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DBMS > Amazon Neptune vs. Greenplum vs. Microsoft Azure Table Storage vs. Weaviate

System Properties Comparison Amazon Neptune vs. Greenplum vs. Microsoft Azure Table Storage vs. Weaviate

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonGreenplum  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.A Wide Column Store for rapid development using massive semi-structured datasetsAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelGraph DBMS
RDF store
Relational DBMSWide column storeVector DBMS
Secondary database modelsDocument store
Spatial 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
Score7.71
Rank#46  Overall
#29  Relational DBMS
Score3.55
Rank#80  Overall
#6  Wide column stores
Score1.48
Rank#149  Overall
#8  Vector DBMS
Websiteaws.amazon.com/­neptunegreenplum.orgazure.microsoft.com/­en-us/­services/­storage/­tablesgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.greenplum.orgweaviate.io/­developers/­weaviate
DeveloperAmazonPivotal Software Inc.MicrosoftWeaviate B.V.
Initial release2017200520122019
Current release7.0.0, September 20231.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo
Server operating systemshostedLinuxhosted
Data schemeschema-freeyesschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyesyes 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.noyes infosince Version 4.2nono
Secondary indexesnoyesnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoyesnoGraphQL is used as query language
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP APIGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
Java
Perl
Python
R
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnoyesnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud serviceSharding
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.Source-replica replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingno
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.nonoyes
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-standardAccess rights based on private key authentication or shared access signaturesAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Amazon NeptuneGreenplumMicrosoft Azure Table StorageWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
» more
Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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More resources
Amazon NeptuneGreenplumMicrosoft Azure Table StorageWeaviate
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