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DBMS > Amazon Neptune vs. EsgynDB vs. Pinecone vs. PostGIS

System Properties Comparison Amazon Neptune vs. EsgynDB vs. Pinecone vs. PostGIS

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonEsgynDB  Xexclude from comparisonPinecone  Xexclude from comparisonPostGIS  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA managed, cloud-native vector databaseSpatial extension of PostgreSQL
Primary database modelGraph DBMS
RDF store
Relational DBMSVector DBMSSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score0.15
Rank#325  Overall
#144  Relational DBMS
Score3.02
Rank#87  Overall
#3  Vector DBMS
Score20.16
Rank#29  Overall
#1  Spatial DBMS
Websiteaws.amazon.com/­neptunewww.esgyn.cnwww.pinecone.iopostgis.net
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.pinecone.io/­docs/­overviewpostgis.net/­documentation
DeveloperAmazonEsgynPinecone Systems, Inc
Initial release2017201520192005
Current release3.4.2, February 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaC
Server operating systemshostedLinuxhosted
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesString, Number, Booleanyes
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.nononoyes
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyesnoyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC/ADO.NetPython
Server-side scripts infoStored proceduresnoJava Stored Proceduresuser defined functions
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes infobased on PostgreSQL
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 between multi datacentersyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardyes infobased on PostgreSQL

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More resources
Amazon NeptuneEsgynDBPineconePostGIS
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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Spatial database management systems
6 April 2021, Matthias Gelbmann

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Recent citations in the news

How Apollo Tyres built their tyre genealogy solution using Amazon Neptune and Amazon Bedrock
25 September 2024, AWS Blog

How Amazon stores deliver trustworthy shopping and seller experiences using Amazon Neptune
18 September 2024, AWS Blog

Hydrating the Natural History Museum’s Planetary Knowledge Base with Amazon Neptune and Open Data on AWS
13 September 2024, AWS Blog

Amazon Neptune Analytics now supports openCypher queries over RDF Graphs
13 August 2024, AWS Blog

New Amazon Neptune engine version delivers up to 9 times faster and 10 times higher throughput for openCypher query performance
23 July 2024, AWS Blog

provided by Google News

Using the Pinecone vector database in .NET
12 September 2024, InfoWorld

Pinecone serverless goes multicloud as vector database market heats up
27 August 2024, VentureBeat

Pinecone launches its serverless vector database out of preview
21 May 2024, TechCrunch

Pinecone launches serverless vector database on Azure, GCP
27 August 2024, TechTarget

Pinecone vector database available on AWS, Azure, and Google clouds
27 August 2024, Blocks & Files

provided by Google News



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