DBMS > ArangoDB vs. Microsoft SQL Server vs. NSDb
System Properties Comparison ArangoDB vs. Microsoft SQL Server vs. NSDb
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|Editorial information provided by DB-Engines
|ArangoDB Xexclude from comparison
|Microsoft SQL Server Xexclude from comparison
|NSDb Xexclude from comparison
|Native multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.
|Microsofts flagship relational DBMS
|Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
|Primary database model
|Time Series DBMS
|Secondary database models
|Social network pages
|3.11.5, November 2023
|SQL Server 2022, November 2022
|License Commercial or Open Source
|Open Source Apache Version 2; Commercial license (Enterprise) available
|commercial restricted free version is available
|Open Source Apache Version 2.0
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
Providers of DBaaS offerings, please contact us to be listed.
|ArangoDB Cloud –The Managed Cloud Service of ArangoDB. Provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour.
|Server operating systems
|schema-free automatically recognizes schema within a collection
|Typing predefined data types such as float or date
|yes string, double, boolean, list, hash
|yes: int, bigint, decimal, string
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.
|all fields are automatically indexed
|SQL Support of SQL
|SQL-like query language
|APIs and other access methods
Graph API (Gremlin)
GraphQL query language
Java & SpringData
JSON style queries
Tabular Data Stream (TDS)
|Supported programming languages
|Server-side scripts Stored procedures
|Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
|Partitioning methods Methods for storing different data on different nodes
|Sharding since version 2.0
|tables can be distributed across several files (horizontal partitioning); sharding through federation
|Replication methods Methods for redundantly storing data on multiple nodes
|Source-replica replication with configurable replication factor
|yes, but depending on the SQL-Server Edition
|MapReduce Offers an API for user-defined Map/Reduce methods
|Consistency concepts Methods to ensure consistency in a distributed system
|Eventual Consistency configurable per collection or per write
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
|Foreign keys Referential integrity
|yes relationships in graphs
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|Concurrency Support for concurrent manipulation of data
|Durability Support for making data persistent
|Using Apache Lucene
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.
|User concepts Access control
|fine grained access rights according to SQL-standard
|More information provided by the system vendor
|Microsoft SQL Server
|Graph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
|Consolidation: As a native multi-model database, can be used as a full blown document...
|Typical application scenarios
|Native multi-model in ArangoDB is being used for a broad range of projects across...
|Cisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
|ArangoDB is the leading native multi-model database with over 11,000 stargazers on...
|Licensing and pricing models
|Very permissive Apache 2 License for Community Edition & commercial licenses are...
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|Related products and services
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|Microsoft SQL Server
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|Recent citations in the news
ArangoGraphML: Simplifying the Power of Graph Machine Learning
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ArangoDB brings yet more money into graph database market with $27.8M round
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