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Microsoft SQL Server VS Apache Doris

Compare Microsoft SQL Server VS Apache Doris and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Microsoft SQL Server logo Microsoft SQL Server

Microsoft Azure is an open, flexible, enterprise-grade cloud computing platform. Move faster, do more, and save money with IaaS + PaaS. Try for FREE.

Apache Doris logo Apache Doris

Apache Doris is an open-source real-time data warehouse for big data analytics.
  • Microsoft SQL Server Landing page
    Landing page //
    2023-01-17
  • Apache Doris Apache Doris
    Apache Doris //
    2024-01-10

Microsoft SQL Server features and specs

  • Performance
    Microsoft SQL Server offers high performance and efficient database management capabilities, optimized for both OLTP (Online Transaction Processing) and OLAP (Online Analytical Processing).
  • Security Features
    SQL Server comes with advanced security features such as encryption, data masking, and advanced threat protection to ensure data integrity and privacy.
  • Scalability
    The server supports horizontal and vertical scaling to accommodate growing amounts of data and increasing number of users.
  • Integration with Microsoft Ecosystem
    Seamless integration with other Microsoft products such as Azure, Power BI, and Visual Studio, making it a versatile choice for businesses already using Microsoft services.
  • Ease of Use
    The server provides a user-friendly interface and helpful tools such as SQL Server Management Studio (SSMS) for database maintenance and management.
  • Comprehensive Support
    Microsoft offers extensive support and documentation, along with a strong community that provides additional resources and insights.

Possible disadvantages of Microsoft SQL Server

  • Cost
    Licensing and operational costs can be high, especially for larger enterprises, making it a significant investment.
  • Complexity
    Initial setup and configuration can be complex, often requiring expert knowledge to deploy and maintain effectively.
  • Resource Intensive
    The server can be resource-heavy, requiring significant hardware and computational resources to run efficiently, especially for larger databases.
  • Limited Cross-Platform Support
    Although improvements have been made, SQL Server is primarily optimized for Windows environments, which can limit its use in cross-platform scenarios.
  • Proprietary Software
    Being a proprietary software solution, it lacks the flexibility and cost benefits that come with open-source alternatives.
  • Updates and Patches
    Frequent updates and patches can sometimes disrupt service, requiring periodic maintenance that could result in downtime.

Apache Doris features and specs

  • High Performance
    Apache Doris is designed to deliver high query performance, especially for aggregate queries, due to its columnar storage and vectorized execution engine.
  • Real-time Analytics
    Supports real-time data analytics with low latency, thanks to its efficient data ingestion processes and real-time data update capabilities.
  • Unified Analytics
    Provides a unified platform that supports both real-time and batch data processing, offering flexibility for different analytical workloads.
  • Ease of Use
    Features a SQL-like interface, which makes it accessible for users familiar with SQL, reducing the learning curve.
  • Scalability
    Can scale out horizontally, allowing it to handle increasing volumes of data and user queries by adding more nodes to the cluster.

Possible disadvantages of Apache Doris

  • Ecosystem Integration
    While improving, the ecosystem isn't as mature as older database management systems, which might pose integration challenges with certain tools.
  • Community Support
    Being a relatively newer project, it may not have as large a community or as extensive third-party support as more established databases.
  • Complexity in Setup
    Initial setup and configuration can be complex, especially for users not already familiar with similar distributed systems.
  • Limited Use Cases
    Optimized specifically for online analytical processing (OLAP), it may not be suitable for all types of databases or transactional use cases.
  • Features Maturity
    Some features may lack the maturity and robustness found in more mature and widely adopted database systems, requiring careful evaluation based on project needs.

Analysis of Microsoft SQL Server

Overall verdict

  • Microsoft SQL Server on Azure is a strong choice for enterprises looking for a reliable, feature-rich database system that can easily integrate with other Microsoft products and services. Its cloud capabilities make it a versatile option, especially for those already within the Microsoft ecosystem.

Why this product is good

  • Microsoft SQL Server, when hosted on Azure, offers robust performance, scalability, and integration with other Microsoft services. It provides features such as automated backups, advanced analytics, high availability, and security options. The Azure platform enhances these capabilities with added flexibility, allowing for easy scaling, managed services, and integration with cloud-native features.

Recommended for

  • Organizations using other Microsoft services and products.
  • Businesses requiring high scalability and performance for their database needs.
  • Companies needing a strong security infrastructure for their data.
  • Developers and IT teams interested in leveraging cloud-native features alongside traditional SQL capabilities.
  • Businesses looking for a fully managed database solution with minimal maintenance.

Microsoft SQL Server videos

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Apache Doris videos

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Category Popularity

0-100% (relative to Microsoft SQL Server and Apache Doris)

Microsoft SQL Server

Apache Doris

Databases
93 93%
Databases
7% 7
NoSQL Databases
100 100%
NoSQL Databases
0% 0
Data Warehousing
0 0%
Data Warehousing
100% 100
Relational Databases
91 91%
Relational Databases
9% 9

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Microsoft SQL Server and Apache Doris

Microsoft SQL Server Reviews

Best SQL Server Development Tools for Developers and DBAs (2026)
Microsoft SQL Server development tools are the baseline for most teams. Theyโ€™re widely used, free to start with, and tightly integrated with SQL Server. Even teams that rely on third-party tools typically keep Microsoftโ€™s tooling at the core of their workflow.
Source: quickref.me
A Comprehensive Guide to SQL Server Data Tools
In this article, you were introduced to Microsoft SQL Server and its promising SQL Server Data Tools. You understood the need for SQL Server Data Tools and its various features. Moreover, you learned the key steps to set up your SQL Server Data Tools. However, there can be some limitations to it such as its narrow focus on SQL Server, less advanced data visualization...
Source: hevodata.com
20 Best SQL Management Tools in 2020
It is a SQL management tool for analysing the differences in Microsoft SQL Server database structures. It allows comparing database objects like tables, columns, indexes, foreign keys, schemas, etc.
Source: www.guru99.com

Apache Doris Reviews

Log analysis: Elasticsearch vs Apache Doris
If you are looking for an efficient log analytic solution, Apache Doris is friendly to anyone equipped with SQL knowledge; if you find friction with the ELK stack, try Apache Doris provides better schema-free support, enables faster data writing and queries, and brings much less storage burden.
Source: doris.apache.org

Social recommendations and mentions

Based on our record, Apache Doris should be more popular than Microsoft SQL Server. It has been mentiond 9 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.

Microsoft SQL Server mentions (6)

  • Deploying Your Angular App to Azure
    Imagine your Angular application, currently confined to your development environment, becoming instantly accessible to users across the globe with Azure. - Source: dev.to / 11 months ago
  • Cloud provider comparison 2024: VM Performance / Price
    Azure is the #2 overall Cloud provider and, as expected, it's the best choice for most Microsoft/Windows-based solutions. That said, it does offer many types of Linux VMs, with quite similar abilities as AWS/GCP. - Source: dev.to / about 2 years ago
  • Amdocs, NVIDIA and Microsoft Azure build custom LLMs for telcos
    Amdocs has partnered with NVIDIA and Microsoft Azure to build custom Large Language Models (LLMs) for the $1.7 trillion global telecoms industry. Source: over 2 years ago
  • Windows Azure: Microsoft's crown jewel
    You can utilise various tools on the platform to significantly improve your IT performance. Due to its flexibility, even official recommendations for Azure might need to be clarified and easier to comprehend. Simply put, Azure (formerly Windows Azure) is Microsoft's cloud computing operating system. Source: about 3 years ago
  • From developer to (solutions) architect. A simple guide.
    This is not to say there aren't architects still working on premise in self managed environments, but if you're planning to join the forces, you probably want to have an idea of who are the 3 public cloud providers (AWS, Azure and GCP), and their offering and topology. - Source: dev.to / about 5 years ago
View more

Apache Doris mentions (9)

  • Apache Doris 4.0: One Engine for Analytics, Full-Text Search, and Vector Search
    The latest version of Apache Doris is now available for download. Visit doris.apache.org for detailed release notes and upgrade guides, and join the Doris community to explore, test, and share your feedback. - Source: dev.to / 10 months ago
  • Doris x Gravitino: Unified Metadata Management for Modern Lakehouse Architecture
    This article provides an in-depth introduction to deep integration between Apache Doris and Apache Gravitino, building a modern lakehouse architecture based on Iceberg REST Catalog. Through Gravitino's unified metadata management and dynamic credential vending capabilities, we achieve efficient and secure access to Iceberg data stored on S3. - Source: dev.to / 11 months ago
  • Gravitino 0.5.0: Expanding the horizon to Apache Spark, non-tabular data, and more!
    Tagging onto our Real-Time Analytics support, we are now also supporting Apache Doris in this release. Doris is a high-performance, real-time analytical data warehouse that is known for its speed and ease of use. By adding a Doris catalog, engineers implementing Gravitino will now have more flexibility in their cataloging options for their analytical workloads. (Issue #1339, visit jdbc-doris-catalog for... - Source: dev.to / about 1 year ago
  • Evolution of Data Sharding Towards Automation and Flexibility
    Like in many databases, Apache Doris shards data into partitions, and then a partition is further divided into buckets. Partitions are typically defined by time or other continuous values. This allows query engines to quickly locate the target data during queries by pruning irrelevant data ranges. - Source: dev.to / about 2 years ago
  • Steps to industry-leading query speed: evolution of the Apache Doris execution engine
    What makes a modern database system? The three key modules are query optimizer, execution engine, and storage engine. Among them, the role of execution engine to the DBMS is like the chef to a restaurant. This article focuses on the execution engine of the Apache Doris data warehouse, explaining the secret to its high performance. - Source: dev.to / about 2 years ago
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What are some alternatives?

When comparing Microsoft SQL Server and Apache Doris, you can also consider the following products

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

ClickHouse - ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real time.

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

StarRocks - StarRocks offers the next generation of real-time SQL engines for enterprise-scale analytics. Learn how we make it easy to deliver real-time analytics.

CouchBase - Document-Oriented NoSQL Database

Apache Hive - Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.

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