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Oracle Data Warehouse VS Azure Synapse Analytics

Compare Oracle Data Warehouse VS Azure Synapse Analytics and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Oracle Data Warehouse logo Oracle Data Warehouse

Data Warehouse

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.
  • Oracle Data Warehouse Landing page
    Landing page //
    2023-06-24
  • Azure Synapse Analytics Landing page
    Landing page //
    2023-03-23

Oracle Data Warehouse features and specs

  • Scalability
    Oracle Data Warehouse can handle large volumes of data with ease, allowing it to scale according to the growing needs of an organization.
  • Integration
    Offers strong integration capabilities with various Oracle and third-party applications, enhancing its flexibility in diverse IT environments.
  • Performance
    Designed for high performance in data processing and retrieval, utilizing advanced indexing, partitioning, and parallel processing techniques.
  • Security
    Implements comprehensive security features, including data encryption, robust access controls, and auditing, to protect sensitive information.
  • Advanced Analytics
    Provides advanced analytic functions and machine learning capabilities, enabling insightful data analysis and informed decision-making.

Possible disadvantages of Oracle Data Warehouse

  • Cost
    Oracle Data Warehouse solutions can be expensive in terms of initial setup, licensing, and maintenance costs, which may not be suitable for small businesses.
  • Complexity
    The setup and management of Oracle Data Warehouse can be complex, requiring skilled personnel to operate effectively.
  • Resource Intensive
    Oracle Data Warehouse can be resource-intensive, demanding substantial hardware and infrastructure for optimal performance.
  • Vendor Lock-in
    Organizations may face challenges in moving away from Oracle due to the deep integration of its tools and technologies, resulting in vendor lock-in.
  • Upgrade and Maintenance
    Frequent upgrades and maintenance may be needed to stay current and secure, potentially disrupting business operations if not managed properly.

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.

Oracle Data Warehouse videos

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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 Oracle Data Warehouse and Azure Synapse Analytics)
Big Data
100 100%
0% 0
Office & Productivity
0 0%
100% 100
Databases
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 Oracle Data Warehouse and Azure Synapse Analytics

Oracle Data Warehouse Reviews

We have no reviews of Oracle Data Warehouse yet.
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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.

Oracle Data Warehouse mentions (0)

We have not tracked any mentions of Oracle Data Warehouse yet. Tracking of Oracle Data Warehouse recommendations started around Mar 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 / 8 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 Oracle Data Warehouse and Azure Synapse Analytics, you can also consider the following products

SAP BW - SAP BW Tutorial - SAP Business Warehouse (BW) integrates data from different sources, transforms and consolidates the data, does data cleansing, and storing of data as well. It a

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.

IBM Netezza - Netezza is a powerful platform that changed the world of data warehousing by introducing one of the world’ first data warehouse appliances.

Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

Oracle Exadata - See how the Oracle Database Exadata Cloud is engineered to be the highest performing and most available platform for running the Oracle Database.

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