SQL Server Integration Services vs Qlik Replicate

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Our analysts compared SQL Server Integration Services vs Qlik Replicate based on data from our 400+ point analysis of ETL Tools, user reviews and our own crowdsourced data from our free software selection platform.

Product Basics

SQL Server Integration Services (SSIS) is a data integration tool built within Microsoft SQL Server. It excels at orchestrating data movement and transformation tasks between diverse sources and destinations, making it ideal for data warehousing, ETL (Extract, Transform, Load) processes, and database management in Windows environments. Users praise its visual workflow editor, robust data transformation capabilities, and seamless integration with other Microsoft tools. Additionally, SSIS offers built-in security features and scalability for handling large datasets. However, its reliance on the Microsoft ecosystem, limited open-source compatibility, and potentially complex learning curve can be drawbacks. Pricing is part of the SQL Server license, ranging from affordable Express editions to more expensive Enterprise versions depending on user needs and server configurations. Overall, SSIS is a powerful and cost-effective option for organizations heavily invested in the Microsoft suite and primarily focused on Windows server environments. For those seeking open-source flexibility or broader platform compatibility, alternative data integration tools may be worth exploring.

Pros:
  • Visual workflow
  • Strong data transformations
  • Microsoft integration
  • Built-in security
  • Scalable for large volumes
Cons:
  • Windows only
  • Limited open source
  • Steep learning curve
  • Pricing with SQL Server
  • Closed-source ecosystem
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Qlik Replicate is a data replication solution that enables real-time data integration between various data sources and target systems. It's ideal for organizations seeking to consolidate data from disparate sources, ensuring data consistency and availability for analytics and reporting purposes.

Key benefits include: real-time data replication, ensuring data accuracy and eliminating data latency; support for a wide range of data sources and target systems, providing flexibility in data integration; and robust data transformation capabilities, allowing for data cleansing, filtering, and enrichment before replication.

Qlik Replicate stands out with its user-friendly interface, intuitive drag-and-drop functionality, and comprehensive data monitoring and management tools. It offers flexible pricing options based on the number of data sources and target systems, making it cost-effective for organizations of all sizes.

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Product Insights

  • Maximize ROI: Performs complex transformations without needing a staging area. Persists data temporarily to a native raw format file using the file system. 
  • Connect to Data Sources: Draws data from Microsoft SQL Server, IBM DB2, Oracle, HP Vertica, MySQL, MongoDB and OData. Pull data from repositories that can’t be sourced directly like FTP, HTTP, MSMQ, Analysis Services and Server Management Objects (SMO). 
  • Integrate with SAP Products: Natively accesses the application model and relevant metadata in SAP Business Suite offerings. Reads data based on programming languages such as ABAP, IDocs, BAPI, RFC and SAP extractors. 
  • Extend As Needed: Write code to define connection objects, log providers, transforms and tasks. 
  • Maintain Data Quality: Handles data from heterogeneous data sources within the same package. Monitor errors through a variety of logging and auditing options. 
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  • Accelerated Data Delivery: Qlik Replicate's high-speed data replication engine ensures near-real-time data delivery, minimizing latency and enabling faster decision-making.
  • Enhanced Data Integrity: The solution's robust data validation and error handling capabilities guarantee data accuracy and consistency, ensuring reliable insights.
  • Simplified Data Management: Qlik Replicate's intuitive interface and automated processes streamline data replication tasks, reducing operational complexity and freeing up IT resources.
  • Improved Data Security: Advanced encryption and access controls protect sensitive data throughout the replication process, ensuring compliance and mitigating security risks.
  • Scalable and Flexible: Qlik Replicate's scalable architecture supports growing data volumes and diverse data sources, providing flexibility to meet evolving business needs.
  • Reduced Downtime: The solution's continuous replication and failover capabilities minimize downtime during system maintenance or outages, ensuring uninterrupted data availability.
  • Cost Optimization: Qlik Replicate's efficient data replication processes reduce storage and bandwidth requirements, optimizing infrastructure costs and improving ROI.
  • Improved Data Governance: Centralized data management and lineage tracking capabilities enhance data governance practices, ensuring data quality and compliance.
  • Enhanced Analytics and Reporting: Near-real-time data availability empowers businesses with up-to-date insights, enabling more accurate and timely decision-making.
  • Increased Business Agility: Qlik Replicate's rapid data delivery and simplified management empower businesses to respond quickly to changing market conditions and customer demands.
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  • Big Data Support: Connects to new, in-demand big data sources like databases, systems, files and unstructured content. Access mainframe sources and captured data changes in real time. Expand cloud support for big data with Microsoft Azure, Impala, Cassandra, OData and Apache Hive.
  • Import/Export Wizard: Move data from a variety of source types to disparate destination types, including text files and other SQL Server instances. Create packages that move data across systems seamlessly, without transformations. 
  • Build Integration Packages: Create and maintain integration packages through the SSIS Designer. Deploy the package and view the execution status at run time. Add functionality to packages through dialog boxes and windows. Configure the development environment through SQL Server Data Tools (SSDT). 
  • Built-in Data Transformations: Provides aggregation, pivot, unpivot, cache transform, fuzzy lookup, data conversion, data mining query and partition processing. Leverage a wide range of transform capabilities like fuzzy logic, data profiling, data and text mining and direct insert to SSAS. 
  • Secure Business Data: Provides threat and vulnerability mitigation, and access control. Sign packages with digital certificates that ensure customers open and run packages only from trusted sources. 
  • Precedence Constraints: Control task runs by defining precedence constraints. Connect tasks to control the workflow and configure to work based on an SSIS expression or the status of the preceding job. 
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  • Real-time data replication: Replicate data changes as they occur, ensuring that your target systems are always up-to-date.
  • High availability and disaster recovery: Protect your data from downtime and data loss with automatic failover and recovery mechanisms.
  • Flexible data transformation: Easily transform and cleanse data during replication to meet the specific requirements of your target systems.
  • Scalable architecture: Handle large volumes of data and support multiple concurrent replication tasks with ease.
  • Comprehensive data security: Protect sensitive data during replication with encryption, authentication, and authorization mechanisms.
  • Intuitive user interface: Manage and monitor replication tasks effortlessly through a user-friendly web-based interface.
  • Extensive connectivity options: Connect to a wide range of source and target databases, including relational, NoSQL, and cloud-based systems.
  • Change data capture (CDC): Capture only the changes made to your source data, reducing replication overhead and improving performance.
  • Data lineage tracking: Track the flow of data from source to target, ensuring data integrity and compliance.
  • Support for complex data types: Replicate complex data types, such as JSON, XML, and LOBs, without data loss or corruption.
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Product Ranking

#8

among all
ETL Tools

#27

among all
ETL Tools

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Analyst Rating Summary

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Analyst Ratings for Functional Requirements Customize This Data Customize This Data

SQL Server Integration Services
Qlik Replicate
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Data Delivery Data Quality Data Sources And Targets Connectivity Data Transformation Metadata Management Platform Capabilities Workflow Management 88 100 76 100 93 0 91 0 25 50 75 100
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User Sentiment Summary

Great User Sentiment 503 reviews
Excellent User Sentiment 2 reviews
84%
of users recommend this product

SQL Server Integration Services has a 'great' User Satisfaction Rating of 84% when considering 503 user reviews from 2 recognized software review sites.

100%
of users recommend this product

Qlik Replicate has a 'excellent' User Satisfaction Rating of 100% when considering 2 user reviews from 1 recognized software review sites.

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5.0 (2)
4.3 (279)
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4.1 (224)
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Awards

SelectHub research analysts have evaluated SQL Server Integration Services and concluded it earns best-in-class honors for Data Transformation.

Data Transformation Award

Qlik Replicate stands above the rest by achieving an ‘Excellent’ rating as a User Favorite.

User Favorite Award

Synopsis of User Ratings and Reviews

Visual Workflow: Drag-and-drop interface simplifies complex data flows, making integration tasks intuitive and manageable, even for users without extensive coding experience.
Robust Data Transformations: Cleanses, transforms, and validates data to ensure accuracy and consistency before integration, improving data quality and trust in downstream analytics.
Microsoft Integration: Seamlessly integrates with other Microsoft tools and platforms like SQL Server and Azure, streamlining data workflows within existing infrastructure and reducing the need for additional software.
Scalability and Performance: Handles large datasets efficiently with parallel processing and optimization techniques, minimizing processing time and ensuring smooth data integration for growing data volumes.
Built-in Security: Supports encryption, data masking, and role-based access controls for secure data handling and compliance with industry regulations, providing peace of mind and reducing security risks.
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Real-time Data Replication: Qlik Replicate enables near-instantaneous data replication, ensuring that your data is always up-to-date and accessible for critical business processes.
High Availability and Disaster Recovery: Qlik Replicate provides robust data protection by replicating data to multiple locations, ensuring business continuity in the event of hardware failures or natural disasters.
Scalability and Performance: Qlik Replicate is designed to handle large data volumes and high transaction rates, ensuring optimal performance even in demanding environments.
Flexible Data Transformation: Qlik Replicate offers powerful data transformation capabilities, allowing you to cleanse, filter, and enrich data before replication, ensuring data quality and consistency.
Simplified Management: Qlik Replicate's intuitive user interface and centralized management console make it easy to configure, monitor, and manage replication tasks, reducing administrative overhead.
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Limited Open Source: Relies heavily on Microsoft technologies and lacks extensive open-source integrations, potentially restricting customization and community support compared to more open platforms.
Steep Learning Curve: While the visual interface is helpful, mastering complex data flows and transformations can require significant training and experience, especially for users unfamiliar with the platform.
Windows Only: Limited to Windows environments, excluding non-Microsoft operating systems like Linux or macOS, hindering platform flexibility and potentially requiring additional infrastructure investment.
Closed-Source Ecosystem: Limited transparency into internal algorithms and processes can make troubleshooting and debugging complex issues challenging, requiring specialized knowledge or relying on Microsoft support.
Cost Tied to SQL Server: Pricing depends on the chosen SQL Server edition, potentially increasing costs for organizations already invested in other database solutions or needing only basic data integration functionalities.
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Limited Data Source Support: Qlik Replicate may not support all the data sources that you need to replicate, which can limit its usefulness in certain scenarios.
Complex Configuration: Setting up and configuring Qlik Replicate can be complex, especially for users who are not familiar with data replication technologies.
Performance Issues: Some users have reported performance issues with Qlik Replicate, particularly when replicating large volumes of data.
Limited Error Handling: Qlik Replicate may not handle errors gracefully, which can lead to data loss or corruption.
Lack of Real-Time Replication: Qlik Replicate does not offer real-time replication, which can be a limitation for applications that require up-to-date data.
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User reviews of SQL Server Integration Services paint a contrasting picture. Proponents praise its intuitive visual workflow, robust data transformation capabilities, and seamless integration with the Microsoft ecosystem. This makes it ideal for organizations already invested in Microsoft tools and requiring efficient data movement within Windows environments. The built-in security features and scalability for handling large datasets are further pluses, offering peace of mind and ensuring smooth performance for growing data volumes. However, critics point to its heavy reliance on Microsoft technologies and limited open-source compatibility as major drawbacks. This can restrict customization and community support compared to more open platforms like Talend or Apache Airflow. The steep learning curve and Windows-only limitation can also be hurdles, requiring dedicated training and potentially hindering platform flexibility. Additionally, the closed-source nature can make troubleshooting complex issues challenging. Finally, pricing tied to SQL Server editions may not be cost-effective for organizations needing only basic data integration functionalities or using other database solutions. Ultimately, SQL Server Integration Services shines for its robust data handling, intuitiveness, and Microsoft integration within Windows environments. However, its limited open-source compatibility, steep learning curve, and reliance on SQL Server licensing make it less ideal for organizations seeking greater flexibility, affordability, or platform independence. Carefully weighing your specific needs and resources against its strengths and limitations is crucial before choosing SSIS for your data integration needs.

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Qlik Replicate is a data replication solution that has received positive user reviews in the past year. Users appreciate its ease of use, reliability, and scalability. They also find it to be a cost-effective solution compared to similar products. One of the key strengths of Qlik Replicate is its ability to replicate data in real-time, which is essential for businesses that need to make decisions based on the most up-to-date information. Additionally, Qlik Replicate offers a variety of features that make it easy to manage and monitor replication tasks, such as a graphical user interface and a command-line interface. While Qlik Replicate is a powerful data replication solution, it does have some weaknesses. Some users have reported that it can be difficult to configure and that it can be slow to replicate large amounts of data. Additionally, Qlik Replicate does not offer some of the features that are available in more expensive data replication solutions, such as support for multiple data sources and the ability to replicate data over long distances. However, for businesses that need a reliable and cost-effective data replication solution, Qlik Replicate is a good option. Overall, Qlik Replicate is a good choice for businesses that need to replicate data in real-time. It is easy to use, reliable, and scalable. Additionally, it is a cost-effective solution compared to similar products. However, businesses that need to replicate large amounts of data or that need support for multiple data sources may want to consider a more expensive data replication solution.

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