DB-EnginesextremeDB - Data management wherever you need itEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Microsoft SQL Server vs. Neo4j vs. openGemini

System Properties Comparison Microsoft SQL Server vs. Neo4j vs. openGemini

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameMicrosoft SQL Server  Xexclude from comparisonNeo4j  Xexclude from comparisonopenGemini  Xexclude from comparison
DescriptionMicrosofts flagship relational DBMSScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalability
Primary database modelRelational DBMSGraph DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score774.89
Rank#3  Overall
#3  Relational DBMS
Score47.91
Rank#20  Overall
#1  Graph DBMS
Score0.02
Rank#371  Overall
#40  Time Series DBMS
Websitewww.microsoft.com/­en-us/­sql-serverneo4j.comwww.opengemini.org
github.com/­openGemini
Technical documentationlearn.microsoft.com/­en-US/­sql/­sql-serverneo4j.com/­docsdocs.opengemini.org/­guide
DeveloperMicrosoftNeo4j, Inc.Huawei and openGemini community
Initial release198920072022
Current releaseSQL Server 2022, November 20225.23, August 20241.1, July 2023
License infoCommercial or Open Sourcecommercial inforestricted free version is availableOpen Source infoGPL version3, commercial licenses availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageC++Java, ScalaGo
Server operating systemsLinux
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
Windows
Data schemeyesschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateyesyesInteger, Float, Boolean, String
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesno
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLyesnoSQL-like query language
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
HTTP REST
Supported programming languagesC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes infoUser defined Procedures and Functionsno
Triggersyesyes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodestables can be distributed across several files (horizontal partitioning); sharding through federationyes using Neo4j FabricSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, but depending on the SQL-Server EditionCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integrityyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Administrators and common users accounts
More information provided by the system vendor
Microsoft SQL ServerNeo4jopenGemini
News

Run Cypher From Java
13 May 2025

Integrating Neo4j With LangChain4j for GraphRAG Vector Stores and Retrievers
12 May 2025

This Week in Neo4j: NODES, Knowledge Graph, Graph Analytics, MCP and more
10 May 2025

Aura Graph Analytics: A Technical Deep Dive
7 May 2025

Introducing Neo4j Aura Graph Analytics: Scalable, Easy-to-Deploy Graph Analytics for Any Data Source
7 May 2025

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Microsoft SQL ServerNeo4jopenGemini
DB-Engines blog posts

MySQL is the DBMS of the Year 2019
3 January 2020, Matthias Gelbmann, Paul Andlinger

The struggle for the hegemony in Oracle's database empire
2 May 2017, Paul Andlinger

Microsoft SQL Server is the DBMS of the Year
4 January 2017, Matthias Gelbmann, Paul Andlinger

show all

Applying Graph Analytics to Game of Thrones
12 June 2019, Amy Hodler & Mark Needham, Neo4j (guest author)

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

The openCypher Project: Help Shape the SQL for Graphs
22 December 2015, Emil Eifrem (guest author)

show all

Recent citations in the news

Why SQL Server Is Still Worth It
24 March 2025, Redmondmag.com

The year ahead for SQL Server: Ground to cloud to fabric
15 January 2025, Microsoft

SQL Server 2019 installation for Lab
27 January 2025, Spiceworks Community

Ola Hallengren’s SQL Server Maintenance Solution in AWS
8 March 2025, Amazon Web Services

How to Recover Deleted Data from SQL Server without Backup
22 April 2025, Infosecurity Magazine

provided by Google News

Neo4j Brings Graph Analytics to Any Data Platform
14 May 2025, CDOTrends

NASA jettisons Neo4j database for Memgraph citing costs
7 May 2025, theregister.com

Neo4j goes serverless, bringing graph analytics to any data source
7 May 2025, SiliconANGLE

Latest Neo4j release aims to simplify graph technology
7 May 2025, TechTarget

Neo4j Launches Industry's First Graph Analytics Offering For Any Data Platform
7 May 2025, PR Newswire

provided by Google News

Huawei OpenGemini cloud series joined OpenEuler
17 March 2023, Huawei Central

Open Source @ Huawei
9 February 2022, Huawei

provided by Google News



Share this page

Featured Products

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Present your product here