Qlik Replicate and Matillion Data Productivity Cloud compete in the data integration and management category. Qlik Replicate seems to have the upper hand due to its advanced Change Data Capture (CDC) capabilities.
Features: Qlik Replicate stands out with its advanced CDC capabilities enabling real-time processing and stable integration across systems with minimal latency. It supports diverse data sources without impacting the source databases and facilitates automated data management. Matillion shines with its strong integration with cloud services such as AWS, offering an intuitive graphical interface and extensive ETL functions, making data transformation agile with its robust mid-pipeline sampling capabilities.
Room for Improvement: Qlik Replicate could enhance its user-friendliness, improve error messaging, and boost performance during data migrations. There is also a demand for better integration with third-party tools. Matillion users call for more frequent updates, particularly API integrations, and improved support for a wider range of data sources and real-time data streaming. Enhancements in backend efficiency are also sought.
Ease of Deployment and Customer Service: Qlik Replicate excels in hybrid deployment environments, allowing flexibility across both on-premises and cloud settings, yet users report dissatisfaction with its technical support, highlighting slow responsiveness and lack of direct assistance. Matillion is praised for its easy deployment within public cloud infrastructures, although it could improve in handling concurrent workloads. Its support is generally responsive but could be more prompt in addressing customer queries.
Pricing and ROI: Qlik Replicate's pricing model is more suited to larger enterprises with significant upfront costs and core-based licensing. In contrast, Matillion's consumption-based pricing aligns better with cloud environments, providing flexibility and predictable costs, although it isn’t perceived as inexpensive. Both solutions offer ROI through operational efficiency and time savings, with Qlik Replicate notably reducing data storage and processing overheads.
Consequently, we adjusted our processes to use Matillion Data Productivity Cloud only for extraction and ingestion, while Snowflake handled all transformations and jobs.
I conducted a cost comparison with the AWS service provider, and this option is much cheaper than the Kinesis service offered by AWS.
Customers have seen ROI with Qlik Replicate because they get their data for analysis faster, enabling quicker decision-making compared to traditional data sourcing methods.
They communicate effectively and respond quickly to all inquiries.
Even priority tickets, which should be resolved in minutes, can take days.
Support response times could be improved as there are sometimes delays in receiving replies to support cases.
The autoscale process works well, allowing the system to start another node automatically if the first machine reaches 80% capacity.
The system could be scaled to include more sources and functions.
Connections to BigQuery for extracting information are complex.
It is a core-based licensing, which, especially in the banking industry, results in the system capacity being utilized up to a maximum of 60%.
Qlik Replicate could be improved in the next release by incorporating more monitoring options to monitor the logs.
Matillion Data Productivity Cloud offers discounts and special deals, especially when dealing with high-volume clients or fewer existing clients in specific regions, like Spain.
For Qlik Replicate, the setup cost includes the requirement of a server, which represents the hardware cost that must be covered.
Licensing is calculated based on the machine's total capacity rather than actual usage.
Matillion Data Productivity Cloud is effective for ingest functions, particularly when moving information to Snowflake and performing many transformations.
The most valuable feature of Qlik Replicate is their change data capture feature.
Data retrieved from the system can be pushed to multiple places, supporting various divisions such as marketing, loans, and others.
Matillion Data Productivity Cloud features an intuitive graphical interface, seamless AWS integration, and efficient data management. Its tools streamline complex tasks for SFDC, RDS, Marketo, Facebook, and Google AdWords.
Matillion Data Productivity Cloud provides fast transformations with built-in verification, easy scheduling, and sampling. With automatic scalability and diverse data source support, it simplifies complex data tasks. Users benefit from cloud data warehousing and integrating data into Snowflake while appreciating its ease of use by non-technical teams. Enhancements can focus on frequent API adjustments, improved documentation, faster performance with less latency, and better error handling.
What are the key features of Matillion Data Productivity Cloud?
What benefits and ROI should users seek in reviews?
In industries such as technology, finance, and healthcare, Matillion Data Productivity Cloud is implemented to streamline ETL processes, optimize data pipeline construction, and enhance data migration efforts. It supports efficient data loading and integration between cloud and on-premises databases, aiding industries in managing data-driven projects.
Qlik Replicate is a data replication solution for replicating data from one source database to another for business intelligence software. It offers data manipulation and transformations, replication without impacting source databases, and ease of use without needing ETL. The solution is stable and user-friendly, with detailed logging and support.
Qlik Replicate has improved the organization by allowing each team to replicate their data into a single-source data location. The most important feature of Qlik Replicate is its ability to replicate and update records without needing a programmer.
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