Software Alternatives, Accelerators & Startups

Salesforce Platform VS Azure Synapse Analytics

Compare Salesforce Platform VS Azure Synapse Analytics and see what are their differences

Salesforce Platform logo Salesforce Platform

Salesforce Platform is a comprehensive PaaS solution that paves the way for the developers to test, build, and mitigate the issues in the cloud application before the final deployment.

Azure Synapse Analytics logo Azure Synapse Analytics

Get started with Azure SQL Data Warehouse for an enterprise-class SQL Server experience. Cloud data warehouses offer flexibility, scalability, and big data insights.
  • Salesforce Platform Landing page
    Landing page //
    2023-06-05
  • Azure Synapse Analytics Landing page
    Landing page //
    2023-03-23

Salesforce Platform features and specs

  • Customization
    Salesforce Platform offers extensive customization options that allow businesses to tailor the platform to suit their specific needs. From custom objects and fields to custom workflows and processes, users have a high level of control over their environment.
  • Integration
    The platform supports integration with a wide range of third-party applications and services through APIs. This flexibility ensures that businesses can create a seamless workflow across different software systems.
  • Scalability
    Salesforce Platform is highly scalable, making it suitable for businesses of all sizes. As a cloud-based solution, it can easily handle growth in terms of users, data volume, and functionality without significant downtime or degradation in performance.
  • Mobile Accessibility
    With Salesforce Mobile App, users have access to their data and applications from anywhere, enhancing productivity and ensuring that critical tasks can be completed while on the go.
  • Security
    Salesforce Platform offers robust security features, including data encryption, regular security updates, and compliance with various industry standards and regulations, providing peace of mind for businesses concerned about data protection.
  • Community and Support
    Salesforce has a vast community of users, developers, and experts, along with extensive documentation and support resources. This community can be invaluable for troubleshooting, best practices, and ongoing learning.

Possible disadvantages of Salesforce Platform

  • Cost
    Salesforce Platform can be expensive, particularly for small and medium-sized businesses. The costs can quickly add up with additional features, customizations, and third-party integrations.
  • Complexity
    While the customization options are a significant benefit, they can also add complexity, especially for users without technical expertise. This can lead to a steep learning curve and may require additional training or hiring specialized personnel.
  • Performance
    While generally reliable, the platform can experience performance issues, particularly during peak usage times or with complex customizations. This can potentially affect the efficiency and response times for users.
  • Dependency on Internet
    As a cloud-based solution, Salesforce Platform requires a stable internet connection to be fully functional. This dependency can be a drawback in areas with unreliable internet service.
  • Customization Limits
    Despite its flexibility, there are still limits to what can be customized within Salesforce. In some cases, achieving certain functionalities may require complex workarounds or may not be possible at all within the provided framework.
  • Data Migration
    Migrating data to and from Salesforce can be challenging, particularly for large datasets or complex data structures. This process often requires careful planning and execution to avoid data loss or integrity issues.

Azure Synapse Analytics features and specs

  • Integration
    Azure Synapse Analytics integrates with other Azure services like Azure Data Lake Storage, Power BI, and Azure Machine Learning, enabling seamless data movement and business intelligence processes.
  • Scalability
    It allows on-demand scalability, both horizontally and vertically, providing the flexibility to handle workloads of any size efficiently.
  • Unified Experience
    Offers a unified interface for data ingestion, preparation, management, and serving, simplifying data operations and reducing the need for multiple tools.
  • Advanced Security
    Includes robust security features like encryption, network protection, and advanced threat protection to ensure data security and compliance.
  • Serverless and Dedicated Options
    Provides both serverless and dedicated resource models, allowing businesses to optimize their costs by selecting the appropriate compute resources for their needs.

Possible disadvantages of Azure Synapse Analytics

  • Complexity
    The comprehensive range of features and tools can lead to a steep learning curve and complexity in setup and management for new users.
  • Cost Management
    Although flexibility is offered, managing and predicting costs can be challenging, especially in serverless scenarios where usage might fluctuate.
  • Resource Limitations
    Despite its scalability, there might be certain limitations in terms of data size or query complexity compared to some on-premises solutions.
  • Dependency on Internet Connectivity
    As a cloud-based solution, it requires stable and reliable internet connectivity, which may not be available in all regions or circumstances.
  • Integration Learning Curve
    While integration is a strength, mastering the integration with various Azure services and third-party tools can require substantial time and effort.

Salesforce Platform videos

Salesforce Platform Overview (1)

Azure Synapse Analytics videos

Azure Synapse Analytics - Next-gen Azure SQL Data Warehouse

More videos:

  • Review - Is Azure SQL Data Warehouse the Right SQL Platform for You?

Category Popularity

0-100% (relative to Salesforce Platform and Azure Synapse Analytics)
Cloud Computing
100 100%
0% 0
Office & Productivity
0 0%
100% 100
Cloud Hosting
100 100%
0% 0
Development
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Salesforce Platform and Azure Synapse Analytics

Salesforce Platform Reviews

3 easy app makers you can start on today
Salesforce Platform: If you use the popular customer relationship management system, Salesforce’s low-code tools allow you to build custom apps that can include AI and connect with the company’s various cloud services.

Azure Synapse Analytics Reviews

Data Warehouse Tools
Azure Synapse Analytics (formerly Azure Data Warehouse) is a cloud-native data warehouse integrated with other Azure services. It unifies data warehousing and big data analytics for comprehensive insights, offering visually interactive tools for user-friendly data exploration.
Source: peliqan.io
Top 6 Cloud Data Warehouses in 2023
Azure Synapse analytics is scalable for large data tables based on its distributed computing. It relies on the MPP (mentioned in the beginning, revisit if you did not grasp it) to quickly run high volumes of complex queries across multiple nodes. With Synapse, there’s an extra emphasis on security and privacy.
Source: geekflare.com
Top 5 BigQuery Alternatives: A Challenge of Complexity
Azure SQL Data Warehouse, now subsumed by Azure Synapse Analytics, brings together the worlds of big data analytics and enterprise data warehousing. Over the years, Azure has made a name for enabling the seamless transfer of data between on-premise and cloud ecosystems.
Source: blog.panoply.io

Social recommendations and mentions

Based on our record, Azure Synapse Analytics seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Salesforce Platform mentions (0)

We have not tracked any mentions of Salesforce Platform yet. Tracking of Salesforce Platform recommendations started around Sep 2021.

Azure Synapse Analytics mentions (4)

  • DbVisualizer 24.2: A Complete Review
    Azure Synapse Analytics: DbVisualizer now has extended support for dedicated and serverless SQL pools in Azure Synapse Analytics. That includes support for database-scoped credentials, external file formats and data sources, and external tables. For more information, see the Azure Synapse Dedicated and Azure Synapse Serverless pages on the official site. - Source: dev.to / 9 months ago
  • Deploying a Data Warehouse with Pulumi and Amazon Redshift
    A data warehouse is a specialized database that's purpose built for gathering and analyzing data. Unlike general-purpose databases like MySQL or PostgreSQL, which are designed to meet the real-time performance and transactional needs of applications, a data warehouse is designed to collect and process the data produced by those applications, collectively and over time, to help you gain insight from it. Examples of... - Source: dev.to / over 2 years ago
  • [WSJ] Facebook Parent Meta Expected to Post Slowest Revenue Growth Since IPO
    You don't run into these kinds of problems with other tools, like the ones I mentioned. I've never tried the Azure ones, but my gut says they may have some scaling issues (synapse analytics looks promising but I have no experience with it). Source: about 3 years ago
  • The Difference Between Data Warehouses, Data Lakes, and Data Lakehouses.
    Popular managed cloud data warehouse solutions include Azure Synapse Analytics, Azure SQL Database, and Amazon Redshift. - Source: dev.to / about 3 years ago

What are some alternatives?

When comparing Salesforce Platform and Azure Synapse Analytics, you can also consider the following products

Google App Engine - A powerful platform to build web and mobile apps that scale automatically.

Saturn Cloud - ML in the cloud. Loved by Data Scientists, Control for IT. Advance your business's ML capabilities through the entire experiment tracking lifecycle. Available on multiple clouds: AWS, Azure, GCP, and OCI.

Dokku - Docker powered mini-Heroku in around 100 lines of Bash

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Google Cloud Functions - A serverless platform for building event-based microservices.

Databricks Unified Analytics Platform - One platform for accelerating data-driven innovation across data engineering, data science & business analytics