Top Microsoft SQL Server Alternatives and Competitors
Looking to upgrade or change your solution? Take away the guesswork and stay informed with end user feedback to identify and select the solution that best matches your needs.
Apply intelligence across all your data with SQL Server 2019. Whether your data is structured or unstructured, query and analyze it using the data platform with industry-leading performance and security.
Common Features
Analytics and Reporting | Data Virtualization | Big Data Analytics | Data Management | Operations Management | Data Protection and Security | Data Monitoring and Administration | Data Backup | Data Replication | Database Management | Systems Performance Management | Cloud/On-Prem/Hybrid Deployment | Distributed Processing | High Availability | High Speed & Online Transaction Processing | Hybrid Transaction and Analytical Support
8.8
Composite
Score
+88
Emotional
Footprint
90
Reviews
Best Alternatives and Competitors to Microsoft SQL Server
Compare how Microsoft SQL Server stacks up to the competition in the areas that matter most to real users to short list options that will best fit your business needs.
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Oracle
Oracle Database
9.2
Composite
Score
+96
Emotional
Footprint
74
Reviews
Reviews Say
Compared to Microsoft SQL Server, Oracle Database is:
More Caring
Easier to Customize
More Inspiring
More Respectful
More Efficient
More Innovative
Oracle’s Database management capabilities make DBA lives easier by providing a full-lifecycle solution encompassing change and configuration management, patching, provisioning, testing, masking/subsetting, performance management and automatic tuning.
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Amazon
Amazon Aurora
8.4
Composite
Score
+97
Emotional
Footprint
41
Reviews
Reviews Say
Compared to Microsoft SQL Server, Amazon Aurora is:
More Caring
More Inspiring
More Efficient
More Transparent
More Innovative
Worse at Training
Amazon Aurora is a relational database engine that combines the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases.
Teradata
Teradata Advanced SQL Engine
7.9
Composite
Score
+94
Emotional
Footprint
27
Reviews
Reviews Say
Compared to Microsoft SQL Server, Teradata Advanced SQL Engine is:
More Caring
More Transparent
More Efficient
More Respectful
Worse at Training
Harder to Implement
Advanced SQL Engine leverages industry-leading Teradata Database which was designed with a patented massively parallel processing (MPP) architecture from ground-up. This allows complex analytics workloads to be broken down and distributed in order to perform as efficiently as possible. Advanced SQL is the foundation that provides the scalability to start small and then expand into an enterprise-wide, mission-critical analytics system.
SAP
SAP HANA Cloud
7.7
Composite
Score
+85
Emotional
Footprint
36
Reviews
Reviews Say
Compared to Microsoft SQL Server, SAP HANA Cloud is:
Harder to Implement
Worse at Training
Harder to Use
Less Innovative
Worse at Integrating
Harder to Customize
Harness the power of your data and accelerate trusted outcome-driven innovation by developing intelligent and live solutions for real-time decisions and actions on a single data copy. Support next-generation transactional and analytical processing with a broad set of advanced analytics – run securely across hybrid and multicloud environments.
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Microsoft Corporation
Azure Cosmos DB
7.6
Composite
Score
+86
Emotional
Footprint
16
Reviews
Reviews Say
Compared to Microsoft SQL Server, Azure Cosmos DB is:
Less Respectful
Less Reliable
Harder to Customize
Harder to Implement
Worse at Integrating
Worse at Training
Azure Cosmos DB is a fully managed NoSQL database service for modern app development with guaranteed single-digit millisecond response times and 99.999-per cent availability, backed by SLAs, automatic and instant scalability, and open-source APIs for MongoDB and Cassandra.
IBM
IBM Db2
7.6
Composite
Score
+93
Emotional
Footprint
11
Reviews
Reviews Say
Compared to Microsoft SQL Server, IBM Db2 is:
More Efficient
More Caring
More Respectful
Worse at Support
Worse at Integrating
Harder to Implement
Transform and modernize your business with the leader in AI-driven data management solutions. IBM Db2® is a family of hybrid data management products offering a complete suite of AI-empowered capabilities designed to help you manage both structured and unstructured data on premises as well as in private and public cloud environments. Db2 is built on an intelligent common SQL engine designed for scalability and flexibility.
Progress MarkLogic
Progress MarkLogic Data Platform
7.5
Composite
Score
+96
Emotional
Footprint
12
Reviews
Reviews Say
Compared to Microsoft SQL Server, Progress MarkLogic Data Platform is:
More Caring
More Transparent
More Inspiring
More Efficient
Harder to Use
Worse at Support
The Progress MarkLogic Data Platform is a multi-model, enterprise-grade, unified data platform for solving complex data challenges. With its flexible data model and advanced security, it integrates data from any source 10x faster in a single platform, breaking data silos while ensuring the highest levels of data protection. Coupled with powerful built-in search and semantic AI, the MarkLogic data platform delivers a 360-degree view of customers and data operations to improve the customer experience, accelerate discovery and drive smart decisions.
