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DBMS > Amazon DocumentDB vs. AnzoGraph DB vs. Elasticsearch vs. Microsoft Azure AI Search vs. RavenDB

System Properties Comparison Amazon DocumentDB vs. AnzoGraph DB vs. Elasticsearch vs. Microsoft Azure AI Search vs. RavenDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonElasticsearch  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricSearch-as-a-service for web and mobile app developmentOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelDocument storeGraph DBMS
RDF store
Search engineSearch engineDocument store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Vector DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score0.22
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score128.79
Rank#8  Overall
#1  Search engines
Score5.75
Rank#58  Overall
#7  Search engines
Score2.68
Rank#102  Overall
#19  Document stores
Websiteaws.amazon.com/­documentdbcambridgesemantics.com/­anzographwww.elastic.co/­elasticsearchazure.microsoft.com/­en-us/­services/­searchravendb.net
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmllearn.microsoft.com/­en-us/­azure/­searchravendb.net/­docs
DeveloperCambridge SemanticsElasticMicrosoftHibernating Rhinos
Initial release20192018201020152010
Current release2.3, January 20218.6, January 2023V15.4, July 2022
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availableOpen Source infoElastic LicensecommercialOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC#
Server operating systemshostedLinuxAll OS with a Java VMhostedLinux
macOS
Raspberry Pi
Windows
Data schemeschema-freeSchema-free and OWL/RDFS-schema supportschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nononono
Secondary indexesyesnoyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLnoSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like query languagenoSQL-like query language (RQL)
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
Java API
RESTful HTTP/JSON API
RESTful HTTP API.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C++
Java
Python
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyesnoyes
Triggersnonoyes infoby using the 'percolation' featurenoyes
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication in MPP-Clusteryesyes infoImplicit feature of the cloud serviceMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Kerberos/HDFS data loadingES-Hadoop Connectornoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusterEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleno infonot needed in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnonoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesMemcached and Redis integrationno
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and rolesyes infousing Azure authenticationAuthorization levels configured per client per database

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More resources
Amazon DocumentDBAnzoGraph DBElasticsearchMicrosoft Azure AI SearchRavenDB
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