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DBMS > EsgynDB vs. LevelDB vs. Machbase Neo vs. Microsoft Azure Table Storage vs. Weaviate

System Properties Comparison EsgynDB vs. LevelDB vs. Machbase Neo vs. Microsoft Azure Table Storage vs. Weaviate

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonLevelDB  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesTimeSeries DBMS for AIoT and BigDataA 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 modelRelational DBMSKey-value storeTime Series DBMSWide column storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitewww.esgyn.cngithub.com/­google/­leveldbmachbase.comazure.microsoft.com/­en-us/­services/­storage/­tablesgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdmachbase.com/­dbmsweaviate.io/­developers/­weaviate
DeveloperEsgynGoogleMachbaseMicrosoftWeaviate B.V.
Initial release20152011201320122019
Current release1.23, February 2021V8.0, August 20231.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoBSDcommercial infofree test version availablecommercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaC++CGo
Server operating systemsLinuxIllumos
Linux
OS X
Windows
Linux
macOS
Windows
hosted
Data schemeyesschema-freeyesschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesnoyesyesyes 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.nonononono
Secondary indexesyesnoyesnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesnoSQL-like query languagenoGraphQL is used as query language
APIs and other access methodsADO.NET
JDBC
ODBC
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP APIGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresJava Stored Proceduresnononono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersnoneselectable replication factoryes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonooptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infovolatile and lookup tablenoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnosimple password-based access controlAccess rights based on private key authentication or shared access signaturesAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
EsgynDBLevelDBMachbase Neo infoFormer name was InfinifluxMicrosoft 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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EsgynDBLevelDBMachbase Neo infoFormer name was InfinifluxMicrosoft Azure Table StorageWeaviate
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