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DBMS > EsgynDB vs. Neo4j vs. NSDb vs. Weaviate

System Properties Comparison EsgynDB vs. Neo4j vs. NSDb vs. Weaviate

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonNeo4j  Xexclude from comparisonNSDb  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA cloud-native, realtime vector search engine integrating scalable machine learning models
Primary database modelRelational DBMSGraph DBMSTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.24
Rank#279  Overall
#128  Relational DBMS
Score57.87
Rank#19  Overall
#1  Graph DBMS
Score0.00
Rank#350  Overall
#33  Time Series DBMS
Score0.18
Rank#292  Overall
#15  Search engines
Websitewww.esgyn.cnneo4j.comnsdb.iogithub.com/­semi-technologies/­weaviate
www.semi.technology/­solutions/­weaviate
Technical documentationneo4j.com/­docsnsdb.io/­Architecturewww.semi.technology/­developers/­weaviate/­current
DeveloperEsgynNeo4j, Inc.SeMI Technologies B.V.
Initial release2015200720172017
Current release4.3.6, October 20211.0.3, January 2021
License infoCommercial or Open SourcecommercialOpen Source infoGPL version3, commercial licenses availableOpen Source infoApache Version 2.0Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageC++, JavaJava, ScalaJava, ScalaGo
Server operating systemsLinuxLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
macOS
Data schemeyesschema-free and schema-optionalyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyes infostring, int, float, geo point, date, cross reference, fuzzy references
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.nonono
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Luceneall fields are automatically indexedyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesnoSQL-like query languageGraphQL is used as query language
APIs and other access methodsADO.NET
JDBC
ODBC
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
gRPC
HTTP REST
WebSocket
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Java
Scala
Server-side scripts infoStored proceduresJava Stored Proceduresyes infoUser defined Procedures and Functionsnono
Triggersnoyes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodesShardingyes using Neo4j FabricShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
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
Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)OpenID Connect Discovery
More information provided by the system vendor
EsgynDBNeo4jNSDbWeaviate
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
News

Jim Webber with Asurion’s Julie Fisher on Her Singular Path to Graph
14 October 2021

This Week in Neo4j – GDS 1.7 Features, Knowledge Graph with Spark and Neo4j, Digital Nomad Travel Logs, Link Predictions, Load Data Into AuraDB
9 October 2021

Combining Knowledge Graph and Graph Algorithms to Find Hidden Skills at NASA
8 October 2021

It’s Officially Fall: Let’s Catch Up on What You Missed This Summer
7 October 2021

This Week in Neo4j – Graphlytic Styles, Graphileon API Endpoints, O’Reilly Knowledge Graphs Course, Twitter Hashtags, Kafka with Neo4j AuraDB, Collatz Conjecture, Reactive Neo4j Spring Data
2 October 2021

Weaviate in IEEE

Weaviate on DB-engines.com

Introduction & Demo video

FLOSS Weekly Podcast

FOSDEM 2020 video

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
3rd partiesGraphable delivers expert services for Neo4j and other Graph DBMS.
» more

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

More resources
EsgynDBNeo4jNSDbWeaviate
DB-Engines blog posts

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2 February 2021,  Etienne Dilocker, SeMI Technologies (sponsor) 

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Recent citations in the news

Esgyn Corporation and Zaloni Partner to Make Data Lakes More Powerful and Deliver Benefits Faster!
2 December 2017, Korea IT Times

Mphasis partners with Esgyn Corporation to optimize Open-Source frameworks and expand industry footprint
24 May 2019, PRNewswire

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Weaviate is an open-source search engine powered by ML, vectors, graphs, and GraphQL
7 April 2021, ZDNet

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18 May 2020, hackernoon.com

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Weaviate Is A Search Engine For Vector Embeddings
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Why the rise of vector databases is a revolution for data analysis
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