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

DBMS > Amazon Neptune vs. SurrealDB vs. Vitess vs. YTsaurus

System Properties Comparison Amazon Neptune vs. SurrealDB vs. Vitess vs. YTsaurus

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonSurrealDB  Xexclude from comparisonVitess  Xexclude from comparisonYTsaurus  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA fully ACID transactional, developer-friendly, multi-model DBMSScalable, distributed, cloud-native DBMS, extending MySQLYTsaurus is an open source platform for distributed storage and processing.
Primary database modelGraph DBMS
RDF store
Document store
Graph DBMS
Relational DBMSDocument store
Key-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.13
Rank#111  Overall
#9  Graph DBMS
#5  RDF stores
Score1.08
Rank#176  Overall
#30  Document stores
#16  Graph DBMS
Score0.99
Rank#185  Overall
#84  Relational DBMS
Score0.22
Rank#306  Overall
#45  Document stores
#45  Key-value stores
Websiteaws.amazon.com/­neptunesurrealdb.comvitess.ioytsaurus.tech
Technical documentationaws.amazon.com/­neptune/­developer-resourcessurrealdb.com/­docsvitess.io/­docsytsaurus.tech/­docs/­en
DeveloperAmazonSurrealDB LtdThe Linux Foundation, PlanetScaleYandex
Initial release2017202220132023
Current releasev1.5.0, May 202415.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache Version 2.0, commercial licenses availableOpen Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustGoC++
Server operating systemshostedLinux
macOS
Windows
Docker
Linux
macOS
Ubuntu
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nono
Secondary indexesnoyes
SQL infoSupport of SQLnoSQL-like query languageyes infowith proprietary extensionsYQL, an SQL-based language, is supported
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
GraphQL
RESTful HTTP API
WebSocket
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Deno
Go
JavaScript (Node.js)
Rust
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresnoyes infoproprietary syntax
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.Multi-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyes infoRelationships in graphsyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID at shard levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yes, based on authentication and database rulesUsers with fine-grained authorization concept infono user groups or rolesAccess Control Lists

More information provided by the system vendor

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
Amazon NeptuneSurrealDBVitessYTsaurus
Recent citations in the news

Zupee implements Amazon Neptune to detect Wallet transaction anomalies in real time
28 April 2025, Amazon Web Services (AWS)

Use Amazon Neptune Analytics to analyze relationships in your data faster, Part 1: Introducing Parquet and CSV import and export
21 January 2025, Amazon Web Services (AWS)

Using generative AI and Amazon Bedrock to generate SPARQL queries to discover protein functional information with UniProtKB and Amazon Neptune | Amazon Web Services
9 April 2025, Amazon Web Services (AWS)

Introducing the GraphRAG Toolkit
27 January 2025, Amazon Web Services (AWS)

How Coinbase provides trustworthy financial experiences through real-time user clustering with Amazon Neptune
18 November 2024, Amazon Web Services (AWS)

provided by Google News

SurrealDB Launches Surreal Cloud, a Fully Managed Database Service That Tackles the Complexity Issues Faced by Developer Teams
7 December 2024, insideAI News

SurrealDB Empowers Developers to Build Applications with the Launch of SurrealDB University
15 October 2024, Business Wire

SurrealDB's Surreal Cloud debuts on AWS S3 for scalable multimodel database as a service
4 December 2024, SiliconANGLE

SurrealDB is helping developers consolidate their databases
18 June 2024, TechCrunch

London-based SurrealDB secures over €18.6 million aiming to disrupt database technology
18 June 2024, EU-Startups

provided by Google News

Deepthi Sigireddi on Distributed Database Architecture in the Cloud Native Era
20 May 2024, infoq.com

PlanetScale grabs YouTube-developed open-source tech, promises Vitess DBaaS with on-the-fly schema changes
18 May 2021, theregister.com

3 Cloud-Native Database Tools From CNCF
26 July 2022, Cloud Native Now

PlanetScale Announces $30M Series B Funding to Accelerate Adoption of Instantly Provisioned and Infinitely Scalable Database
23 June 2021, Business Wire

Update CNCF’s Vitess Scales MySQL with the Help of Kubernetes
29 March 2022, InApps Technology

provided by Google News

Yandex Develops and Open-Sources Perforator: An Open-Source Tool that can Save Businesses Billions of Dollars a Year on Server Infrastructure
30 January 2025, MarkTechPost

provided by Google News



Share this page

Featured Products

Milvus logo

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

SingleStore logo

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

RaimaDB logo

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

Present your product here