Azure Data Studio vs SSMS: Which One in 2026?
Chat2DB TeamFor years the answer to "Azure Data Studio or SSMS?" was "both, for different jobs". That comparison changed in 2026: Microsoft retired Azure Data Studio on 28 February 2026 and continues to ship SQL Server Management Studio, which is now on the Visual Studio shell and 64-bit. So the practical question has shifted. It is no longer which of the two to standardise on — it is what to do with the work you were doing in Azure Data Studio.
This article compares them honestly, then covers where each piece of that work should go.
The short version
SSMS is a SQL Server administration tool. Azure Data Studio was a cross-platform query and notebook editor. They overlapped on the query window and almost nowhere else.
SSMS is Windows-only, has always been Windows-only, and Microsoft has never shipped a macOS build. It is heavier to install and slower to launch, and it does exactly one database engine family. In exchange it does that family completely: Maintenance Plans, Always On availability group wizards, Policy-Based Management, Replication configuration, Integration Services deployment, the Activity Monitor, the full Agent job editor, database mail, and the security and permissions dialogs that a DBA uses every week.
Azure Data Studio ran on Windows, macOS and Linux, launched in a couple of seconds, and had notebooks, source-control integration and a modern editor. It never had the administration surface, and now it has no support either.
Feature comparison
Platform. SSMS: Windows only. ADS: Windows, macOS, Linux — but retired.
Support status in 2026. SSMS: actively developed and supported. ADS: end of support since 28 February 2026, no security patches.
Query editing. Both have IntelliSense and a results grid. ADS had the better editor — it was built on VS Code, with multiple cursors, a proper command palette and extension support. SSMS 21 improved on earlier versions but is still an older editing experience.
Execution plans. SSMS wins clearly. Graphical actual and estimated plans, live query statistics, plan comparison and Query Store integration. ADS had plan viewing through an extension and it was noticeably thinner.
Notebooks. ADS only. This was its distinguishing feature: SQL and Markdown cells in one .ipynb file, ideal for runbooks and incident postmortems.
Server administration. SSMS only, and not by a small margin. If your job involves configuring replication, building maintenance plans, managing Always On, or deploying SSIS packages, no other client covers it.
SQL Server Agent. SSMS has the full job editor with schedules, steps, alerts and operators. ADS had a basic Agent extension for viewing and simple edits.
Import and export. SSMS has the Import/Export Wizard, the Import Flat File wizard, and generate-scripts with data. ADS had a simpler flat-file import.
Source control. ADS had built-in Git, inherited from VS Code. SSMS has none.
Other database engines. Neither one properly. ADS had community PostgreSQL extensions of varying quality; SSMS is SQL Server only.
What is still SSMS-only
This list is worth keeping because it decides whether you can retire a Windows machine:
- Maintenance Plans (the designer, not just the underlying Agent jobs)
- Always On availability group creation and failover wizards
- Replication: publications, subscriptions, the Replication Monitor
- Integration Services: package deployment, the SSIS catalog UI
- Policy-Based Management and Central Management Servers
- Database Mail configuration
- The Activity Monitor and its blocking/expensive-query panes
- Database Tuning Advisor and the Profiler-era tooling
- Full-fidelity Generate Scripts with data and dependency ordering
Everything else — writing queries, browsing schemas, editing data, exporting results, managing indexes, reading plans — is available in cross-platform clients.
Where the ADS workload should go
Split the work by what you were actually doing.
Query editing on Windows, SQL Server only. Use SSMS, or the MSSQL extension for Visual Studio Code, which is where Microsoft moved its tooling investment. The extension covers connections, a query editor, object browsing, a schema designer and query plan visualisation.
Query editing on macOS or Linux. This is where ADS mattered most and where the loss is real. SSMS is not an option. The practical replacements are cross-platform clients: Chat2DB (opens in a new tab) connects to SQL Server over TDS from all three desktop platforms and to 20+ other engines besides, with AI that writes and explains T-SQL against your real schema; DBeaver is the strongest free option; DataGrip fits a JetBrains subscription; TablePlus is the leanest native Mac client. Chat2DB also has a browser version at app.chat2db.ai (opens in a new tab).
Notebooks and runbooks. Convert them. A SQL notebook is an .ipynb file, so the content is portable even though the kernel is not. For runbooks that are mostly queries with commentary, exporting to .sql and putting the file in Git is usually an improvement:
-- Runbook: investigate blocking on sql01
-- Step 1: who is blocking whom right now
SELECT
r.session_id,
r.blocking_session_id,
r.wait_type,
r.wait_time / 1000.0 AS wait_seconds,
r.status,
DB_NAME(r.database_id) AS database_name,
SUBSTRING(t.text, (r.statement_start_offset / 2) + 1,
((CASE r.statement_end_offset
WHEN -1 THEN DATALENGTH(t.text)
ELSE r.statement_end_offset
END - r.statement_start_offset) / 2) + 1) AS statement_text
FROM sys.dm_exec_requests AS r
CROSS APPLY sys.dm_exec_sql_text(r.sql_handle) AS t
WHERE r.blocking_session_id <> 0
ORDER BY r.wait_time DESC;
GO
-- Step 2: the head of each blocking chain
WITH blockers AS (
SELECT session_id, blocking_session_id
FROM sys.dm_exec_requests
WHERE blocking_session_id <> 0
)
SELECT DISTINCT b.blocking_session_id AS head_blocker,
s.login_name,
s.host_name,
s.program_name,
s.last_request_start_time
FROM blockers AS b
JOIN sys.dm_exec_sessions AS s
ON s.session_id = b.blocking_session_id
WHERE b.blocking_session_id NOT IN (SELECT session_id FROM blockers);
GOFor notebooks that must stay notebooks, Jupyter with pyodbc gives you a supported kernel and the same cell structure.
Administration. It stays in SSMS on a Windows machine. Most teams that moved to cross-platform clients keep one SSMS install on a jump box for the wizard-driven jobs, which happen monthly rather than hourly.
A note on connection encryption
Whatever client you move to, this is a good moment to fix connection settings that were quietly insecure. The Microsoft ODBC Driver 18 and recent SQL Server drivers default Encrypt to true, which surfaces certificate problems that older defaults hid. The wrong fix is TrustServerCertificate=true everywhere; the right one is a certificate the client trusts:
-- Check what the server is presenting and whether sessions are encrypted
SELECT session_id, encrypt_option, auth_scheme, net_transport, client_net_address
FROM sys.dm_exec_connections
WHERE session_id = @@SPID;
-- How many current sessions are unencrypted
SELECT encrypt_option, COUNT(*) AS sessions
FROM sys.dm_exec_connections
GROUP BY encrypt_option;If encrypt_option is FALSE for most sessions, plan the certificate work before you roll out a new client — you will be editing every connection profile once, so do it once.
Which should you install today?
If you are on Windows and administer SQL Server: SSMS. It is supported, it is the only tool with the full administration surface, and the 64-bit Visual Studio shell version fixed the memory limits that used to make large scripting jobs fail.
If you are on Windows and mostly write queries: SSMS or the VS Code MSSQL extension, whichever matches where you already work.
If you are on macOS or Linux: a cross-platform client, because SSMS is not available and Azure Data Studio is no longer supported. Chat2DB, DBeaver, DataGrip and TablePlus all connect to SQL Server, Azure SQL Database and Azure SQL Managed Instance natively.
If you have a mixed estate of SQL Server plus PostgreSQL, MySQL or MongoDB: a general database client, so you are not switching tools per engine. This was always the weakest spot for both SSMS and Azure Data Studio.
Summary
The 2026 answer to Azure Data Studio vs SSMS is that only one of them is still supported. SSMS remains the complete SQL Server administration tool and remains Windows-only. Azure Data Studio's cross-platform query editing and notebooks now need a home elsewhere: the VS Code MSSQL extension if you stay in the Microsoft toolchain on Windows, a cross-platform database client if you work on a Mac or Linux or manage more than one engine. Convert notebooks to scripts or Jupyter while ADS is still installed, and keep one Windows machine with SSMS for the wizard-driven administration nothing else replicates.