DB-EnginesextremeDB - solve IoT connectivity disruptionsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Amazon Neptune vs. H2GIS vs. Milvus vs. NCache

System Properties Comparison Amazon Neptune vs. H2GIS vs. Milvus vs. NCache

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonH2GIS  Xexclude from comparisonMilvus  Xexclude from comparisonNCache  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudSpatial extension of H2A DBMS designed for efficient storage of vector data and vector similarity searchesOpen-Source and Enterprise in-memory Key-Value Store
Primary database modelGraph DBMS
RDF store
Spatial DBMSVector DBMSKey-value store
Secondary database modelsRelational DBMSDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.13
Rank#111  Overall
#9  Graph DBMS
#5  RDF stores
Score0.00
Rank#385  Overall
#7  Spatial DBMS
Score2.92
Rank#87  Overall
#7  Vector DBMS
Score0.85
Rank#203  Overall
#30  Key-value stores
Websiteaws.amazon.com/­neptunewww.h2gis.orgmilvus.iowww.alachisoft.com/­ncache
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.h2gis.org/­docs/­homemilvus.io/­docs/­overview.mdwww.alachisoft.com/­resources/­docs
DeveloperAmazonCNRSAlachisoft
Initial release2017201320192005
Current release2.4.4, May 20245.3.3, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoLGPL 3.0Open Source infoApache Version 2.0Open Source infoEnterprise Edition available
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 languageJavaC++, GoC#, .NET, .NET Core, Java
Server operating systemshostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
Windows
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesVector, Numeric and Stringpartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counter
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.nononono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoyesnoSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful HTTP APIIDistributedCache
JCache
LINQ
Proprietary native API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
JavaC++
Go
Java
JavaScript (Node.js)
Python
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoyes infobased on H2nono infosupport for stored procedures with SQL-Server CLR
Triggersnoyesnoyes infoNotifications
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingyes
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.yes infobased on H2yes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnooptimistic locking and pessimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.yesyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yes infobased on H2Role based access control and fine grained access rightsAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)

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 NeptuneH2GISMilvusNCache
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

show all

Recent citations in the news

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

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

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

Introducing the GraphRAG Toolkit
27 January 2025, Amazon Web Services

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

provided by Google News

What Is Milvus? A Distributed Vector Database
3 March 2025, Oracle

Milvus 2.5 Creates the Best of Both Worlds With Hybrid Vector-Keyword Search
17 December 2024, GlobeNewswire

AI-Powered Search Engine With Milvus Vector Database on Vultr
7 November 2024, SitePoint

Dance between dense and sparse embeddings: Enabling Hybrid Search in LangChain-Milvus
19 November 2024, Towards Data Science

Generating More Creative and Curated Ghibli-Style Images with GPT-4o and Milvus
29 April 2025, DataDrivenInvestor

provided by Google News

How to use NCache in ASP.Net Core
9 July 2024, InfoWorld

NCache Distributed Cache for .NET Gets Open Sourced
28 January 2015, Visual Studio Magazine

Custom Response Caching Using NCache in ASP.NET Core
22 April 2020, infoq.com

provided by Google News



Share this page

Featured Products

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

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.

Present your product here