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DBMS > EsgynDB vs. Memcached vs. NSDb vs. Weaviate

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

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonMemcached  Xexclude from comparisonNSDb  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionIn-memory key-value store, originally intended for cachingScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSKey-value storeTime Series DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score20.74
Rank#32  Overall
#4  Key-value stores
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Score1.89
Rank#138  Overall
#4  Vector DBMS
Websitewww.esgyn.cnwww.memcached.orgnsdb.iogithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationgithub.com/­memcached/­memcached/­wikinsdb.io/­Architectureweaviate.io/­developers/­weaviate
DeveloperEsgynDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalWeaviate B.V.
Initial release2015200320172019
Current release1.6.25, March 20241.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoBSD licenseOpen 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.
Implementation languageC++, JavaCJava, ScalaGo
Server operating systemsLinuxFreeBSD
Linux
OS X
Unix
Windows
Linux
macOS
Data schemeyesschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesnoyes: 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 indexesyesnoall 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
Proprietary protocolgRPC
HTTP REST
WebSocket
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Java
Scala
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresJava Stored Proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersnone infoRepcached, a Memcached patch, provides this functionallityyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesnoUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousing SASL (Simple Authentication and Security Layer) protocolAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
EsgynDBMemcachedNSDbWeaviate
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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EsgynDBMemcachedNSDbWeaviate
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