Azure Synapse Analytics vs DBSync

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Our analysts compared Azure Synapse Analytics vs DBSync based on data from our 400+ point analysis of Big Data Analytics Tools, user reviews and our own crowdsourced data from our free software selection platform.

Azure Synapse Analytics Software Tool
DBSync Software Tool

Product Basics

Microsoft Azure Synapse Analytics is a comprehensive cloud-based analytics service designed to empower organizations with robust data warehousing and data analytics capabilities. It seamlessly integrates data warehousing and big data analytics, enabling users to ingest, prepare, manage, and serve data for immediate business insights. Key features include scalable resources, real-time analytics, machine learning integration, and a collaborative workspace for data professionals. Azure Synapse Analytics offers benefits such as improved scalability, enhanced data security, and simplified data integration. It's particularly valuable for organizations looking to harness the power of data to make informed decisions and gain a competitive edge in today's data-driven landscape.
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DBSync is an integration Platform-as-a-Service (iPaaS) that provides bi-directional data synchronization, migration and replication to enterprises. It enables businesses to connect to any combination of SaaS, cloud and on-premise applications and databases. It empowers companies to build warehouses for reporting and data mining. Its powerful integration engine offers scheduling, logging and transformation to streamline data management.

Easily accessible from any device, it can be deployed in the cloud, on-premises or as a hybrid. In addition to its free Standard version, the vendor also offers paid pricing plans.
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$1.25/Hour, Usage-Based
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$480 Annually, Freemium
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Tailored to your specific needs
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Product Insights

  • Scalability: Azure Synapse Analytics offers scalable data warehousing, allowing organizations to easily adjust resources to meet their specific needs. This scalability ensures optimal performance and cost-efficiency.
  • Unified Analytics: With Azure Synapse Analytics, users can seamlessly integrate data analytics and data warehousing. This unified approach simplifies data management, analytics, and reporting, leading to faster insights and smarter decision-making.
  • Advanced Security: Security is a top priority in Azure Synapse Analytics. It provides robust security features, including data encryption, authentication, and role-based access control, ensuring that sensitive data remains protected.
  • Data Integration: This platform offers powerful data integration capabilities, allowing users to easily ingest, transform, and load data from various sources. It supports a wide range of data formats and connectors, facilitating seamless data integration workflows.
  • Optimized Performance: Azure Synapse Analytics leverages intelligent caching and query optimization to deliver exceptional query performance. Users can run complex queries on large datasets quickly and efficiently.
  • Real-time Analytics: Organizations can harness real-time data analytics with Azure Synapse Analytics. It supports streaming data, enabling businesses to gain insights from live data streams and make timely decisions.
  • Cost Management: With cost controls and optimization features, Azure Synapse Analytics helps organizations manage their data warehouse expenses effectively. Users can pause and resume resources as needed to control costs.
  • Integration with Azure Ecosystem: Azure Synapse Analytics seamlessly integrates with other Azure services, such as Azure Data Lake Storage and Azure Machine Learning. This integration enables organizations to build end-to-end data solutions within the Azure ecosystem.
  • AI and Machine Learning: Leveraging Azure's AI and machine learning capabilities, Synapse Analytics allows users to build and deploy advanced analytics models, unlocking valuable insights from their data.
  • Global Reach: Azure Synapse Analytics is available in multiple Azure regions worldwide, providing global accessibility and low-latency data processing for organizations with international operations.
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  • Data Backups: Automate daily data backups including metadata schema, layouts and more. Restore data from any point in time and receive email notifications for backup and restore events. 
  • Data Replication: Create tailored datasets for business intelligence and reporting. Ingest, replicate, synchronize and consolidate data from popular databases like SQL Server, MySQL, PostGresSQL, Oracle, IBM Db2. 
  • Web-Based: Web and mobile responsive for on-the-go access to business data. 
  • Data Security and Compliance: Secure data at rest through 256-bit AES encryption. Complies with FINRA, SOX, CCAP, GDPR and HIPAA regulations. 
  • Integrations: Run integrations with accounting systems, CRMs and databases on AWS, proprietary infrastructure or any cloud provider. Its integration engine provides scheduling, logging, transformation, rule execution and more. 
  • Free Trial: Try it hands-on with a 14-day free trial. 
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  • Data Warehousing: Azure Synapse Analytics offers a robust data warehousing solution, allowing organizations to store and manage large volumes of structured and unstructured data efficiently.
  • Analytics Workspace: It provides an integrated analytics workspace for data engineers, data scientists, and analysts to collaborate, explore data, and build advanced analytics models.
  • On-Demand Query Processing: Users can run on-demand queries to extract insights from their data in real-time, without the need for predefined structures or complex ETL processes.
  • Data Integration: Synapse Analytics supports data integration from a variety of sources, enabling users to ingest, transform, and load data with ease.
  • Auto-scaling: The platform offers auto-scaling capabilities, automatically adjusting resources to handle varying workloads, ensuring optimal performance and cost-effectiveness.
  • Security and Compliance: Azure Synapse Analytics includes robust security features, such as encryption, authentication, and access control, to protect sensitive data and maintain compliance with industry regulations.
  • Intelligent Caching: It employs intelligent caching to speed up query performance, reducing latency and enhancing overall data processing efficiency.
  • Real-time Analytics: Users can analyze streaming data in real-time, enabling timely insights and the ability to respond to changing conditions swiftly.
  • Machine Learning Integration: Synapse Analytics seamlessly integrates with Azure Machine Learning, allowing organizations to build, train, and deploy machine learning models for advanced predictive analytics.
  • Collaborative Workspace: It provides a collaborative workspace for teams to collaborate on data projects, facilitating efficient data exploration and analysis.
  • Serverless SQL Pools: Azure Synapse Analytics offers serverless SQL pools, enabling users to query data stored in data lakes without the need for provisioning dedicated resources.
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  • Salesforce Integration: Automate daily backups of business-critical data, attachments, files and metadata. Its SaaS Backup is a data backup and recovery solution for Salesforce. Track daily data backup changes and view metrics on user activity and data growth through reports and dashboards. 
  • Deployment: Supports Windows, Linux, Mac and Solaris operating systems. Can be run in the cloud, on-premises or as a hybrid solution. 
  • Supported Endpoints: Supports MongoDB, Cassandra and Snowflake, besides popular databases, and enables Azure database management via SQLServer. Its APIs are documented in Swagger standard JSON format. 
  • Schemas: Automatically update any changes in the server’s database on the client-side whenever users sync their devices. 
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Product Ranking

#40

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Big Data Analytics Tools

#60

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Big Data Analytics Tools

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Analyst Rating Summary

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Analyst Ratings for Functional Requirements Customize This Data Customize This Data

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Synopsis of User Ratings and Reviews

Scalability: Azure Synapse Analytics is praised for its ability to seamlessly scale resources to handle growing data volumes and complex workloads.
Integration: Users appreciate the tight integration with other Azure services, making it easy to build end-to-end data solutions within the Azure ecosystem.
Real-time Insights: The platform's support for real-time data analytics enables users to gain timely insights from streaming data sources, improving decision-making.
Data Security: Azure Synapse Analytics is lauded for its robust security features, including encryption and access controls, ensuring data privacy and compliance.
Data Integration: Users find it user-friendly for integrating data from various sources, simplifying data preparation and analysis.
Performance Optimization: The platform's query optimization and caching mechanisms enhance query performance, even with complex analytical workloads.
Collaboration: Its collaborative workspace fosters teamwork among data professionals, improving productivity and knowledge sharing.
Machine Learning Capabilities: Users appreciate the integration with Azure Machine Learning, allowing them to leverage AI and machine learning for advanced analytics.
Cost Management: Azure Synapse Analytics offers cost-control features that help users manage their data analytics expenses effectively, ensuring cost-efficiency.
Global Reach: Its availability in multiple Azure regions ensures global accessibility and low-latency data processing for organizations with international operations.
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Seamless Integration: DBSync excels in connecting diverse data sources, simplifying how information flows between different systems.
Enhanced Productivity: By automating workflows, DBSync eliminates manual data handling, freeing up valuable time and resources.
Flexibility: DBSync's adaptable platform empowers businesses to tailor data integration processes to their specific requirements.
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Cost Complexity: Some users find managing costs in Azure Synapse Analytics complex, as resource scaling and query optimization may require careful monitoring to avoid unexpected expenses.
Learning Curve: There's a learning curve associated with the platform, especially for users new to Azure services, which can slow down initial adoption and implementation.
Data Volume Challenges: Handling extremely large data volumes can be challenging and may require additional resources, impacting overall cost-effectiveness.
Integration Complexity: While Azure Synapse Analytics integrates well with Azure services, some users have reported challenges when integrating with external systems, which may require custom solutions.
Resource Scaling Time: Scaling resources up or down can take time, affecting immediate query performance during resource adjustments.
Storage Costs: Users have noted that storing data in Azure Data Lake Storage, a common practice, can add to overall costs that need to be carefully managed.
Complex Queries: Executing complex queries may lead to longer processing times and higher resource consumption, impacting query performance and costs.
Resource Provisioning: Some users have experienced challenges when provisioning resources, requiring careful planning and allocation.
Offline Work Limitations: Certain features may require an active internet connection, limiting offline work capabilities, which could be a drawback in specific scenarios.
Support: A few users have reported concerns about the level of support provided, particularly for resolving complex technical issues.
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Setup Complexity: The initial setup process can be intricate, potentially requiring users to have some level of technical proficiency to successfully navigate and configure the software.
Customer Support Concerns: While some users report positive experiences, others have expressed concerns regarding the timeliness and effectiveness of customer support responses, which could potentially lead to delays in resolving issues.
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User reviews for Microsoft Azure Synapse Analytics generally highlight its strengths in scalability, integration, and real-time analytics. Many users appreciate its ability to seamlessly scale resources and integrate with other Azure services, simplifying end-to-end data solutions. The support for real-time data analytics also receives positive feedback for enabling timely decision-making. However, some users note challenges associated with cost management, citing complexity in monitoring and controlling expenses. There's a learning curve for newcomers, which can slow down initial implementation. Handling large data volumes and complex queries may require extra resources and careful optimization. Integration with external systems can be complex, and resource scaling may impact query performance temporarily. In comparison to similar products, users find Azure Synapse Analytics competitive due to its tight integration within the Azure ecosystem and its machine learning capabilities. Despite some limitations, it is viewed favorably for its potential to deliver scalable, real-time insights and drive data-driven decision-making within organizations.

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Can DBSync help your business get in sync with the modern demands of data integration? User reviews from the last year suggest that DBSync is a robust data integration solution that excels at simplifying complex data workflows. Users rave about its seamless integration capabilities, highlighting its ability to connect diverse data sources like Salesforce and QuickBooks, which are essential for businesses aiming to streamline operations. This echoes the experiences of users like Emily N., who found that DBSync "enables efficient data synchronization and automation of workflows," improving productivity by reducing manual data entry errors. However, while generally praised for its user-friendliness, some users have reported a steep learning curve during the initial setup, particularly those less familiar with data integration tools. This suggests that while DBSync offers a powerful solution, some technical expertise might be needed to unlock its full potential. Additionally, customer support experiences have been somewhat polarized, with some users praising the responsiveness and helpfulness of the support team, while others have experienced delays. Overall, DBSync emerges as a powerful data integration tool best suited for businesses, particularly small to medium-sized enterprises, looking to automate their data management processes. Its ability to seamlessly connect various applications, automate workflows, and simplify data synchronization makes it a valuable asset for companies seeking to enhance operational efficiency and reduce manual effort.

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