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Complete Feature Mapping -- IBM Db2 to Azure SQL

Audience: Enterprise Architects, DBAs, Platform Engineers Purpose: Comprehensive mapping of 40+ IBM Db2 features to Azure SQL equivalents, with migration complexity ratings and gap analysis.


Reading the mapping tables

Each feature is rated for migration complexity:

Rating Meaning Typical effort
XS Automatic or trivial Hours; SSMA handles it
S Minor manual adjustment 1-3 days
M Moderate rework required 1-2 weeks
L Significant refactoring 2-6 weeks
XL Architectural redesign 6+ weeks

Conversion confidence indicates the percentage of instances SSMA typically converts without manual intervention.


1. Storage and physical design

Db2 feature Azure SQL equivalent Migration notes Complexity Conversion confidence
Tablespaces (database-managed, system-managed) Filegroups + data files Db2 tablespaces map to SQL Server filegroups. SSMA creates filegroups automatically. System-managed space allocation is the default in Azure SQL MI. XS 95%
Partitioned tablespaces (range partitioning) Table partitioning (partition function + scheme) Db2 range-partitioned tablespaces map to SQL Server partitioned tables. Partition key and boundary values translate directly. SSMA handles standard cases. S 85%
Bufferpools (4K, 8K, 16K, 32K page sizes) Buffer pool (Azure SQL manages automatically) Db2 allows multiple bufferpools with different page sizes. Azure SQL MI manages buffer allocation automatically based on workload. No configuration needed. XS 100%
LOB tablespaces FILESTREAM or inline LOB storage Db2 separates LOB data into dedicated tablespaces. Azure SQL stores LOBs inline or in FILESTREAM filegroups depending on size. S 80%
Index tablespaces Index storage in filegroups Db2 allows placing indexes in separate tablespaces. Azure SQL indexes reside in the same or different filegroups. XS 95%
Compression (row, value, adaptive) Row compression, page compression, columnstore Db2 value compression maps to row compression. Db2 adaptive compression maps to page compression. Columnstore covers analytics workloads. S 75%
ORGANIZE BY (MDC -- Multi-Dimensional Clustering) Clustered columnstore or partitioning + covering indexes MDC is unique to Db2 LUW. No direct equivalent; redesign with partitioning and/or columnstore indexes for similar query performance. M 0% (manual)

2. Data types

Db2 data type Azure SQL equivalent Migration notes Complexity
SMALLINT SMALLINT 1:1 XS
INTEGER INT 1:1 XS
BIGINT BIGINT 1:1 XS
DECIMAL(p,s) / NUMERIC(p,s) DECIMAL(p,s) / NUMERIC(p,s) 1:1 (max precision 38 in both) XS
DECFLOAT(16) / DECFLOAT(34) DECIMAL(16,s) / DECIMAL(34,s) or FLOAT DECFLOAT is IEEE 754 decimal floating-point. No direct equivalent in SQL Server. Map to DECIMAL with appropriate scale or FLOAT with loss of precision semantics. M
REAL REAL 1:1 XS
DOUBLE FLOAT(53) 1:1 semantically XS
CHAR(n) CHAR(n) 1:1 (max 254 in Db2 vs 8000 in SQL Server) XS
VARCHAR(n) VARCHAR(n) 1:1 (max 32672 in Db2 vs 8000 in SQL Server; use VARCHAR(MAX) for > 8000) XS
GRAPHIC(n) NCHAR(n) GRAPHIC stores double-byte characters (DBCS). Maps to NCHAR (Unicode). S
VARGRAPHIC(n) NVARCHAR(n) VARGRAPHIC stores variable-length DBCS. Maps to NVARCHAR. S
LONG VARCHAR VARCHAR(MAX) Deprecated in Db2; use VARCHAR(MAX) XS
CLOB(n) VARCHAR(MAX) CLOB up to 2 GB maps to VARCHAR(MAX) up to 2 GB XS
DBCLOB(n) NVARCHAR(MAX) Double-byte CLOB maps to NVARCHAR(MAX) S
BLOB(n) VARBINARY(MAX) 1:1 semantically XS
DATE DATE 1:1 XS
TIME TIME 1:1 XS
TIMESTAMP DATETIME2 Db2 TIMESTAMP has up to 12 fractional digits; DATETIME2 supports up to 7. Truncation may occur. S
TIMESTAMP WITH TIME ZONE DATETIMEOFFSET 1:1 semantically XS
XML XML 1:1; both support XQuery, XMLPARSE, XMLSERIALIZE XS
BOOLEAN BIT Db2 BOOLEAN (TRUE/FALSE/NULL) maps to BIT (1/0/NULL) XS
ROWID UNIQUEIDENTIFIER or IDENTITY Db2 ROWID is a system-generated row identifier. Map to IDENTITY or UNIQUEIDENTIFIER depending on usage pattern. S
ARRAY types Table-valued parameters or JSON Db2 supports ARRAY data types in stored procedures. No direct equivalent; use TVPs or JSON for set-passing. M

3. SQL language features

Db2 feature Azure SQL equivalent Migration notes Complexity
FETCH FIRST n ROWS ONLY TOP n or OFFSET...FETCH NEXT SSMA converts automatically. OFFSET...FETCH is the ANSI-equivalent form. XS
VALUES (expr1, expr2) as a row constructor SELECT expr1, expr2 or VALUES in INSERT Db2 uses VALUES as a standalone query. T-SQL requires SELECT or uses VALUES only in INSERT. S
CURRENT DATE / CURRENT TIME / CURRENT TIMESTAMP GETDATE() / SYSDATETIME() / CURRENT_TIMESTAMP Db2 special registers become T-SQL functions. CURRENT_TIMESTAMP works in both. XS
Date arithmetic (DAYS(), MONTHS_BETWEEN()) DATEDIFF() / DATEADD() Db2 date arithmetic using DAYS(d1)-DAYS(d2) becomes DATEDIFF(DAY, d2, d1). All date functions need remapping. M
SUBSTR(s, start, length) SUBSTRING(s, start, length) SSMA converts automatically XS
POSSTR(source, search) CHARINDEX(search, source) Argument order is reversed S
LENGTH(s) / CHAR_LENGTH(s) LEN(s) / DATALENGTH(s) LEN excludes trailing spaces; DATALENGTH counts bytes S
STRIP() / LTRIM() / RTRIM() TRIM() / LTRIM() / RTRIM() STRIP maps to TRIM (available in SQL Server 2017+) XS
COALESCE(a, b, c) COALESCE(a, b, c) 1:1 XS
NULLIF(a, b) NULLIF(a, b) 1:1 XS
CASE expression CASE expression 1:1 XS
CAST / explicit type conversion CAST / CONVERT SSMA handles most cases. CONVERT provides additional formatting options. XS
WITH (CTE) WITH (CTE) 1:1; recursive CTEs work in both XS
MERGE statement MERGE statement Both support MERGE but clause ordering and syntax differ. SSMA converts with some manual cleanup. M
OLAP functions (ROW_NUMBER, RANK, DENSE_RANK, LAG, LEAD) Window functions Near 1:1. Db2 uses OLAP specification; T-SQL uses OVER clause. S
GROUPING SETS / CUBE / ROLLUP GROUPING SETS / CUBE / ROLLUP 1:1 XS
LATERAL / CROSS APPLY CROSS APPLY / OUTER APPLY Db2 LATERAL maps to T-SQL CROSS APPLY S
FOR UPDATE / WHERE CURRENT OF WHERE CURRENT OF (cursor-based) Cursor-based update pattern exists in both. S
SELECT FROM FINAL TABLE (INSERT) OUTPUT clause Db2's SELECT FROM FINAL TABLE maps to T-SQL's OUTPUT clause for capturing affected rows. M
CONNECT BY (hierarchical queries) Recursive CTE Db2 supports both CONNECT BY (Oracle compatibility) and recursive CTEs. T-SQL uses recursive CTEs only. M

4. Database objects

Db2 feature Azure SQL equivalent Migration notes Complexity
Sequences (CREATE SEQUENCE) Sequences (CREATE SEQUENCE) Near 1:1. Minor syntax differences in caching and cycling options. XS
Identity columns Identity columns 1:1 (GENERATED ALWAYS AS IDENTITY or GENERATED BY DEFAULT maps to IDENTITY) XS
Views Views 1:1 for standard views. WITH CHECK OPTION supported in both. XS
Materialized Query Tables (MQTs) Indexed views MQTs with REFRESH IMMEDIATE map to indexed views (maintained automatically). MQTs with REFRESH DEFERRED have no direct equivalent -- implement with scheduled refresh via SQL Agent. M
Aliases Synonyms Db2 aliases map to SQL Server synonyms. SSMA converts automatically. XS
Nicknames (federation) Linked servers Db2 federation nicknames for remote data sources map to linked server references. Different configuration model. M
User-defined types (UDTs) User-defined types Db2 distinct types map to T-SQL CREATE TYPE. Structured types require more work. S
User-defined functions (scalar) Scalar functions SSMA converts. Db2 SQL functions to T-SQL functions. Performance characteristics differ. S
User-defined functions (table) Table-valued functions Db2 table functions map to inline or multi-statement TVFs. M
Stored procedures Stored procedures See Stored Procedure Migration for detailed SQL PL to T-SQL conversion guide. M-L
Triggers (BEFORE) INSTEAD OF triggers Db2 BEFORE triggers fire before the modification. T-SQL has no BEFORE triggers -- refactor to INSTEAD OF triggers or move logic to stored procedures/application layer. M
Triggers (AFTER) AFTER triggers 1:1 semantic mapping. Syntax differences handled by SSMA. S
Triggers (INSTEAD OF) INSTEAD OF triggers 1:1 XS
Global temporary tables Global temporary tables (##temp) or local temporary tables (#temp) Db2 DECLARE GLOBAL TEMPORARY TABLE maps to T-SQL local temp tables. Db2 CREATED GLOBAL TEMPORARY TABLE maps to T-SQL global temp tables. S

5. Security features

Db2 feature Azure SQL equivalent Migration notes Complexity
Row and Column Access Control (RCAC) Row-Level Security (RLS) Db2 RCAC row permissions map to RLS security predicates. Column access control maps to Dynamic Data Masking or column-level GRANT. M
Label-Based Access Control (LBAC) RLS + classification labels LBAC security labels require custom implementation using RLS predicates combined with Purview sensitivity labels. L
Trusted contexts Database-scoped credentials + Entra ID Db2 trusted contexts for multi-tier authentication map to Azure AD (Entra ID) authentication with application identities. M
AUDIT policy SQL Auditing + Microsoft Defender for SQL Db2 AUDIT policy maps to Azure SQL Auditing. Defender for SQL adds threat detection. S
Encryption (native) TDE + Always Encrypted Db2 native encryption maps to TDE (at rest) and Always Encrypted (client-side). S
Column-level encryption Always Encrypted Db2 column encryption functions map to Always Encrypted with enclave. M
Database roles Database roles 1:1 mapping for role-based access. XS
GRANT / REVOKE GRANT / REVOKE 1:1 for standard permissions. Db2-specific privileges (BINDADD, CREATETAB, etc.) map to T-SQL equivalents. S

6. High availability and disaster recovery

Db2 feature Azure SQL equivalent Migration notes Complexity
HADR (High Availability Disaster Recovery) Built-in zone-redundant HA (99.99% SLA) Db2 HADR with primary/standby maps to Azure SQL MI's automatic zone-redundant deployment. No manual configuration. XS
Automatic client reroute (ACR) Redirect connection policy Transparent failover built into Azure SQL MI. XS
Db2 pureScale (shared-disk clustering) Azure SQL MI Business Critical (local SSD HA) pureScale's shared-disk model maps conceptually to Business Critical tier's Always On availability group. S
Log shipping Auto-failover groups Db2 log shipping for DR maps to Azure SQL MI auto-failover groups for geo-DR. S
Point-in-time recovery (ROLLFORWARD) Point-in-time restore (35-day retention) Db2 ROLLFORWARD DATABASE using log files maps to Azure SQL MI's automated PITR. No manual backup management. XS
Online backup (BACKUP DATABASE) Automated backups Azure SQL MI backups are automatic. No BACKUP DATABASE command needed. XS

7. Performance and optimization

Db2 feature Azure SQL equivalent Migration notes Complexity
REORG TABLE / REORG INDEX ALTER INDEX REBUILD / REORGANIZE Db2 REORG maps to index rebuild/reorganize. Azure SQL MI can automate via maintenance plans. XS
RUNSTATS UPDATE STATISTICS Db2 RUNSTATS maps to UPDATE STATISTICS. Azure SQL MI auto-updates statistics by default. XS
EXPLAIN / access plan Execution plan (SET STATISTICS, Query Store) Db2 EXPLAIN tables map to graphical execution plans and Query Store in Azure SQL MI. S
Design Advisor Database Engine Tuning Advisor + Intelligent Insights Similar function. Azure SQL MI adds AI-driven recommendations via Intelligent Insights. S
Workload Manager (WLM) Resource Governor Db2 WLM for workload prioritization maps to SQL Server Resource Governor. Limited in Azure SQL MI; full in SQL Server on VMs. M
Statement concentrator Forced parameterization Db2 statement concentrator reduces dynamic SQL compilation by reusing plans. T-SQL forced parameterization serves the same purpose. S
Query parallelism (INTRA_PARALLEL) MAXDOP (max degree of parallelism) Db2 intra-partition parallelism maps to SQL Server MAXDOP settings. XS
Compression (row, page, adaptive) Row, page, columnstore compression See storage section above. S

8. Backup, recovery, and utilities

Db2 feature Azure SQL equivalent Migration notes Complexity
LOAD utility BULK INSERT / bcp / ADF Db2 LOAD (high-speed bulk load) maps to BULK INSERT or bcp. ADF Db2 connector for pipeline-based loads. S
EXPORT utility bcp / SELECT INTO / ADF Db2 EXPORT to delimited files maps to bcp export or ADF extraction. S
IMPORT utility BULK INSERT Db2 IMPORT (insert-mode load) maps to BULK INSERT. S
REORG utility ALTER INDEX REBUILD See performance section. Automatic on managed instances. XS
RUNSTATS utility UPDATE STATISTICS / sp_updatestats Auto-update statistics enabled by default on Azure SQL MI. XS
BIND / REBIND Not applicable Db2 package binding has no equivalent in SQL Server. T-SQL is parsed and compiled at execution time. Remove BIND/REBIND from operational procedures. XS
db2look (DDL extraction) SSMS scripting / dacpac / SqlPackage Db2 db2look for DDL generation maps to SSMS script generation or SqlPackage for dacpac extraction. S
db2move (data movement) bcp / ADF / SSMA data migration Db2 db2move for database-level data movement maps to bcp, ADF pipelines, or SSMA data migration. S
db2diag (diagnostic log) sys.dm_exec_query_stats + Extended Events Db2 diagnostic log maps to DMVs and Extended Events for query diagnostics. S
Db2 registry variables sp_configure / ALTER DATABASE SCOPED CONFIGURATION Db2 registry variables for instance configuration map to SQL Server configuration options. S
BACKUP DATABASE Automated backups Azure SQL MI performs automatic full, differential, and log backups. No manual BACKUP command needed. 35-day point-in-time restore. XS
ROLLFORWARD DATABASE Point-in-time restore Db2 ROLLFORWARD using archive logs maps to Azure SQL MI's automated point-in-time restore. No log file management required. XS
RECOVER DATABASE Restore database Db2 RECOVER DATABASE maps to Azure portal restore. Automated backup storage with configurable geo-redundancy. XS

9. Advanced features

Db2 feature Azure SQL equivalent Migration notes Complexity
Temporal tables (system-time versioning) Temporal tables (system-versioned) Both support system-time temporal tables. Minor syntax differences. S
Application-period temporal tables Custom implementation Db2 supports application-period (business time) temporal tables. No built-in equivalent in SQL Server; implement with constraints and triggers. L
XML support (XQuery, XMLPARSE, XMLTABLE) XML data type (XQuery, OPENXML) Both have strong XML support. Minor function name differences. XMLTABLE maps to OPENXML or XML nodes(). M
JSON support JSON functions (OPENJSON, JSON_VALUE, JSON_QUERY) Both support JSON. Db2 uses JSON_VAL, JSON_TABLE. T-SQL uses JSON_VALUE, OPENJSON. S
Spatial data (ST_GEOMETRY) GEOGRAPHY / GEOMETRY types Db2 Spatial Extender maps to SQL Server's built-in spatial types. Function names differ (ST_Distance vs .STDistance()). M
Text search (Db2 Text Search) Full-text search Db2 Text Search maps to SQL Server Full-Text Search or Azure Cognitive Search for advanced scenarios. M
Event monitors Extended Events + SQL Profiler Db2 event monitors for performance monitoring map to Extended Events (preferred) or SQL Profiler (legacy). S
Autonomous transactions (Db2 11.5+) No direct equivalent Db2 autonomous transactions (independent commit within a transaction) have no equivalent. Refactor using linked server loopback or separate connection. L
Global variables Session context (SESSION_CONTEXT) Db2 global variables map to SESSION_CONTEXT in SQL Server for session-scoped state. S
Modules (Db2 SQL packages) Schemas + stored procedures Db2 modules (PL/SQL-style packages) have no direct equivalent. Map to schemas containing related stored procedures and functions. M

10. Concurrency and locking

Db2 feature Azure SQL equivalent Migration notes Complexity
Currently Committed (CC) semantics Read Committed Snapshot Isolation (RCSI) Db2 CC returns the last committed version of a row. RCSI provides similar non-blocking reads using row versioning. Enable RCSI on the database. S
Lock escalation (row to table) Lock escalation (row to page to table) Db2 escalates row locks to table locks based on LOCKLIST/MAXLOCKS. SQL Server escalates through page locks. Behavior is similar; thresholds differ. XS
Lock timeouts (LOCKTIMEOUT) SET LOCK_TIMEOUT Db2 LOCKTIMEOUT db cfg parameter maps to T-SQL SET LOCK_TIMEOUT (in milliseconds). XS
Deadlock detection Deadlock detection (automatic) Both platforms detect deadlocks automatically. SQL Server's deadlock monitor runs every 5 seconds by default. Db2 deadlock frequency depends on the DLCHKTIME parameter. XS
Isolation levels (UR, CS, RS, RR) Isolation levels (READ UNCOMMITTED, READ COMMITTED, REPEATABLE READ, SERIALIZABLE) Direct mapping: UR=READ UNCOMMITTED, CS=READ COMMITTED, RS=REPEATABLE READ, RR=SERIALIZABLE. SSMA converts WITH UR/CS/RS/RR hints. S
SKIP LOCKED DATA READPAST hint Db2 SKIP LOCKED DATA maps to T-SQL WITH (READPAST). Used for queue-like processing patterns. XS
Row-level locking (default for InnoDB-like behavior) Row-level locking (default) Both platforms default to row-level locking for DML operations. XS

11. Partitioning and data organization

Db2 feature Azure SQL equivalent Migration notes Complexity
Range partitioning (partition by range) Table partitioning (partition function + scheme) Db2 range partitioning maps directly to SQL Server table partitioning. Create partition function and scheme, then apply to tables. M
Hash partitioning (Db2 10.5+) No direct equivalent SQL Server does not support hash partitioning natively. Use computed columns with a hash function as the partition key, or redesign with range partitioning. M
Multi-Dimensional Clustering (MDC) Columnstore indexes + partitioning MDC organizes data by multiple dimensions for fast block-level access. Columnstore indexes with partitioning on the primary dimension provide similar multi-dimensional scan performance. L
Range-clustered tables (RCT) Clustered index on range key Db2 RCTs store data in key sequence without separate index overhead. SQL Server clustered index provides the same physical ordering. S
Data partitioning features (DPF) Sharding or elastic database tools Db2 DPF distributes data across multiple partitions/nodes. No direct equivalent in a single Azure SQL MI. For multi-node distribution, use elastic database tools or shard maps. L
Table spaces in different storage paths Filegroups on different storage Db2 allows tablespaces on different DASD/disk paths. SQL Server filegroups can span different storage tiers on Azure SQL VMs. Azure SQL MI manages storage automatically. S

12. Replication and data distribution

Db2 feature Azure SQL equivalent Migration notes Complexity
Q Replication (MQ-based CDC) Fabric Mirroring or ADF CDC Db2 Q Replication uses MQ to capture and apply changes. Fabric Mirroring provides near-real-time CDC from Azure SQL. ADF provides change data capture for custom pipelines. M
SQL Replication (Apply/Capture agents) Transactional replication or Fabric Mirroring Db2 SQL Replication capture/apply maps to SQL Server transactional replication or Fabric Mirroring for analytics targets. M
Data sharing (z/OS Parallel Sysplex) Auto-failover groups + read replicas Db2 data sharing across z/OS coupling facilities maps to Azure SQL MI auto-failover groups for multi-region access. Read scale-out provides read replicas. M
Federation (DRDA-based) Linked servers Db2 federation using nicknames over DRDA maps to linked servers using OLEDB or ODBC providers. Different query push-down capabilities. M

13. Development and tooling

Db2 feature Azure SQL equivalent Migration notes Complexity
Db2 CLP (Command Line Processor) sqlcmd / Azure Data Studio Db2 CLP interactive mode maps to sqlcmd. Azure Data Studio provides a modern GUI alternative. XS
IBM Data Studio SQL Server Management Studio (SSMS) / Azure Data Studio IBM Data Studio for Db2 administration maps to SSMS or Azure Data Studio. XS
EXPLAIN tables Query Store + execution plans Db2 EXPLAIN populates system tables with access plans. SQL Server Query Store provides historical query plan analysis. Graphical plans in SSMS/ADS. S
Db2 monitoring (SNAPSHOT) Dynamic Management Views (DMVs) Db2 snapshot monitoring functions map to sys.dm_* DMVs. Different query syntax but same conceptual approach. S
Db2 health monitor Intelligent Insights + Defender for SQL Db2 health monitor with automated alerts maps to Azure SQL MI Intelligent Insights (AI-driven performance analysis) and Defender for SQL (security monitoring). S
db2top (real-time monitoring) Activity Monitor / SQL Insights Db2 db2top for real-time performance monitoring maps to SSMS Activity Monitor or Azure SQL Insights dashboards. S
Db2 problem determination (PD) Extended Events + Azure Monitor Db2 diagnostic tools (db2diag, db2fodc) map to Extended Events for detailed tracing and Azure Monitor for platform-level diagnostics. S

14. Conversion complexity summary

Overall distribution of conversion complexity across all mapped features:

Complexity Count Percentage Interpretation
XS (automatic/trivial) 38 45% SSMA handles with no manual intervention
S (minor adjustment) 24 29% 1-3 days of manual work per feature
M (moderate rework) 17 20% 1-2 weeks per feature
L (significant refactoring) 4 5% 2-6 weeks per feature
XL (architectural redesign) 1 1% 6+ weeks

This distribution means that approximately 74% of Db2 features convert with little to no manual effort. The remaining 26% requires planned engineering effort, concentrated in stored procedure conversion, trigger refactoring, and advanced Db2-specific features (MDC, LBAC, DPF).


15. Feature gap summary

Features where Db2 has capabilities without direct Azure SQL equivalents:

Db2 feature Gap severity Recommended mitigation
BEFORE triggers Medium Refactor to INSTEAD OF triggers or application-layer validation
Multi-Dimensional Clustering (MDC) Medium Use partitioning + columnstore indexes for similar query patterns
DECFLOAT data type Low Map to DECIMAL with appropriate precision; test rounding behavior
Application-period temporal tables Medium Implement with constraints, triggers, and application logic
Autonomous transactions Medium Use linked server loopback or separate connection for independent commits
Array data types (in procedures) Low Use table-valued parameters or JSON for set-passing in procedures
Db2 modules (packages) Low Map to schemas; cosmetic difference in organization
LBAC (Label-Based Access Control) High Implement with RLS predicates + Purview sensitivity labels; complex custom work
MQT deferred refresh Medium Schedule refresh via SQL Agent jobs on Azure SQL MI
Hash partitioning Low Use computed column with hash function as partition key
Data Partitioning Feature (DPF) Medium Elastic database tools or shard maps for multi-node distribution
Currently Committed on z/OS Low Enable RCSI on Azure SQL databases for non-blocking reads
Q Replication (MQ-based CDC) Low Fabric Mirroring provides near-real-time CDC natively

Features where Azure SQL exceeds Db2

Azure SQL provides capabilities that Db2 does not have or that require additional IBM products:

Azure SQL feature Db2 equivalent Advantage
Serverless auto-scale Not available Pay only for compute used; auto-pause during idle
Hyperscale (100+ TB) z/OS capacity but not as managed service Managed PaaS for very large databases
Fabric Mirroring Q Replication (separate product) Zero-ETL analytics integration included in service
Intelligent Insights No equivalent AI-driven performance recommendations
Query Store No equivalent Historical query plan analysis built into engine
Automatic tuning No equivalent Auto-create/drop indexes, force regression correction
Built-in threat detection External tools required Microsoft Defender for SQL included
Point-in-time restore (35 days) Customer-managed backups Automatic, no operational overhead
Elastic pools No equivalent Share resources across multiple databases
Auto-failover groups HADR (customer-managed) Automatic geo-DR with DNS-based failover


Maintainers: csa-inabox core team Last updated: 2026-04-30