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Microsoft SQL Server 2017 Enterprise

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MSSQLSERV2017ENT
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Microsoft SQL Server 2017 Enterprise Edition

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Overview:
1. Edition: Microsoft SQL Server 2017 (Standard / Enterprise / Express / Developer)
2. Release Date: October 2, 2017
3. Supported Platforms: Windows, Linux, and Docker containers
4. License Model: Core-based or Server + CAL
5. Main Focus: Cross-platform support, adaptive query performance, and built-in AI integration

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⚙️ Core Database Engine Features

Feature Description
Cross-Platform Support First SQL Server version to run on Windows, Linux, and in Docker containers.
Adaptive Query Processing Automatically adjusts execution plans for changing workloads — improving performance without manual tuning.
Automatic Plan Correction Detects and fixes query performance regressions automatically.
Resumable Online Index Rebuilds Enables pausing/resuming of index rebuilds to reduce downtime during maintenance.
Graph Database Support Introduces node and edge tables for modeling complex relationships like social networks or hierarchies.
String Aggregation (STRING_AGG) Simplifies text concatenation in SQL queries.
JSON Support Store, query, and format JSON data natively.
Temporal Tables Keep a full history of data changes for auditing or version tracking.
Query Store Tracks query performance history and helps troubleshoot regressions.
Dynamic Data Masking (DDM) Protects sensitive data by masking it from unauthorized users.
Row-Level Security (RLS) Restricts data access based on user identity or role.
Always Encrypted Protects sensitive data at rest and in transit.
Stretch Database Migrate historical data transparently to Azure for lower-cost storage.
Table-Valued Parameters & JSON Functions Improved developer flexibility for app integration.

Security and Compliance

Feature Description
Always Encrypted Data remains encrypted during computation and transmission.
Row-Level Security (RLS) Granular control over which users can access specific data rows.
Dynamic Data Masking (DDM) Masks sensitive data in real time based on user privileges.
Backup Encryption Ensures secure data backups with encryption algorithms.
Auditing Enhancements Improved tracking of user and system activity.
Azure Active Directory Authentication Secure authentication for hybrid and cloud environments.

Performance and Scalability

Feature Description
Adaptive Query Processing (AQP) Dynamically adjusts execution plans to optimize performance.
Automatic Database Tuning Self-corrects query performance issues automatically.
In-Memory OLTP (Memory-Optimized Tables) Boosts transaction throughput for high-concurrency workloads.
Columnstore Indexes Enables high compression and fast analytic queries.
Query Store Tracks and optimizes query performance over time.
Persistent Memory (NVDIMM) Support Faster transaction logging and checkpointing.
Buffer Pool Extension Uses SSDs to expand memory cache.

High Availability and Disaster Recovery (HA/DR)

Feature Description
Basic Availability Groups (Standard Edition) Offers HA with 2 replicas and automatic failover.
Always On Availability Groups (Enterprise) Up to 8 replicas with advanced failover support.
Automatic Seeding Automatically initializes secondary replicas.
Cross-Platform Replication (Linux ↔ Windows) Replication supported across operating systems.
Online Index Rebuilds Perform index maintenance without downtime.
Backup to Azure Simplified offsite backup to Microsoft Azure.

Business Intelligence and Data Analytics

Feature Description
SQL Server Reporting Services (SSRS) Modern web-based report portal with KPIs and mobile reports.
SQL Server Analysis Services (SSAS) Tabular models upgraded to 1400 compatibility level (faster DAX and memory efficiency).
SQL Server Integration Services (SSIS) Supports deployment to Linux and integration with Azure Data Factory.
R & Python Integration (Machine Learning Services) Run advanced analytics and machine learning directly inside SQL Server.
PolyBase (External Data Access) Query external data sources (Hadoop, Oracle, Azure Blob, etc.) using T-SQL.
Data Quality Services (DQS) Cleansing and matching data using rules and reference data.

☁️ Cloud Integration and Hybrid Features

Feature Description
Backup to Microsoft Azure Natively back up databases to Azure Storage.
Stretch Database to Azure Migrate cold data to Azure for cost savings.
Integration with Azure SQL Database Seamless migration and hybrid scenarios.
Azure Active Directory Authentication Integrated identity management for cloud and on-premises.
Docker & Container Deployment SQL Server 2017 can run as a container for cloud-native workloads.

Developer and Programmability Features

Feature Description
Cross-Platform Development Works on Windows, Linux, and Docker for maximum flexibility.
Support for Multiple Languages Native execution of R and Python for AI/ML.
New T-SQL Enhancements Includes TRIM, CONCAT_WS, STRING_AGG, and TRANSLATE.
CLR Integration Common Language Runtime for .NET code execution inside SQL Server.
Graph Extensions Model many-to-many relationships using nodes and edges.
JSON Support Parse and format JSON directly in T-SQL.
Linux Command-Line Tools Includes sqlcmd and bcp utilities for Linux environments.

System Requirements (Minimum)

Component Requirement
CPU x64 processor (1.4 GHz or faster)
Memory (Min) 4 GB (recommended 8 GB+)
Disk Space 6 GB minimum for installation
Supported OS Windows Server 2012 R2 or later, or major Linux distros (Red Hat, Ubuntu, SUSE)
.NET Framework 4.6 or later (Windows only)
Architecture 64-bit only

Key Improvements Over SQL Server 2016

Area Improvement
Platform Added full Linux and Docker support.
Performance Introduced Adaptive Query Processing & Automatic Tuning.
Analytics Added Python integration (Machine Learning Services).
Database Engine Added Graph Data support and resumable index rebuilds.
T-SQL Introduced new functions (STRING_AGG, TRIM, TRANSLATE).
High Availability Enhanced Always On AGs with cross-platform replication.

 In Summary — SQL Server 2017 Highlights

  • Cross-platform (Windows, Linux, Docker)

  • Adaptive Query Processing for smarter performance

  • Graph Database capabilities

  • Machine Learning with R and Python

  • PolyBase for querying external data

  • Improved HA/DR and cloud integration

  • Advanced security (RLS, DDM, Always Encrypted)

Microsoft SQL Server 2017 – Standard vs Enterprise Edition (Full Technical Comparison)

Category SQL Server 2017 Standard Edition SQL Server 2017 Enterprise Edition
Release Date October 2017 October 2017
Supported Platforms Windows & Linux Windows & Linux
Licensing Model Core-based or Server + CAL Core-based only
Target Audience Small to medium businesses Large enterprises, mission-critical workloads

⚙️ Core Database Engine

Feature Standard Edition Enterprise Edition
Max Compute Capacity (SQL Engine) Lesser of 4 sockets or 24 cores OS maximum (no limit)
Max Compute Capacity (Analysis/Reporting) Lesser of 4 sockets or 24 cores OS maximum
Max Memory (Database Engine) 128 GB OS maximum
Max Memory (Columnstore Cache) 32 GB OS maximum
Max Memory (SSAS) 16 GB per instance OS maximum
Max Database Size 524 PB 524 PB
Maximum Instances per Server 50 50
In-Memory OLTP (Memory-Optimized Tables) Limited (32 GB per DB) Full support
Table Partitioning
Data Compression (Row, Page)
Columnstore Indexes ✅ (Nonclustered only) ✅ (Clustered & Nonclustered)
In-Memory Columnstore Limited Full
Table/Index Rebuild (Resumable)
Temporal Tables
Query Store
Automatic Plan Correction
Adaptive Query Processing ✅ (basic) ✅ (full)
PolyBase (Query External Data) ✅ (limited connectors) ✅ (all connectors, including Hadoop, Oracle, Teradata)
Graph Database
JSON Support
CLR Integration
Stretch Database to Azure
Dynamic Data Masking (DDM)
Row-Level Security (RLS)

Security and Compliance

Feature Standard Edition Enterprise Edition
Authentication (Windows, SQL, Azure AD)
Always Encrypted
Row-Level Security (RLS)
Dynamic Data Masking (DDM)
Transparent Data Encryption (TDE)
Backup Encryption
Auditing (Basic)
Fine-Grained Auditing
Extensible Key Management (EKM)
Column-Level Encryption
Secure Enclaves (Always Encrypted Enhanced) ❌ (introduced later in 2019)
Compliance Certifications (FIPS, Common Criteria)

Performance and Scalability

Feature Standard Edition Enterprise Edition
Query Store
Automatic Tuning ✅ (limited) ✅ (advanced)
Adaptive Query Processing ✅ (batch mode) ✅ (full)
Batch Mode on Rowstore
Table Variable Deferred Compilation
Scalar UDF Inlining
Parallel Query Execution ✅ (limited) ✅ (unlimited)
Resource Governor
Buffer Pool Extension (SSD caching)
Persistent Memory (PMEM) Support
Advanced Read-Ahead Optimization
Fast Query Execution (IQP) Partial Full
Lockless Columnstore Operations
Partitioned Table Parallelism
Advanced Indexing (Filtered, Compressed, Online)

High Availability (HA) & Disaster Recovery (DR)

Feature Standard Edition Enterprise Edition
Failover Cluster Instance (FCI) ✅ (2 nodes max) ✅ (unlimited nodes)
Basic Availability Groups ✅ (2 replicas, 1 DB) ✅ (8 replicas, multiple DBs)
Distributed Availability Groups
Readable Secondaries
Automatic Page Repair
Online Index Rebuilds ✅ (resumable) ✅ (full online rebuild)
Online Page & File Restore
Hybrid Backup to Azure
Database Snapshot
Database Mirroring (Deprecated)
Log Shipping
Accelerated Database Recovery (ADR)  (added in SQL 2019)

Business Intelligence (BI) & Data Analytics

Feature Standard Edition Enterprise Edition
SQL Server Reporting Services (SSRS)
SQL Server Analysis Services (SSAS) ✅ (Tabular models up to 16 GB) ✅ (Full Tabular + Multidimensional)
Power BI Report Server Integration Optional Optional
Data Mining
Advanced DAX Functions (SSAS)
DirectQuery Mode (SSAS)
In-Memory Analytics (VertiPaq)
Integration Services (SSIS)
SSIS Scale-Out Master/Worker
Machine Learning Services (R & Python) ✅ (1 concurrent user per instance) ✅ (multi-user concurrent execution)
PolyBase (Data Virtualization) ✅ (limited) ✅ (full)
Data Quality Services (DQS)
Master Data Services (MDS)

☁️ Cloud and Hybrid Integration

Feature Standard Edition Enterprise Edition
Backup to Azure
Database Files in Azure
Stretch Database
Azure Active Directory Authentication
PolyBase for External Data ✅ (basic) ✅ (full)
Integration with Azure Data Factory
Linked Servers / External Tables
Always On AG to Azure VM
Cloud Witness for Failover

Developer and Programmability Features

Feature Standard Edition Enterprise Edition
Transact-SQL (T-SQL)
Common Language Runtime (CLR)
Graph Tables (Nodes & Edges)
JSON Support
Stored Procedures, Views, Triggers
Dynamic Management Views (DMVs) Partial Full
Extended Events
Service Broker
Change Data Capture (CDC)
Change Tracking
Replication (Snapshot, Transactional)
Peer-to-Peer Replication
Linked Servers
CLR Integration

System Requirements (Minimum)

Component Standard Edition Enterprise Edition
Processor (CPU) x64, 1.4 GHz or faster x64, 1.4 GHz or faster
Memory (Min) 4 GB (8 GB recommended) 4 GB (16 GB+ recommended)
Disk Space 6 GB 6 GB
Operating System Windows Server 2012 R2+ / Linux Windows Server 2012 R2+ / Linux
.NET Framework 4.6+ 4.6+
Architecture 64-bit only 64-bit only

Key Advantages of Enterprise Edition Over Standard

Area Enterprise Advantage
Performance & Scalability Unlimited CPU & RAM, partitioning, compression, resource governor
Security Transparent Data Encryption (TDE), fine-grained auditing
High Availability Multi-database, multi-replica Always On AG, distributed AG, online restore
Analytics Advanced SSAS, in-memory BI, Master Data Services
Data Management Change Data Capture (CDC), peer-to-peer replication
In-Memory Performance Full In-Memory OLTP & Columnstore
BI & ML Unlimited parallel R/Python execution
Operational Efficiency Online index rebuilds, resource governance, partition switching

 Summary – SQL Server 2017 Edition Comparison

Category Standard Edition Enterprise Edition
Best For Mid-tier applications, departmental databases Mission-critical workloads, enterprise-scale analytics
Max Cores 24 Unlimited
Max RAM 128 GB Unlimited
High Availability Basic AG (2 replicas) Always On AG (8 replicas, distributed)
Security Advanced (no TDE) Enterprise-grade (TDE, full auditing)
Performance Strong Maximum
BI/Analytics Core BI Full BI, Data Mining, MDS
Machine Learning Limited concurrency Multi-user, scalable
Licensing Core or Server + CAL Core-only

Microsoft SQL Server Enterprise Editions: 2016 vs 2017 vs 2019 vs 2022

Category SQL Server 2016 Enterprise SQL Server 2017 Enterprise SQL Server 2019 Enterprise SQL Server 2022 Enterprise
Release Date June 2016 October 2017 November 2019 November 2022
Supported OS Windows Server only Windows & Linux Windows & Linux Windows & Linux
Latest Service Pack / CU SP3 (final) CU30+ CU26+ CU9+
Core Licensing Model Core-based Core-based Core-based Core-based
Maximum Memory (Buffer Pool) OS Maximum OS Maximum OS Maximum OS Maximum
Maximum Compute Capacity OS Maximum OS Maximum OS Maximum OS Maximum
Maximum Database Size 524 PB 524 PB 524 PB 524 PB
Virtualization Rights Unlimited VMs per licensed host Unlimited VMs Unlimited VMs Unlimited VMs

⚙️ Database Engine and Core Features

Feature 2016 2017 2019 2022
In-Memory OLTP ✅ (improved) ✅ (enhanced scalability)
Columnstore Indexes ✅ (faster rebuilds) ✅ (batch mode on rowstore) ✅ (automatic tiering)
Query Store ✅ (enhanced with intelligent query processing)
Automatic Tuning ✅ (basic) ✅ (improved) ✅ (with AI-driven feedback loops)
Table Partitioning
Stretch Database (Azure) ✅ (deprecated later) ❌ (deprecated)
Graph Database Support ✅ (introduced) ✅ (enhanced MATCH syntax)
UTF-8 Data Support ✅ (new feature)
Ledger Tables (Blockchain) ✅ (new for 2022)
JSON Support ✅ (read/write)
PolyBase (External Data Query) ✅ (Hadoop, Azure Blob) ✅ (expanded sources) ✅ (supports Oracle, MongoDB, etc.) ✅ (supports S3, Azure Synapse, BigQuery)
Big Data Clusters ✅ (Kubernetes-based) ❌ (deprecated)
Temporal Tables
T-SQL Enhancements ✅ (new TRIM, STRING_AGG, etc.) ✅ (improved functions) ✅ (DATETRUNC, GENERATE_SERIES, GREATEST/LEAST)

Security Features

Feature 2016 2017 2019 2022
Always Encrypted ✅ (improved key management) ✅ (secure enclaves) ✅ (enhanced with Azure Key Vault integration)
Row-Level Security (RLS)
Dynamic Data Masking (DDM)
Transparent Data Encryption (TDE) ✅ (AES-256 support, key hierarchy in Azure)
Data Classification
Secure Enclaves ✅ (Always Encrypted with Enclaves)
Ledger (Immutable Audit)
Azure AD Authentication ✅ (improved hybrid AD auth)
TLS 1.2+ Support ✅ (default TLS 1.3 ready)

Performance and Intelligent Query Processing

Feature 2016 2017 2019 2022
Query Optimizer Enhancements ✅ (Query Store) ✅ (Adaptive Joins) ✅ (Batch Mode on Rowstore) ✅ (Cardinality Estimation vNext)
Adaptive Query Processing ✅ (Adaptive Joins, Memory Grant Feedback) ✅ (Table Variable Deferred Compilation) ✅ (Intelligent Query Processing vNext)
Intelligent Query Processing ✅ (enhanced with parameter sensitivity feedback)
Automatic Plan Correction
Scalar UDF Inlining
Approximate Count Distinct
TempDB Optimization ✅ (further enhanced)
Buffer Pool Extension
Parallel Processing ✅ (improved scalability)

Storage and Data Virtualization

Feature 2016 2017 2019 2022
FileTable & FileStream
Compressed Tables & Backups
Persistent Memory (PMEM) Support ✅ (optimized)
Transparent Data Tiering ✅ (hot/cold data mgmt) ✅ (enhanced)
Data Virtualization via PolyBase Limited Expanded (ODBC) Extended (Oracle, Mongo, Teradata) Extended (S3, Synapse, Cosmos DB)
Backup to Azure
S3-Compatible Object Storage Support

High Availability (HA) and Disaster Recovery (DR)

Feature 2016 2017 2019 2022
Always On Availability Groups ✅ (8 replicas) ✅ (cross-instance failover) ✅ (seamless failover to Azure SQL Managed Instance)
Distributed Availability Groups ✅ (enhanced) ✅ (Azure link integration)
Failover Cluster Instances (FCI)
Automatic Failover ✅ (cross-version supported)
Backup Compression & Encryption
Resumable Online Index Rebuilds ✅ (resumable create/reorganize)
Accelerated Database Recovery (ADR) ✅ (optimized)
TempDB Metadata Optimization

Business Intelligence (BI) and Machine Learning

Feature 2016 2017 2019 2022
SQL Server Reporting Services (SSRS) ✅ (modern UI) ✅ (Power BI integration)
SQL Server Analysis Services (SSAS) ✅ (Tabular & Multidimensional) ✅ (1400 model support) ✅ (1500 model) ✅ (enhanced DAX functions)
SQL Server Integration Services (SSIS) ✅ (Linux support) ✅ (Azure Data Factory integration) ✅ (cloud scale-out)
R Services (In-Database)
Python Integration ✅ (Machine Learning Services) ✅ (expanded libraries)
Java Integration
Machine Learning Services ✅ (R/Python) ✅ (auto ML pipelines)
Big Data Clusters ❌ (retired)
Power BI Report Server Optional Optional Optional Optional (cloud hybrid ready)

☁️ Cloud and Hybrid Integration

Feature 2016 2017 2019 2022
Azure Backup & Restore ✅ (integrated into Azure Arc)
Stretch Database ❌ (deprecated)
PolyBase (Hybrid Querying) Limited Expanded Full (multiple connectors) Extended (object storage, Synapse)
Azure Active Directory Integration ✅ (native AD auth for hybrid)
Azure Synapse Link ✅ (direct operational analytics)
Azure Arc Integration ✅ (centralized hybrid management)
Cloud Disaster Recovery Manual Manual Semi-Automated Automated (Managed Instance Link)

Licensing and Management Tools

Feature 2016 2017 2019 2022
Licensing Model Core-based Core-based Core-based Core-based
Management Tool SSMS (2016) SSMS (17.x) SSMS (18.x) SSMS (19.x)
SQL Server Data Tools (SSDT)
Azure Data Studio
PowerShell Integration Basic Improved Improved Improved (cross-platform)
Dynamic Management Views (DMVs) ✅ (expanded) ✅ (expanded)

System Requirements (Typical Minimums)

Component 2016 2017 2019 2022
CPU 1.4 GHz x64 (2.0+ recommended) Same Same Same
Memory 4 GB min (8 GB+ recommended) Same Same Same
Storage 6 GB min 6 GB min 6 GB min 8 GB min
OS Windows Server 2012+ Windows Server 2012 R2 / Linux (Ubuntu, RHEL) Windows Server 2016+ / Linux Windows Server 2019+ / Linux
.NET Framework 4.6+ 4.6+ 4.7+ 4.8+
Architecture 64-bit only 64-bit only 64-bit only 64-bit only

Summary of Key Innovations by Version

Version Key Innovations
SQL Server 2016 Always Encrypted, Row-Level Security, Query Store, In-Memory OLTP, SSRS Modern UI
SQL Server 2017 Linux support, Python/R integration, Adaptive Query Processing, Resumable Index Rebuilds
SQL Server 2019 Big Data Clusters, PolyBase expansion, Intelligent Query Processing, Secure Enclaves, UTF-8
SQL Server 2022 Azure Synapse Link, Ledger Tables, Azure Arc integration, Parameter Sensitivity Feedback, S3 storage, deeper hybrid cloud connectivity

 In short:

  • SQL Server 2016 – Foundation for modern secure and performant SQL.

  • SQL Server 2017 – Cross-platform (Linux) and ML integration.

  • SQL Server 2019 – Hybrid, AI, and Big Data powerhouse.

  • SQL Server 2022 – Cloud-connected, intelligent, and most secure version ever.

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