Top SQL Server Alternatives & Competitors For 2024

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Looking for alternatives to SQL Server? Many users crave user-friendly and feature-rich solutions for tasks like Data Definition and Manipulation, Transaction Management, and Querying. Leveraging crowdsourced data from over 1,000 real Relational Databases selection projects based on 400+ capabilities, we present a comparison of SQL Server to leading industry alternatives like MicroStrategy, Sisense, Looker, and Qlik Sense.

MicroStrategy Software Tool
Sisense Software Tool
Looker Software Tool
Qlik Sense Software Tool

Product Basics

SQL Server, a relational database management system (RDBMS) from Microsoft, excels at storing, organizing, and retrieving large datasets. It's often a top choice for businesses running on Microsoft ecosystems due to its seamless integration with other Microsoft tools like Office and Power BI. Priced per core or server license, its cost can vary depending on the chosen edition and scale. While offering a free express edition for smaller deployments, its paid tiers cater to mission-critical applications and larger organizations. SQL Server shines in reliability, security, and performance, making it suitable for various data management needs. Its robust security features ensure data integrity, while its scalability allows handling massive datasets efficiently. Popular features include built-in reporting tools, disaster recovery options, and tight integration with development frameworks like .NET. However, setup and maintenance can be complex, requiring specialized skills. Additionally, some users cite limited cross-platform compatibility and a steeper learning curve compared to open-source alternatives. Overall, SQL Server offers a powerful and secure solution for organizations invested in the Microsoft ecosystem, especially those managing large-scale data and requiring robust features. However, its cost and complexity might deter smaller businesses or those seeking more flexible, cross-platform options.

Pros
  • Reliable performance
  • Strong security features
  • Integration with Microsoft tools
  • Scalable for large datasets
  • Extensive online resources
Cons
  • Can be expensive
  • Complex setup and maintenance
  • Vendor lock-in potential
  • Limited cross-platform support
  • Steeper learning curve
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MicroStrategy is a data visualization and reporting platform that deploys on-premise and on the web. The cloud version runs on AWS or Microsoft Azure. MicroStrategy Library is the web edition, while Workstation is the desktop version.

It reigns supreme as the top analytics tool in our product directory and provides 91% of the required features out of the box. Regarding source data integration, it leaves very little to chance, winning our best-in-class award for connectivity. With over 200 connectors, there’s a high chance it’ll satisfy your data needs.

If not, you can build one using a software development kit. SDKs are also the force behind REST and embedding APIs, HyperIntelligence and data visualization. Plus, the semantic layer enables automating data prep and analysis and generating visualizations on cue.

Dossiers in MicroStrategy are like books; they have chapters further divided into pages, and each page has one or more visualizations. Every view is free-form — you can move charts around and organize them as you like. With write-back capability, you can update underlying databases from visualizations.

The vendor launched its unified cloud AI analytics platform, MicroStrategy One, with GPT-4o in September 2024. It’s twice as fast, digging into the selected data to produce dashboard summaries and answer user queries in seconds. Update 12 has auditing capabilities and shows details of active licenses, including their compliance status.

Its heart and soul is an Intelligence Server that manages metadata and processes queries. A mobile app is available. There’s a 30-day trial, but access to group permissions, KPIs and subscriptions requires a paid upgrade.

User reviews mentioned that the solution was effective, but the ecosystem and pricing were complex.

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Sisense is an end-to-end data analytics platform that makes data discovery and analytics accessible to customers and employees alike via an embeddable, scalable architecture. With a back-end powered by in-chip technology, it allows analysts to blend large datasets from a variety of sources into a single cohesive database for the entire company. On the front-end, users of all technical skill levels can craft visualizations, reports and dashboards to explore and share insights that drive businesses forward. Its AI-driven, cloud-native analytics offering, Fusion, embeds into business workspaces and empowers teams to view key metrics and data insights where they work.

Designed for companies of all sizes, it can be deployed on-premises, as a private cloud-hosted SaaS, as a fully managed SaaS or via a hybrid strategy. It is available via annual subscription pricing and offered in three packages: its main offering BI & Analytics Teams, its embedded analytics component Product Teams and code-driven cloud analytics through Cloud Data Teams.
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Looker is a web-based analytics solution that offers businesses the ability to explore, discover, visualize and share data insights. Enterprises can view data sources and drill down into data to better understand their business and metrics.

Using a simple proprietary modeling language, this system helps define data relationships while bypassing SQL. It facilitates data literacy and accessibility, irrespective of technical skill levels. It was acquired by Google on June 6, 2019, for $2.9 billion.
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Qlik Sense is a self-service analytics solution that supports enterprise decisions and strategy. Its value lies in interactive dashboards and reports for exploring data independently. Embedded analytics lets your users work freely with data within their applications and websites.

Like QlikView, Qlik Sense has an associative engine. It links data tables in memory, keeping the information ready for when your users build models. Plus, its cognitive engine uses natural language for data tasks.

The Enterprise subscription includes Talend Data Integration and Qlik Advanced Analytics in Qlik Cloud. You can also choose Qlik Data Integration. Qlik Sense Enterprise SaaS includes 5000 automations and 100 reports. It might be a good fit if your data loads are predictable and don't change much. The vendor charges for the data you move or the volumes you analyze; you can choose between the two.

Qlik Sense deploys on Windows, Mac, Linux and any phone device. By contrast, Tableau runs on Windows, Mac and mobile, while Power BI is available only on Windows and Android devices.

Individual users can choose the desktop edition, though they’ll need a Qlik Cloud account to download it. A 30-day trial period is available, after which it'll cost $30 per user monthly.

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Product Ranking

#3

among all
Relational Databases

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Analyst Rating Summary

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Data Definition and Manipulation
Querying
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Analyst Ratings for Functional Requirements Customize This Data Customize This Data

SQL Server
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Data Definition and Manipulation Data Integration and Interoperability Data Management and Partitioning Platform Capabilities Querying Transaction Management 100 93 86 93 100 100 0 25 50 75 100
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User Sentiment Summary

Great User Sentiment 7657 reviews
Great User Sentiment 973 reviews
Great User Sentiment 1979 reviews
Great User Sentiment 1836 reviews
Great User Sentiment 3168 reviews
89%
of users recommend this product

SQL Server has a 'great' User Satisfaction Rating of 89% when considering 7657 user reviews from 4 recognized software review sites.

84%
of users recommend this product

MicroStrategy has a 'great' User Satisfaction Rating of 84% when considering 973 user reviews from 5 recognized software review sites.

88%
of users recommend this product

Sisense has a 'great' User Satisfaction Rating of 88% when considering 1979 user reviews from 5 recognized software review sites.

88%
of users recommend this product

Looker has a 'great' User Satisfaction Rating of 88% when considering 1836 user reviews from 5 recognized software review sites.

87%
of users recommend this product

Qlik Sense has a 'great' User Satisfaction Rating of 87% when considering 3168 user reviews from 5 recognized software review sites.

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Awards

Querying Award
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Synopsis of User Ratings and Reviews

Reliability and Performance: Users consistently praise SQL Server's stability, speed, and ability to handle large, complex workloads with minimal downtime.
Security: SQL Server offers robust security features, including multi-layered encryption, access controls, and active threat detection, to safeguard sensitive data.
Scalability: Users appreciate the ability to easily scale SQL Server to meet evolving data needs without compromising performance or incurring significant costs.
Integration with Microsoft Ecosystem: Seamless integration with other Microsoft tools and services, such as Azure cloud services and Power BI, enhances productivity and data management capabilities.
Comprehensive Tools and Features: SQL Server provides a rich set of tools for database administration, development, and analysis, including SSMS, SQL Server Data Tools (SSDT), and SQL Server Reporting Services (SSRS).
Strong Community and Support: Users benefit from a large, active community of SQL Server professionals and extensive resources from Microsoft, including documentation, tutorials, and forums.
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Data Visualization: Users were satisfied with its powerful dashboards and personalization options for self-service analytics.
Functionality: Reviewers praised the platform for delivering on capabilities and scaling with their data needs.
Ease of Use: User reviews appreciated its reusable objects and semantic layer for automating data wrangling and visualization workflows.
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Customer Service and Support : More than 92% of users mentioning customer support said that responses to their queries were prompt and informative, and that there’s good access to online user communities.
Data Integration: Approximately 92% of users who mention data source integrations express satisfaction with its ability to import, blend and streamline data from multiple sources into a cohesive database.
Data Visualization: Citing stunning dashboards with a range of visually powerful visual tools like widgets, graphs and scattergrams, 85% of users who mention data visualization say it’s a strong feature of Sisense.
Ease of Use: More than 93% of users mentioning the platform’s ease of use praise it as user-friendly, citing self-service BI features such as interactive dashboards and data visualizations.
Cost: Among users who comment on its pricing, more than 85% said that Sisense offers great value for its cost, with some reviews coming from long-time customers.
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Reporting: Looker features strong reporting features that offer a degree of granularity and scheduling that 100% of users who mention reporting evaluate as a strong benefit.
Support: Of the users who say they’ve contacted customer support, 95% say the team’s quick and informative responses are a plus.
Data Accessibility: All users who mention accessibility to data say Looker does this well, distributing insights to employees across departments and teams with ease, with 100% of users mentioning this feature believing it is a benefit.
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Integrations: Approximately 86% of users reviewing data sources were satisfied with its wide connectivity.
Ease of Use: About 84% of users who cited usability praised the platform for self-service BI.
Functionality: Around 80% of the reviews that mentioned features praised it for ETL and data visualization.
Data Visualization: About 66% of the users discussing dashboards were satisfied with its interactive displays that allowed them to dig deep.
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Licensing Cost: Can be expensive for large deployments, especially with Enterprise editions and complex licensing requirements.
Complexity: Managing and maintaining SQL Server, particularly in large environments, can require specialized skills and expertise.
Limited Cloud Flexibility: While Azure SQL Managed Instance offers managed cloud services, on-premises deployments might require additional effort for cloud migration and management.
Vendor Lock-in: Switching from SQL Server to other database systems can be complex due to its proprietary nature and T-SQL language.
Performance Overhead: Complex queries or large datasets can strain resource usage, potentially impacting performance, especially on less powerful hardware.
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Cost: A majority of the users found the platform to be expensive.
Adoption: Most reviews said the platform had a steep learning curve.
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Data Preparation and Modeling: About 50% of users who mentioned data modeling say that it is not as intuitive for non-technical staff, requiring strong IT support.
Training: More than 60% of users who write about learning how to use the platform say that with frequent new releases, a lack of sufficient documentation, coupled with the difficulty of using a programming language make this a tricky tool to master.
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Learning Curve: About 74% of users who touch on the platform’s ease of use say that the confusing documentation, lack of training opportunities and difficulty of using programming language make Looker a tough tool to pick up as a beginner.
Setup: Of the users who mention implementation, 81% say that setting up the platform is difficult, with integrations not being as plug-and-play as competitors and assistance from IT necessary to the setup process.
Speed: Approximately 87% of users who comment on the platform’s speed say that it is slow to render certain queries and often takes a while to load.
Functionality: About 78% of users who talk about Looker’s features say that they are left wanting many functions and find the ones that it does have limited in customization or too complex to use easily.
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Cost: About 87% of users who mentioned pricing found the tool expensive.
Performance: Around 86% of users citing speed said it lagged when processing large and complex datasets.
Training: Approximately 69% of users who discussed adoption said there was a significant learning curve.
Customization: Around 65% of users who mentioned the freedom to design dashboards said the tool offered limited options.
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SQL Server continues to be a popular choice for database management, with user reviews highlighting both its strengths and weaknesses. Reliability and performance remain key selling points. Users praise its stability, speed, and ability to handle demanding workloads, making it a trusted choice for mission-critical applications. However, licensing costs can be a significant barrier, especially for larger deployments compared to open-source alternatives like PostgreSQL. Security is another forte, with users appreciating its multi-layered approach to protecting sensitive data. However, its complexity can be daunting, requiring specialized skills for administration and maintenance, particularly in larger environments. While Azure SQL Managed Instance offers managed cloud services, some users find on-premises deployments less flexible for cloud migration. Users acknowledge its rich set of tools and features, including SSMS, SSDT, and SSRS, for efficient database management, development, and analysis. Yet, they recognize vendor lock-in as a potential drawback, as switching to other systems can be challenging due to its proprietary nature and T-SQL language. Overall, SQL Server's reliability, performance, and security are highly valued. However, its cost, complexity, and limited cloud flexibility are common concerns. Users compare it favorably to PostgreSQL for affordability and open-source nature, while acknowledging its less mature feature set. Oracle Database is seen as a competitor for large-scale enterprise deployments, but users note its even higher cost and complexity. Ultimately, the choice comes down to specific needs and priorities. For users prioritizing reliability, security, and integration with the Microsoft ecosystem, SQL Server remains a compelling option. However, those seeking flexibility, lower costs, or open-source options might find PostgreSQL or other alternatives more attractive.

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MicroStrategy is a patchwork quilt of products on the web, desktop and mobile. There’s MicroStrategy Library where you can access published content and Auto Express for dashboarding and bot creation. Anyone with basic data skills can feed information to a bot and gain insights in seconds.You don’t need a credit card to sign up for the free trial, but you won’t be able to publish content to the server without a paid upgrade. As for choosing which edition to use, there’s the web and the desktop instance. Which one will suit you? Maybe both?MicroStrategy Workstation is for developers and data analysts and is more robust for manipulating data. It provides administrative control, even when offline, and helps prototype content before it goes live. Combining multiple visualizations on a single page provided me with more context for the same data.On the other hand, the Workstation version lacks the same level of natural language processing as the web version.MicroStrategy Web is for delivering content to your clients. Being online, it’s open to seamless upgrades and customization, and identity management and collaboration are built in. If you have a small organization, the web version might suffice, but you might want to consider going for both if you deal with large data volumes.Metadata mapping was immensely useful to me when designing a bot using MicroStrategy Auto Express. All I needed to do was feed it the data, and it generated a slew of questions I might want to ask.With a semantic layer, Microstrategy is among the BI tools that work best with large data warehouses. If you’ve just started in business or haven’t got large data volumes yet, you might want to consider a simpler tool.An oft-repeated sentiment in user reviews was that this motley crew of products — web, desktop and mobile — didn’t always sync. The vendor positions MicroStrategy One as a unified solution that’ll, hopefully, eliminate these annoyances.On the flip side, quite a few users said it could be clunky for inexperienced users. Also, some reviewers said it slowed on occasion. Most people said the solution was expensive and found its learning curve quite steep.In summary, MicroStrategy is worth considering, especially if you’re a medium or large-sized company looking for a web reporting tool with a user-friendly interface.

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Users appreciate how Sisense creates large datasets from constantly evolving data sources to be seamlessly streamlined into actionable data, and presented easily in the form of graphs, bar and pie charts, scattergrams, line graphs, interactive maps and many more visualization types. Regarding customer support, users praise their prompt and informative responses - from implementation to handling subsequent queries — as high quality customer service that comes neatly packaged with pricing plans. Users mention that the implementation of this solution, though easy for basic setup, can be quite demanding in terms of scripting and configuration setup, especially for advanced analytics. Non-technical users might find it challenging to set up the data objects - ElastiCubes - without strong IT support. On the front-end, dashboard customization and formatting of visualizations can be tricky as these require basic knowledge of CSS, Javascript and development. Though a large number of users find this solution to be cost-effective, smaller businesses and startups that only need a limited number of licenses might find it expensive. Overall, Sisense is a strong BI solution with strong data capabilities, and its drill-down functionality empowers users to glean insightful and actionable analytics that drive business strategy by aiding in decision-making processes. To maximize its potential, businesses may require strong IT support for implementation and formatting of visualizations. It is certainly worth considering for enterprise BI needs, if the price is right!

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Looker is a forerunner in the business intelligence field for a reason; it generates reports that include easy sharing via link, automatic scheduling and a level of granular detail that allows for deeper analysis below the surface. It excels in its filter and drill-down features and creates unique URLs when users make changes to data, leading to enhanced sharing. However, one of its biggest strengths could also be considered one of its biggest weaknesses: its proprietary programming language, LookML which is used to construct SQL queries in the platform. While a flexible and powerful data querying language, of course, LookML isn’t the most accessible to non-technical users, which means that Looker requires an IT or data team to access its full capabilities and has a steep learning curve. Users also note that its data visualizations, while simple and easy to understand, are quite basic and lacking in customization options, particularly in comparison to competitors. Some users say that it may be more appropriate for internal reporting than presentation to shareholders and end-users because of its bare-bones visualization options. However, Looker truly shines when used by enterprises, with its scalability and data accessibility making it a stellar solution that can align departments and provide thousands of users access to data insights. Its price point reflects this, with its pricing being prohibitive to startups as about 88% of users who comment on its cost remark. Overall, Looker is a solid pick for larger businesses that have a team of power users who can maximize its functionality and set it up to deliver to employees across an entire organization.

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Qlik Sense focuses on independent data analysis for enterprises with advanced tools that include AI, natural language processing and automation. User reviews praise it for its associative engine, interactive visualizations and sophisticated analytics.Its dataset-linking functionality gets my vote as the most significant differentiator since it makes data modeling seamless and saves time. In comparison, manually linking tables in Tableau and Power BI feels like a huge task.It supports fewer features out of the box (69%) compared to Tableau (72%) and Power BI (74%), but this could be intentional. Qlik has ready-to-go modules for analytics, automation and printing, so keeping it lean is a smart vendor move. Users should be aware that additional modules will cost extra, though.Qlik Sense SaaS is multi-cloud, so unless the admin assigns separate workspaces, your users won’t be able to create personal dashboards — everything is shared otherwise. Some users said the platform slowed when processing large workloads, which is a common issue with many other platforms. Assess your need for speed before committing to a purchase.If upgrading from QlikView, you’ll need to create new objects initially, as both platforms have different architectures. However, the vendor assists in seamless migration with the Qlik Analytics Modernization program.Overall, Qlik Sense is an efficient platform that offers many analysis capabilities worth considering. We recommend checking it out if you’re looking for an alternative to Power BI, entrenched in Microsoft technology, or Tableau, with its emphasis on visualization.

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Related Categories

Top Alternatives in Relational Databases


Amazon Aurora

Amazon RDS

Azure SQL Database

Firebird

Google Cloud SQL

HSQLDB

IBM DB2

MariaDB

MySQL

Oracle Database

PostgreSQL

SAP ASE

SAP HANA Cloud

SQLite

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