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DBMS > MongoDB vs. Solr vs. Teradata Aster vs. TigerGraph

System Properties Comparison MongoDB vs. Solr vs. Teradata Aster vs. TigerGraph

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Editorial information provided by DB-Engines
NameMongoDB  Xexclude from comparisonSolr  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTigerGraph  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionOne 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 LucenePlatform for big data analytics on multistructured data sources and typesA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument storeSearch engineRelational DBMSGraph DBMS
Secondary database modelsSpatial 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
Score488.57
Rank#5  Overall
#1  Document stores
Score58.53
Rank#19  Overall
#3  Search engines
Score2.02
Rank#120  Overall
#9  Graph DBMS
Websitewww.mongodb.comlucene.apache.org/­solrwww.tigergraph.com
Technical documentationdocs.mongodb.com/­manuallucene.apache.org/­solr/­resources.htmldocs.tigergraph.com
DeveloperMongoDB, IncApache Software FoundationTeradata
Initial release2009200620052017
Current release5.0.5, December 20218.11.1, December 2021
License infoCommercial or Open SourceOpen 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 2commercialcommercial
Cloud-based only infoOnly available as a cloud serviceno infoMongoDB available as DBaaS (MongoDB Atlas)nonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++
Server operating systemsLinux
OS X
Solaris
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)LinuxLinux
Data schemeschema-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 fieldsFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes infosupports customizable data types and automatic typingyesyes
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.yesyes infoin Aster File Storeno
Secondary indexesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLRead-only SQL queries via the MongoDB Connector for BISolr Parallel SQL InterfaceyesSQL-like query language (GSQL)
APIs and other access methodsproprietary protocol using JSONJava API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
OLE DB
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesActionscript 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
C
C#
C++
Java
Python
R
C++
Java
Server-side scripts infoStored proceduresJavaScriptJava pluginsR packagesyes
Triggersyes infoin MongoDB Atlas onlyyes infoUser configurable commands triggered on index changesnono
Partitioning methods infoMethods for storing different data on different nodesSharding 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 deployments with MongoDB Atlas Global Clusters
Source-replica replication
yesyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyes infoSQL Map-Reduce Frameworkyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataMulti-document ACID Transactions with snapshot isolationoptimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infooptional, enabled by defaultyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-memory storage engine introduced with MongoDB version 3.2yesnono
User concepts infoAccess controlAccess rights for users and rolesyesfine grained access rights according to SQL-standardRole-based access control
More information provided by the system vendor
MongoDBSolrTeradata AsterTigerGraph
Specific characteristicsMongoDB’s application data platform provides developers a unified interface to power...
» more
TigerGraph is a native graph database, with massively parallel processing and fully...
» more
Competitive advantagesThe MongoDB platform can be used by developers building transactional, operational,...
» more
TigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
» more
Typical application scenariosInternet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Anti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Four out of the top five global banks use TigerGraph for real-time fraud detection....
» more
Market metrics175 million downloads, over 1.5M Atlas database clusters under management handling...
» more
ANALYST RESEARCH Nov 2020: TigerGraph Named A Leader For Graph Data Platforms - TigerGraph...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
Try TigerGraph for Free in the Cloud or On Prem https://www.tigergraph.com/get-tigergraph/...
» more

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MongoDBSolrTeradata AsterTigerGraph
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