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DBMS > Amazon DocumentDB vs. Solr vs. TerminusDB vs. VelocityDB

System Properties Comparison Amazon DocumentDB vs. Solr vs. TerminusDB vs. VelocityDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonSolr  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA widely used distributed, scalable search engine based on Apache LuceneScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelDocument storeSearch engineGraph DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsSpatial DBMSDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score42.91
Rank#24  Overall
#3  Search engines
Score0.17
Rank#325  Overall
#29  Graph DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websiteaws.amazon.com/­documentdbsolr.apache.orgterminusdb.comvelocitydb.com
Technical documentationaws.amazon.com/­documentdb/­resourcessolr.apache.org/­resources.htmlterminusdb.github.io/­terminusdb/­#velocitydb.com/­UserGuide
DeveloperApache Software FoundationDataChemist Ltd.VelocityDB Inc
Initial release2019200620182011
Current release9.6.0, April 202411.0.0, January 20237.x
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoGPL V3commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaProlog, RustC#
Server operating systemshostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)LinuxAny that supports .NET
Data schemeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyesyes
Typing infopredefined data types such as float or dateyesyes 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.noyesnono
Secondary indexesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnoSolr Parallel SQL InterfaceSQL-like query language (WOQL)no
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Java API
RESTful HTTP/JSON API
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
.Net
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
JavaScript
Python
.Net
Server-side scripts infoStored proceduresnoJava pluginsyesno
Triggersnoyes infoUser configurable commands triggered on index changesyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingGraph PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)spark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsoptimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and rolesyesRole-based access controlBased on Windows Authentication

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More resources
Amazon DocumentDBSolrTerminusDB infoformer name was DataChemistVelocityDB
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