optimizations.

Common Use Cases:

  • Initial ingest to Amazon Redshift
  • Incremental data transfer to Amazon Redshift
  • Migrate data from traditional or legacy data warehouses

Learn how Glidewell Laboratories saved thousands of dollars and significantly improved their productivity by moving data to Amazon Redshift with Attunity CloudBeam: View on-demand webinar.

How it’s offered:

 

Replicate Data Flow - Replicate Interface - Replicate Processes

Benefits:

  • End-to-End: Database to Redshift Loading/CDC
  • Affordable: BYOL

 

Learn More:

Attunity CloudBeam for Amazon RDS

What is Attunity CloudBeam for Amazon RDS and Databases on Amazon EC2?

Attunity CloudBeam for Amazon RDS is a software solution which enables organizations to simplify and accelerate the loading of data and incremental changes across a variety of heterogeneous sources, Amazon RDS, and Databases on Amazon EC2.

With Attunity Replicate, one may also manage data replication from sources within Amazon (RDS and Databases on Amazon EC2) to Amazon Redshift, a separate Amazon RDS instance, and/or a variety of heterogeneous targets.

Attunity Replicate provides enterprise-grade automation, security, monitoring, and performance optimizations.

Common Use Cases:

  • Initial Ingest: Heterogeneous sources to Amazon RDS
  • Incremental: Data loading to Amazon RDS
  • Disaster Recovery: Amazon RDS to Amazon RDS (Region-to-Region)
  • Amazon Redshift: Supplying data from RDS to Amazon Redshift

 

How It’s Offered:

  • Software Solution: Available for installation on-prem and/or on Amazon EC2
  • Pricing: Term & Perpetual Licensing options available
  • Supported Sources: Oracle, Microsoft SQL, MySQL, and many others

 

 

Replicate Data Flow - Replicate Interface - Replicate Processes

Benefits:

  • End-to-End: Database to Redshift Loading/CDC
  • Affordable: Term based licensing
Attunity CloudBeam for Amazon S3

What is Attunity CloudBeam for Amazon S3?

Attunity CloudBeam for Amazon S3 simplifies, automates, and accelerates the loading and replication of files from on-premises, heterogeneous sources to Amazon S3.

Common Use Cases:

  • Content Availability and Distribution
  • Data Analysis (EMR Hadoop)
  • Backup, Disaster Recovery, and Archiving

 

How It’s Offered:

 

 

Data Flow - Sample Configuration - Performance Tuning

Benefits:

Attunity CloudBeam for Azure Data and Analytic Services

What is Attunity CloudBeam for Azure Data and Analytic Services?

Attunity CloudBeam for Azure Data and Analytic Services is software that accelerates data replication and migration continuously from a variety of heterogeneous data sources to the Azure SQL Database or to SQL Server databases running on Azure Virtual Machines (VMs).

Common Use Cases:

  • Migration: Migrate data from various databases including Oracle, SQL Server, MySQL, and more
  • Initial Data Replication: Replicate heterogeneous sources to Azure SQL database
  • Incremental Data Replication: Sync data continuously to use up-to-date data in the cloud
  • Disaster Recovery: Migrate databases on Azure VMs (region-to-region) for DR initiatives
  • Data Ingestion: Ingest data into Azure SQL Data Warehouse for BI and analytics projects

 

Attunity CloudBeam is offered:

  • Software Solution: Available for installation on-premise and/or on Azure VM
  • Licenses: Term and perpetual licensing options are available. Please contact us for more information
  • Supported Sources: Oracle, Microsoft SQL, MySQL

Benefits:

  • End-to-End: Database to Azure SQL Data Warehouse loading/CDC
  • Easy-to-Use: Can be setup in minutes
  • Affordable: Term-based licensing
Attunity CloudBeam for Azure SQL Data Warehouse

Migrate your databases and data warehouses to Azure easily and securely. Using Attunity CloudBeam, source databases are fully operational during the migration, so you don’t have to worry about application downtime. You can migrate your data to and from the Azure SQL Data Warehouse or to Azure Data and Analytics Services.

Learn how to Break Free from Oracle with Attunity and Microsoft: View On-Demand Webinar

Attunity CloudBeam for Azure SQL Data Warehouse

Attunity CloudBeam for Azure SQL Data Warehouse enables automated and optimized data loading from many enterprise databases into Microsoft Azure SQL Data Warehouse – quickly, easily, and affordably. It is available in the Microsoft Azure Marketplace.

Data warehousing has long been a critical enabler for business intelligence and growth, used by many enterprises to enable Big Data analytics. The Microsoft Azure SQL Data Warehouse brings to market an innovative cloud-based solution that can reduce the total costs of owning and operating a data warehouse, facilitate growth as data volumes grow, and deliver faster time to value.

While organizations look to capitalize on enhancements, they face the challenge of moving large amounts of information from their on-premises data centers into the Microsoft Azure SQL Data Warehouse. Attunity CloudBeam streamlines this process, leveraging high-performance database replication and high-speed data transfer technologies, and supporting many source databases including Microsoft SQL Server and Oracle. Visit the Azure Marketplace to learn more

Attunity CloudBeam for Azure Data and Analytics Services

Attunity CloudBeam also automates data loading from on-premises transactional or analytics environments to Azure SQL Database or Microsoft SQL Server instances deployed on Azure Virtual Machines. CloudBeam’s “Click-to-Load” design simplifies replication end to end, including both batch loading and incremental replication with Change Data Capture (CDC). Supported source platforms include SQL Server, Oracle, MySQL, Sybase, and Informix. Visit the Azure Marketplace to learn more.

Learn More

Attunity Replicate for Google Cloud

Attunity Transfers Data Continuously to Google Cloud Platform

Moving data to the cloud quickly and easily continues to be an industry-wide challenge. Attunity and Google have collaborated to help customers overcome data transfer hurdles by simplifying the end-to-end data integration process and significantly improving the speed of moving data to the cloud.

About Attunity Replicate

A full-managed data transfer solution, delivered in the form of a software-as-a-service (SaaS) platform, Attunity Replicate offers significant advantages when it comes to loading and synchronizing data to, from, and between cloud storage environments.

Attunity Replicate empowers you with high-performance database replication and high-speed data transfer technologies to migrate data from a wide range of on-premises databases – including Microsoft SQL Server, Oracle, IBM DB2, and Sybase. It is designed for data-driven organizations that want to streamline the migration and incremental loading of data to the cloud.

Attunity Replicate offers automated and optimized data loading from your databases into Google Cloud SQL and Google Cloud Dataproc – quickly, easily, and affordably.

Data-driven managers are becoming more dependent on data to make strategic and day-to-day decisions, and need better access to real-time data. Attunity’s software offers an easy to deploy and flexibly priced platform to address these issues. It integrates with traditional systems and provides a cost-effective method to leverage today’s leading cloud resources. Working together, Google and Attunity make it easy to transfer data to the cloud and get more value from it.

Learn More:

Attunity Compose for Amazon Redshift

Attunity Compose for Amazon Redshift dramatically reduces the time, cost, and risk of cloud analytics projects

Organizations increasingly choose to run analytics on the cloud due to its resource elasticity and cost advantages. For thousands of businesses, Amazon Redshift has become the ideal complement or even alternative to on-premises data warehouses. Although Amazon Redshift is easily deployed and scaled, many organizations struggle with the lengthy and often manual process of managing data warehouses.

Attunity Compose for Amazon Redshift delivers an innovative approach that speeds the process and reduces reliance on developers. Attunity Compose automates the design, deployment, management, and updates of data warehouses. Redshift users can rapidly spin up, scale up, and iterate their data warehouse, dynamically adjusting data sources and models based on changing business requirements.

Attunity Compose for Amazon Redshift delivers:

  • Speed. Build data warehouses and data marts in days or weeks, dramatically faster than traditional ETL tools.
  • Agility. Rapidly incorporate changes to data sources, business rules, or other data model components.
  • Design Automation. Quickly define and deploy data warehouse structures based on proven design architectural approaches such as Vault, Inmon, and Kimball.
  • ETL Automation. Automatically generate 80% or more of the “Extract, Transform and Load” commands, reducing implementation time and resources.
  • Enterprise Quality. Leverage integrated data profiling, quality and lineage capabilities, and automatically generate project documentation.
  • Real-time Data Warehousing. Relay incremental source updates with continuous change data capture technology, enabling real-time analytics on Amazon Redshift.

Additional Resources

Self-Service Resources

 

Pricing and Other Details

 

Support

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