Qlik (formerly Attunity) Replicate - Hourly
QlikTech, Inc. | Qlik Replicate Hourly May 2024 v2024.5.0 with security updatesWindows, Windows Server 2019 Base Windows 2019 - 64-bit Amazon Machine Image (AMI)
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Excellent Product
- Load reduction: Keeping a complete or partial copy of a collection on a different
server reduces the load on the main server.
- Improved service: Accessing a copy of the data can provide better service to
users than having them access the original data.
- Restricted data access: If some users should only have access to a subset of
data, replicating only part of a collection makes it easy to enforce security
restrictions.
Integrity: The target data must reflect the complete result of all changes made to
the source data during the replication process.
Consistency: If a change affects different tables, rows, or files, the copy must
reflect these changes consistently across all affected tables, rows, or files.
Latency: The replication process must aim at keeping latency at a minimum.
Ideally, it should not exceed a few seconds.
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CDC Solution with bonus Simple ETL Feature
Real Time change data Capture
Near real-time replication into Amazon Redshift
Bytecode IO was tasked with implementing an end-to-end data warehousing and analytics solution using Amazon Redshift for community travel site Couchsurfing. With the pressures of an aggressive timeline and a lean budget, loading and replicating real-time changes from Amazon RDS MySQL to Amazon Redshift was challenging and complex. I turned to the AWS Marketplace and found Attunity CloudBeam for Amazon Redshift.
Attunity CloudBeam’s load performance was remarkable and it simplified our ETL solution allowing us to avoid months of development work. We were originally faced with an estimated 3 months of manual development work and CloudBeam cut that down to just three hours. With Attunity CloudBeam, combined with Amazon Redshift and Looker (for BI and analysis), our clients at Couchsurfing can now make better sense of community trends, identify actionable data and expand their active user base.
The slides for our recent webinar are presently up on SlideShare: http://www.slideshare.net/AmazonWebServices/aws-webcast-attunity-couchsurfing
I can recommend Attunity CloudBeam with confidence to our clients.
Charlie Killian
Founder and Solution Architect
Bytecode IO, Inc
http://bytecode.io
Easy Setup, Reliable Performance
We had a business need to develop a continuous flow of data from an internal SQL Server instance to a Redshift cluster. After doing some research and discovering Attunity CloudBeam, it quickly became evident that the cost savings of using Attunity Cloudbeam over developing a custom solution would be substantial. The initial setup was extremely easy, and we were pushing millions of records to our Redshift cluster within an hour of downloading the software. Additionally, the ability to use global transformations in the ETL process has proven to be a huge benefit to our goals.
We would highly recommend Attunity CloudBeam to anyone looking for an easy and reliable solution for loading data to Redshift.
Christopher Porter
Chief Database Architect
NGP VAN
Easy Setup & High performance
Our Company Agile ISS has implemented the poc for Amazon redshift at our client site Universal Music Group. Once the poc got approved we had moved all the massive historical data of 30 TB size into red shift using Attunity cloud beam in Quick time.
The set up is so easy and we are up and running the cloud beam server and could able to move the data from SQL server to redshift all in few hours. The manual effort that would be required to do the same task,the time and cost involoved would be way high when compared to Attunity. we can confidently recommend Attunity CloudBeam to others looking to ease the data load process.
Rajesh Babu
CEO
Agile ISS - Agile intelligence Solutions & Services
661-645-2189
email Raj@AgileiSS.com
Superb Product and Customer Support
Our organization has a specific business requirement to analyze large amounts of data per engagement with a client. Most often, these data sources are formatted in a variety of manners, yet all need to be analyzed in an enterprise warehouse. We choose to use the AWS Redshift environment to manage and analyze, as it best met our needs.
The challenge was how to effectively run an ETL process quickly into an environment which was still in the early phases of being deployed within the organization. We found the AWS AMI – Attunity CloudBeam for Amazon Redshift solution via their YouTube Channel and it was clear this service would meet our needs for rapid ETL. Within less than 2 hours of starting the AWS AMI we loaded a 37M row by 170 column wide data set into Redshift.
As part of the AMI setup process, we needed some assistance from Attunity. Within minutes of contacting the company, we received a phone call back from Attunity Cloud Support offering assistance regarding the matter. The Cloud Support representative resolved the call within 5 minutes and we were up and running 10 minutes later!
Attunity has now become a vital part of our data processing stack. We would highly recommend them based on ease of use, the user environment, the capabilities, and the personalized and professional support they offer for their product.
Douglas Ranahan
Manager, Platform Application Development
Healthcare Transformation Services
Philips Healthcare
Andrew Allaway, MS
Data Scientist
Healthcare Transformation Services
Philips Healthcare
Quick and Reliable
Etix set out to make transactional data available in Amazon Redshift for the purpose of analytics. When attempting to load data from on-prem Oracle to Amazon, we encountered challenges in the way of development work, cost, delays in data availability, and the potential for on-going maintenance.
To solve the data loading challenges, Etix chose Attunity CloudBeam. Within hours, setup was complete and data was on its way. Attunity CloudBeam allowed us to quickly assess the viability of Amazon Redshift and start showing the value to internal stakeholders.
I highly recommend Attunity CloudBeam to others looking to load data to Amazon. Great service as well!