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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.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

Advice on Azure Synapse and Talend
karunakaran karthikeyan
Needs advice
on
DremioDremio
and
TalendTalend

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:

  1. Create pipelines to ingest the data from multiple sources into the data lake
  2. Help me in aggregating and filtering data available in the data lake.
  3. 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.

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Replies (1)
Rod Beecham
Partnering Lead at Zetaris · | 3 upvotes · 72K views
Recommends
on
DremioDremio

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.

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Pros of Azure Synapse
Pros of Talend
  • 4
    ETL
  • 3
    Security
  • 2
    Serverless
  • 1
    Doesn't support cross database query
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    Cons of Azure Synapse
    Cons of Talend
    • 1
      Dictionary Size Limitation - CCI
    • 1
      Concurrency
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      What is Azure Synapse?

      It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

      What is Talend?

      It is an open source software integration platform helps you in effortlessly turning data into business insights. It uses native code generation that lets you run your data pipelines seamlessly across all cloud providers and get optimized performance on all platforms.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use Azure Synapse?
      What companies use Talend?
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      What tools integrate with Azure Synapse?
      What tools integrate with Talend?

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      What are some alternatives to Azure Synapse and Talend?
      MySQL
      The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
      PostgreSQL
      PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
      MongoDB
      MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
      Redis
      Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
      Amazon S3
      Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
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