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DBMS > EsgynDB vs. Greenplum vs. MongoDB vs. Solr vs. Weaviate

System Properties Comparison EsgynDB vs. Greenplum vs. MongoDB vs. Solr vs. Weaviate

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGreenplum  Xexclude from comparisonMongoDB  Xexclude from comparisonSolr  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAnalytic 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.One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureA widely used distributed, scalable search engine based on Apache LuceneA cloud-native, realtime vector search engine integrating scalable machine learning models
Primary database modelRelational DBMSRelational DBMSDocument storeSearch engineSearch engine
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#274  Overall
#127  Relational DBMS
Score13.61
Rank#42  Overall
#26  Relational DBMS
Score496.50
Rank#5  Overall
#1  Document stores
Score49.81
Rank#22  Overall
#3  Search engines
Score0.17
Rank#294  Overall
#15  Search engines
Websitewww.esgyn.cngreenplum.orgwww.mongodb.comlucene.apache.org/­solrgithub.com/­semi-technologies/­weaviate
www.semi.technology/­solutions/­weaviate
Technical documentationdocs.greenplum.orgdocs.mongodb.com/­manuallucene.apache.org/­solr/­resources.htmlwww.semi.technology/­developers/­weaviate/­current
DeveloperEsgynPivotal Software Inc.MongoDB, IncApache Software FoundationSeMI Technologies B.V.
Initial release20152005200920062017
Current release6.7.1, April 20205.0, July 20218.9.0, June 20211.0.3, January 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoApache Version 2Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonono infoMongoDB available as DBaaS (MongoDB Atlas)nono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaC++JavaGo
Server operating systemsLinuxLinuxLinux
OS X
Solaris
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.yes infoDynamic Fields enables on-the-fly addition of new fieldsyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes infosupports customizable data types and automatic typingyes 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 4.2yesno
Secondary indexesyesyesyesyes infoAll search fields are automatically indexedyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesyesRead-only SQL queries via the MongoDB Connector for BISolr Parallel SQL InterfaceGraphQL is used as query language
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
proprietary protocol using JSONJava API
RESTful HTTP/JSON API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC
Java
Perl
Python
R
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresJava Stored ProceduresyesJavaScriptJava pluginsno
Triggersnoyesyes infoin MongoDB Atlas onlyyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersSource-replica replicationMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesno infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDMulti-document ACID Transactions with snapshot isolationoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infooptional, enabled by defaultyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoIn-memory storage engine introduced with MongoDB version 3.2yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and rolesyesOpenID Connect Discovery
More information provided by the system vendor
EsgynDBGreenplumMongoDBSolrWeaviate
Specific characteristicsMongoDB’s application data platform provides developers a unified interface to power...
» more
Competitive advantagesThe MongoDB platform can be used by developers building transactional, operational,...
» more
Typical application scenariosInternet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metrics175 million downloads, over 1.5M Atlas database clusters under management handling...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
News

Weaviate in IEEE

Weaviate on DB-engines.com

Introduction & Demo video

FLOSS Weekly Podcast

FOSDEM 2020 video

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