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Azure Synapse vs Talend: What are the differences?
Introduction:
Azure Synapse and Talend are two popular data integration and analytics platforms used by organizations for managing and processing data. While both offer similar functionalities, there are key differences that set them apart. In this article, we will explore these differences in detail and provide a clear comparison between Azure Synapse and Talend.
Data integration capabilities: Azure Synapse is a fully-managed data integration and analytics service provided by Microsoft. It offers seamless integration with various data sources, including SQL data warehouses, big data, and streaming data. Azure Synapse provides powerful data movement and transformation capabilities, allowing users to ETL (Extract, Transform, Load) data from multiple sources into a unified data repository. On the other hand, Talend is an open-source data integration platform that supports a wide range of data integration scenarios. With Talend, users can design and execute complex data integration workflows, including data cleansing, enrichment, and consolidation.
Scalability and performance: Azure Synapse is designed to handle large-scale data processing and analytics workloads. It offers massive scalability, allowing users to scale up or down resources based on demand. Azure Synapse leverages distributed computing technologies to achieve high-performance processing of data. In contrast, Talend's scalability and performance depend on the underlying infrastructure on which it is deployed. While it can handle moderate data volumes efficiently, scaling Talend to handle big data workloads may require additional infrastructure provisioning and configuration.
Native integration with Azure services: Azure Synapse is tightly integrated with various Azure services, such as Azure Data Lake Storage, Azure Active Directory, and Azure Machine Learning. This allows seamless data access and integration with other Azure services, enabling users to leverage the full power of the Azure ecosystem. On the other hand, Talend can integrate with Azure services using connectors and APIs, but it may require additional configuration and setup to achieve seamless integration.
Pricing model: Azure Synapse follows a pay-as-you-go pricing model based on resource usage. Users are billed for the amount of data processed and the resources consumed during data integration and analytics operations. Azure Synapse offers different pricing tiers to accommodate different usage and performance requirements. Talend, on the other hand, offers a subscription-based pricing model, where users pay a fixed fee based on the selected Talend edition. The pricing for Talend includes support and maintenance services, which may be a preferred option for organizations looking for predictable costs.
Ease of use and user interface: Azure Synapse provides a user-friendly interface that simplifies the process of creating and managing data integration workflows. It offers a visual drag-and-drop interface for designing data pipelines and supports SQL-like query languages for data processing. Talend also provides a user-friendly interface with a visual design environment for creating data integration jobs. It supports a wide range of data sources and provides connectors for various systems and databases. However, Talend may require more technical expertise and familiarity with its interface and components compared to Azure Synapse.
Community and support: Azure Synapse benefits from the extensive support and community of Microsoft, which provides regular updates, documentation, and troubleshooting resources. Microsoft offers comprehensive support services for Azure Synapse, including technical support and service level agreements. Talend, being an open-source platform, has its own community and support resources. While Talend's community provides active forums, documentation, and resources, the level of support may depend on the specific edition and support subscription chosen.
In summary, Azure Synapse and Talend are both powerful data integration and analytics platforms, but they differ in terms of their data integration capabilities, scalability and performance, native integration with Azure services, pricing model, ease of use and user interface, and community and support. The choice between Azure Synapse and Talend depends on specific requirements, budget, and the level of integration and support needed within the Azure ecosystem.
I am trying to build a data lake by pulling data from multiple data sources ( custom-built tools, excel files, CSV files, etc) and use the data lake to generate dashboards.
My question is which is the best tool to do the following:
- Create pipelines to ingest the data from multiple sources into the data lake
- Help me in aggregating and filtering data available in the data lake.
- Create new reports by combining different data elements from the data lake.
I need to use only open-source tools for this activity.
I appreciate your valuable inputs and suggestions. Thanks in Advance.
Hi Karunakaran. I obviously have an interest here, as I work for the company, but the problem you are describing is one that Zetaris can solve. Talend is a good ETL product, and Dremio is a good data virtualization product, but the problem you are describing best fits a tool that can combine the five styles of data integration (bulk/batch data movement, data replication/data synchronization, message-oriented movement of data, data virtualization, and stream data integration). I may be wrong, but Zetaris is, to the best of my knowledge, the only product in the world that can do this. Zetaris is not a dashboarding tool - you would need to combine us with Tableau or Qlik or PowerBI (or whatever) - but Zetaris can consolidate data from any source and any location (structured, unstructured, on-prem or in the cloud) in real time to allow clients a consolidated view of whatever they want whenever they want it. Please take a look at www.zetaris.com for more information. I don't want to do a "hard sell", here, so I'll say no more! Warmest regards, Rod Beecham.
Pros of Azure Synapse
- ETL4
- Security3
- Serverless2
- Doesn't support cross database query1
Pros of Talend
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Cons of Azure Synapse
- Dictionary Size Limitation - CCI1
- Concurrency1








