Alternatives to Microsoft SQL Server Management Studio logo

Alternatives to Microsoft SQL Server Management Studio

Microsoft SQL Server, MySQL WorkBench, Microsoft Access, AzureDataStudio, and PostgreSQL are the most popular alternatives and competitors to Microsoft SQL Server Management Studio.
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What is Microsoft SQL Server Management Studio and what are its top alternatives?

It is an integrated environment for managing any SQL infrastructure, from SQL Server to Azure SQL Database. It provides tools to configure, monitor, and administer instances of SQL Server and databases. Use it to deploy, monitor, and upgrade the data-tier components used by your applications, as well as build queries and scripts.
Microsoft SQL Server Management Studio is a tool in the Database Tools category of a tech stack.

Top Alternatives to Microsoft SQL Server Management Studio

  • Microsoft SQL Server
    Microsoft SQL Server

    Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions. ...

  • MySQL WorkBench
    MySQL WorkBench

    It enables a DBA, developer, or data architect to visually design, model, generate, and manage databases. It includes everything a data modeler needs for creating complex ER models, forward and reverse engineering, and also delivers key features for performing difficult change management and documentation tasks that normally require much time and effort. ...

  • Microsoft Access
    Microsoft Access

    It is an easy-to-use tool for creating business applications, from templates or from scratch. With its rich and intuitive design tools, it can help you create appealing and highly functional applications in a minimal amount of time. ...

  • AzureDataStudio
    AzureDataStudio

    It is a cross-platform database tool for data professionals using the Microsoft family of on-premises and cloud data platforms on Windows, MacOS, and Linux. ...

  • PostgreSQL
    PostgreSQL

    PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions. ...

  • MySQL
    MySQL

    The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software. ...

  • Visual Studio
    Visual Studio

    Visual Studio is a suite of component-based software development tools and other technologies for building powerful, high-performance applications. ...

  • JavaScript
    JavaScript

    JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles. ...

Microsoft SQL Server Management Studio alternatives & related posts

Microsoft SQL Server logo

Microsoft SQL Server

19.6K
15.2K
539
A relational database management system developed by Microsoft
19.6K
15.2K
+ 1
539
PROS OF MICROSOFT SQL SERVER
  • 139
    Reliable and easy to use
  • 101
    High performance
  • 95
    Great with .net
  • 65
    Works well with .net
  • 56
    Easy to maintain
  • 21
    Azure support
  • 17
    Full Index Support
  • 17
    Always on
  • 10
    Enterprise manager is fantastic
  • 9
    In-Memory OLTP Engine
  • 2
    Security is forefront
  • 2
    Easy to setup and configure
  • 1
    Docker Delivery
  • 1
    Columnstore indexes
  • 1
    Great documentation
  • 1
    Faster Than Oracle
  • 1
    Decent management tools
CONS OF MICROSOFT SQL SERVER
  • 4
    Expensive Licensing
  • 2
    Microsoft

related Microsoft SQL Server posts

We initially started out with Heroku as our PaaS provider due to a desire to use it by our original developer for our Ruby on Rails application/website at the time. We were finding response times slow, it was painfully slow, sometimes taking 10 seconds to start loading the main page. Moving up to the next "compute" level was going to be very expensive.

We moved our site over to AWS Elastic Beanstalk , not only did response times on the site practically become instant, our cloud bill for the application was cut in half.

In database world we are currently using Amazon RDS for PostgreSQL also, we have both MariaDB and Microsoft SQL Server both hosted on Amazon RDS. The plan is to migrate to AWS Aurora Serverless for all 3 of those database systems.

Additional services we use for our public applications: AWS Lambda, Python, Redis, Memcached, AWS Elastic Load Balancing (ELB), Amazon Elasticsearch Service, Amazon ElastiCache

See more
Farzeem Diamond Jiwani
Software Engineer at IVP · | 8 upvotes · 1.4M views

Hey there! We are looking at Datadog, Dynatrace, AppDynamics, and New Relic as options for our web application monitoring.

Current Environment: .NET Core Web app hosted on Microsoft IIS

Future Environment: Web app will be hosted on Microsoft Azure

Tech Stacks: IIS, RabbitMQ, Redis, Microsoft SQL Server

Requirement: Infra Monitoring, APM, Real - User Monitoring (User activity monitoring i.e., time spent on a page, most active page, etc.), Service Tracing, Root Cause Analysis, and Centralized Log Management.

Please advise on the above. Thanks!

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MySQL WorkBench logo

MySQL WorkBench

377
724
28
A unified visual tool for database architects, developers, and DBAs
377
724
+ 1
28
PROS OF MYSQL WORKBENCH
  • 7
    Free
  • 7
    Simple
  • 6
    Easy to use
  • 5
    Clean UI
  • 3
    Administration and monitoring module
CONS OF MYSQL WORKBENCH
    Be the first to leave a con

    related MySQL WorkBench posts

    I'm learning SQL thru UDEMY and I'm trying to DL My SQL onto my machine, but when I get to the terminal, that's where I encounter my issues- nothing can be found. If I use SQLPro Studio for the course, is it better? I ask because MySQL WorkBench integrates with SQLPro Studio. I just want to get certified and start working again.

    See more
    Kelsey Doolittle

    We have a 138 row, 1700 column database likely to grow at least a row and a column every week. We are mostly concerned with how user-friendly the graphical management tools are. I understand MySQL has MySQL WorkBench, and Microsoft SQL Server has Microsoft SQL Server Management Studio. We have about 6 months to migrate our Excel database to one of these DBMS, and continue (hopefully manually) importing excel files from then on. Any tips appreciated!

    See more
    Microsoft Access logo

    Microsoft Access

    79
    84
    0
    A database management system
    79
    84
    + 1
    0
    PROS OF MICROSOFT ACCESS
      Be the first to leave a pro
      CONS OF MICROSOFT ACCESS
        Be the first to leave a con

        related Microsoft Access posts

        AzureDataStudio logo

        AzureDataStudio

        86
        108
        0
        A cross-platform database tool for data professionals
        86
        108
        + 1
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        PROS OF AZUREDATASTUDIO
          Be the first to leave a pro
          CONS OF AZUREDATASTUDIO
            Be the first to leave a con

            related AzureDataStudio posts

            Manikandan Shanmugam
            Software Engineer at Blitzscaletech Software Solution · | 4 upvotes · 1.3M views
            Shared insights
            on
            AzureDataStudioAzureDataStudioDBeaverDBeaver

            Which tools are preferred if I choose to work on more data side? Which one is good if I decide to work on web development? I'm using DBeaver and am now considering a move to AzureDataStudio to break the monotony while working. I would like to hear your opinion. Which one are you using, and what are the things you are missing in dbeaver or data studio.

            See more
            PostgreSQL logo

            PostgreSQL

            97K
            81.2K
            3.5K
            A powerful, open source object-relational database system
            97K
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            PROS OF POSTGRESQL
            • 763
              Relational database
            • 510
              High availability
            • 439
              Enterprise class database
            • 383
              Sql
            • 304
              Sql + nosql
            • 173
              Great community
            • 147
              Easy to setup
            • 131
              Heroku
            • 130
              Secure by default
            • 113
              Postgis
            • 50
              Supports Key-Value
            • 48
              Great JSON support
            • 34
              Cross platform
            • 33
              Extensible
            • 28
              Replication
            • 26
              Triggers
            • 23
              Multiversion concurrency control
            • 23
              Rollback
            • 21
              Open source
            • 18
              Heroku Add-on
            • 17
              Stable, Simple and Good Performance
            • 15
              Powerful
            • 13
              Lets be serious, what other SQL DB would you go for?
            • 11
              Good documentation
            • 9
              Scalable
            • 8
              Intelligent optimizer
            • 8
              Free
            • 8
              Reliable
            • 7
              Transactional DDL
            • 7
              Modern
            • 6
              One stop solution for all things sql no matter the os
            • 5
              Faster Development
            • 5
              Relational database with MVCC
            • 4
              Full-Text Search
            • 4
              Developer friendly
            • 3
              Great DB for Transactional system or Application
            • 3
              Free version
            • 3
              Excellent source code
            • 3
              Relational datanbase
            • 3
              search
            • 3
              Open-source
            • 2
              Full-text
            • 2
              Text
            • 1
              Multiple procedural languages supported
            • 1
              Can handle up to petabytes worth of size
            • 0
              Native
            CONS OF POSTGRESQL
            • 10
              Table/index bloatings

            related PostgreSQL posts

            Simon Reymann
            Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 10M views

            Our whole DevOps stack consists of the following tools:

            • GitHub (incl. GitHub Pages/Markdown for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
            • Respectively Git as revision control system
            • SourceTree as Git GUI
            • Visual Studio Code as IDE
            • CircleCI for continuous integration (automatize development process)
            • Prettier / TSLint / ESLint as code linter
            • SonarQube as quality gate
            • Docker as container management (incl. Docker Compose for multi-container application management)
            • VirtualBox for operating system simulation tests
            • Kubernetes as cluster management for docker containers
            • Heroku for deploying in test environments
            • nginx as web server (preferably used as facade server in production environment)
            • SSLMate (using OpenSSL) for certificate management
            • Amazon EC2 (incl. Amazon S3) for deploying in stage (production-like) and production environments
            • PostgreSQL as preferred database system
            • Redis as preferred in-memory database/store (great for caching)

            The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:

            • Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
            • Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
            • Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
            • Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
            • Scalability: All-in-one framework for distributed systems.
            • Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
            See more
            Jeyabalaji Subramanian

            Recently we were looking at a few robust and cost-effective ways of replicating the data that resides in our production MongoDB to a PostgreSQL database for data warehousing and business intelligence.

            We set ourselves the following criteria for the optimal tool that would do this job: - The data replication must be near real-time, yet it should NOT impact the production database - The data replication must be horizontally scalable (based on the load), asynchronous & crash-resilient

            Based on the above criteria, we selected the following tools to perform the end to end data replication:

            We chose MongoDB Stitch for picking up the changes in the source database. It is the serverless platform from MongoDB. One of the services offered by MongoDB Stitch is Stitch Triggers. Using stitch triggers, you can execute a serverless function (in Node.js) in real time in response to changes in the database. When there are a lot of database changes, Stitch automatically "feeds forward" these changes through an asynchronous queue.

            We chose Amazon SQS as the pipe / message backbone for communicating the changes from MongoDB to our own replication service. Interestingly enough, MongoDB stitch offers integration with AWS services.

            In the Node.js function, we wrote minimal functionality to communicate the database changes (insert / update / delete / replace) to Amazon SQS.

            Next we wrote a minimal micro-service in Python to listen to the message events on SQS, pickup the data payload & mirror the DB changes on to the target Data warehouse. We implemented source data to target data translation by modelling target table structures through SQLAlchemy . We deployed this micro-service as AWS Lambda with Zappa. With Zappa, deploying your services as event-driven & horizontally scalable Lambda service is dumb-easy.

            In the end, we got to implement a highly scalable near realtime Change Data Replication service that "works" and deployed to production in a matter of few days!

            See more
            MySQL logo

            MySQL

            123.8K
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            3.7K
            The world's most popular open source database
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            PROS OF MYSQL
            • 800
              Sql
            • 679
              Free
            • 562
              Easy
            • 528
              Widely used
            • 489
              Open source
            • 180
              High availability
            • 160
              Cross-platform support
            • 104
              Great community
            • 78
              Secure
            • 75
              Full-text indexing and searching
            • 25
              Fast, open, available
            • 16
              SSL support
            • 15
              Reliable
            • 14
              Robust
            • 8
              Enterprise Version
            • 7
              Easy to set up on all platforms
            • 2
              NoSQL access to JSON data type
            • 1
              Relational database
            • 1
              Easy, light, scalable
            • 1
              Sequel Pro (best SQL GUI)
            • 1
              Replica Support
            CONS OF MYSQL
            • 16
              Owned by a company with their own agenda
            • 3
              Can't roll back schema changes

            related MySQL posts

            Nick Rockwell
            SVP, Engineering at Fastly · | 46 upvotes · 3.6M views

            When I joined NYT there was already broad dissatisfaction with the LAMP (Linux Apache HTTP Server MySQL PHP) Stack and the front end framework, in particular. So, I wasn't passing judgment on it. I mean, LAMP's fine, you can do good work in LAMP. It's a little dated at this point, but it's not ... I didn't want to rip it out for its own sake, but everyone else was like, "We don't like this, it's really inflexible." And I remember from being outside the company when that was called MIT FIVE when it had launched. And been observing it from the outside, and I was like, you guys took so long to do that and you did it so carefully, and yet you're not happy with your decisions. Why is that? That was more the impetus. If we're going to do this again, how are we going to do it in a way that we're gonna get a better result?

            So we're moving quickly away from LAMP, I would say. So, right now, the new front end is React based and using Apollo. And we've been in a long, protracted, gradual rollout of the core experiences.

            React is now talking to GraphQL as a primary API. There's a Node.js back end, to the front end, which is mainly for server-side rendering, as well.

            Behind there, the main repository for the GraphQL server is a big table repository, that we call Bodega because it's a convenience store. And that reads off of a Kafka pipeline.

            See more
            Tim Abbott

            We've been using PostgreSQL since the very early days of Zulip, but we actually didn't use it from the beginning. Zulip started out as a MySQL project back in 2012, because we'd heard it was a good choice for a startup with a wide community. However, we found that even though we were using the Django ORM for most of our database access, we spent a lot of time fighting with MySQL. Issues ranged from bad collation defaults, to bad query plans which required a lot of manual query tweaks.

            We ended up getting so frustrated that we tried out PostgresQL, and the results were fantastic. We didn't have to do any real customization (just some tuning settings for how big a server we had), and all of our most important queries were faster out of the box. As a result, we were able to delete a bunch of custom queries escaping the ORM that we'd written to make the MySQL query planner happy (because postgres just did the right thing automatically).

            And then after that, we've just gotten a ton of value out of postgres. We use its excellent built-in full-text search, which has helped us avoid needing to bring in a tool like Elasticsearch, and we've really enjoyed features like its partial indexes, which saved us a lot of work adding unnecessary extra tables to get good performance for things like our "unread messages" and "starred messages" indexes.

            I can't recommend it highly enough.

            See more
            Visual Studio logo

            Visual Studio

            47.7K
            37.1K
            1.1K
            State-of-the-art tools and services that you can use to create great apps for devices, the cloud, and everything...
            47.7K
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            1.1K
            PROS OF VISUAL STUDIO
            • 305
              Intellisense, ui
            • 244
              Complete ide and debugger
            • 165
              Plug-ins
            • 104
              Integrated
            • 93
              Documentation
            • 37
              Fast
            • 35
              Node tools for visual studio (ntvs)
            • 33
              Free Community edition
            • 24
              Simple
            • 17
              Bug free
            • 8
              Made by Microsoft
            • 6
              Full free community version
            • 5
              JetBrains plugins (ReSharper etc.) work sufficiently OK
            • 3
              Productivity Power Tools
            • 2
              Vim mode
            • 2
              VIM integration
            • 1
              I develop UWP apps and Intellisense is super useful
            • 1
              Cross platform development
            • 1
              The Power and Easiness to Do anything in any.. language
            • 1
              Available for Mac and Windows
            CONS OF VISUAL STUDIO
            • 15
              Bulky
            • 14
              Made by Microsoft
            • 6
              Sometimes you need to restart to finish an update
            • 3
              Too much size for disk
            • 3
              Only avalible on Windows

            related Visual Studio posts

            Shared insights
            on
            C#C#JavaJavaVisual StudioVisual Studio

            I use C# because of the ease of designing user interfaces compared to Java. Using Visual Studio makes C# a breeze for prototyping and creating apps and I really appreciate how quickly I can turn an idea into reality. I was first introduced to C# in a special topics course and quickly started preferring it over Java. The similarities between the two made the switch easy while the added benefits C# offers made it very worth it.

            See more
            Andrey Kurdyumov

            I use TypeScript because it greatly simplify my refactoring efforts. I regularly re-validate my assumption about application architecture, and strictness of types allow me write make changes safely using just Visual Studio tooling. Integration with existing JavaScript libraries very simple and fast. If I have no time, I could just use any type as output of JS module. When I have more time, I could just submit PR to DefinitelyTyped and it would be quickly accepted. Overall it gives less ambiguity for my code.

            See more
            JavaScript logo

            JavaScript

            354.7K
            269.7K
            8.1K
            Lightweight, interpreted, object-oriented language with first-class functions
            354.7K
            269.7K
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            8.1K
            PROS OF JAVASCRIPT
            • 1.7K
              Can be used on frontend/backend
            • 1.5K
              It's everywhere
            • 1.2K
              Lots of great frameworks
            • 897
              Fast
            • 745
              Light weight
            • 425
              Flexible
            • 392
              You can't get a device today that doesn't run js
            • 286
              Non-blocking i/o
            • 237
              Ubiquitousness
            • 191
              Expressive
            • 55
              Extended functionality to web pages
            • 49
              Relatively easy language
            • 46
              Executed on the client side
            • 30
              Relatively fast to the end user
            • 25
              Pure Javascript
            • 21
              Functional programming
            • 15
              Async
            • 13
              Full-stack
            • 12
              Setup is easy
            • 12
              Future Language of The Web
            • 12
              Its everywhere
            • 11
              Because I love functions
            • 11
              JavaScript is the New PHP
            • 10
              Like it or not, JS is part of the web standard
            • 9
              Everyone use it
            • 9
              Expansive community
            • 9
              Easy
            • 9
              Can be used in backend, frontend and DB
            • 8
              Easy to hire developers
            • 8
              No need to use PHP
            • 8
              For the good parts
            • 8
              Can be used both as frontend and backend as well
            • 8
              Powerful
            • 8
              Most Popular Language in the World
            • 7
              Evolution of C
            • 7
              Hard not to use
            • 7
              Versitile
            • 7
              Its fun and fast
            • 7
              Supports lambdas and closures
            • 7
              Love-hate relationship
            • 7
              Photoshop has 3 JS runtimes built in
            • 7
              Nice
            • 7
              It's fun
            • 7
              Popularized Class-Less Architecture & Lambdas
            • 7
              Agile, packages simple to use
            • 6
              Can be used on frontend/backend/Mobile/create PRO Ui
            • 6
              1.6K Can be used on frontend/backend
            • 6
              Client side JS uses the visitors CPU to save Server Res
            • 6
              It let's me use Babel & Typescript
            • 6
              Easy to make something
            • 5
              Client processing
            • 5
              Everywhere
            • 5
              Scope manipulation
            • 5
              Function expressions are useful for callbacks
            • 5
              Stockholm Syndrome
            • 5
              Promise relationship
            • 5
              Clojurescript
            • 5
              What to add
            • 4
              Only Programming language on browser
            • 4
              Because it is so simple and lightweight
            • 1
              Easy to understand
            • 1
              Test
            • 1
              Test2
            • 1
              Subskill #4
            • 1
              Easy to learn
            • 1
              Hard to learn
            • 1
              Not the best
            • 0
              Hard 彤
            CONS OF JAVASCRIPT
            • 22
              A constant moving target, too much churn
            • 20
              Horribly inconsistent
            • 15
              Javascript is the New PHP
            • 9
              No ability to monitor memory utilitization
            • 8
              Shows Zero output in case of ANY error
            • 7
              Thinks strange results are better than errors
            • 6
              Can be ugly
            • 3
              No GitHub
            • 2
              Slow
            • 0
              HORRIBLE DOCUMENTS, faulty code, repo has bugs

            related JavaScript posts

            Zach Holman

            Oof. I have truly hated JavaScript for a long time. Like, for over twenty years now. Like, since the Clinton administration. It's always been a nightmare to deal with all of the aspects of that silly language.

            But wowza, things have changed. Tooling is just way, way better. I'm primarily web-oriented, and using React and Apollo together the past few years really opened my eyes to building rich apps. And I deeply apologize for using the phrase rich apps; I don't think I've ever said such Enterprisey words before.

            But yeah, things are different now. I still love Rails, and still use it for a lot of apps I build. But it's that silly rich apps phrase that's the problem. Users have way more comprehensive expectations than they did even five years ago, and the JS community does a good job at building tools and tech that tackle the problems of making heavy, complicated UI and frontend work.

            Obviously there's a lot of things happening here, so just saying "JavaScript isn't terrible" might encompass a huge amount of libraries and frameworks. But if you're like me, yeah, give things another shot- I'm somehow not hating on JavaScript anymore and... gulp... I kinda love it.

            See more
            Conor Myhrvold
            Tech Brand Mgr, Office of CTO at Uber · | 44 upvotes · 11.3M views

            How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:

            Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.

            Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:

            https://eng.uber.com/distributed-tracing/

            (GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)

            Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark

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