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DBMS > AllegroGraph vs. Amazon DynamoDB vs. Elasticsearch vs. HEAVY.AI vs. Microsoft Azure Cosmos DB

System Properties Comparison AllegroGraph vs. Amazon DynamoDB vs. Elasticsearch vs. HEAVY.AI vs. Microsoft Azure Cosmos DB

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonAmazon DynamoDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSHosted, scalable database service by Amazon with the data stored in Amazons cloudA 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 metricA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareGlobally distributed, horizontally scalable, multi-model database service
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document store
Key-value store
Search engineRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Vector DBMS
Spatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score135.35
Rank#7  Overall
#1  Search engines
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websiteallegrograph.comaws.amazon.com/­dynamodbwww.elastic.co/­elasticsearchgithub.com/­heavyai/­heavydb
www.heavy.ai
azure.microsoft.com/­services/­cosmos-db
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.aws.amazon.com/­dynamodbwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.heavy.ailearn.microsoft.com/­azure/­cosmos-db
DeveloperFranz Inc.AmazonElasticHEAVY.AI, Inc.Microsoft
Initial release20042012201020162014
Current release8.0, December 20238.6, January 20235.10, January 2022
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infofree tier for a limited amount of database operationsOpen Source infoElastic LicenseOpen Source infoApache Version 2; enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++ and CUDA
Server operating systemsLinux
OS X
Windows
hostedAll OS with a Java VMLinuxhosted
Data schemeyes infoRDF schemasschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infoJSON types
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.no infobulk load of XML files possiblenono
Secondary indexesyesyesyes infoAll search fields are automatically indexednoyes infoAll properties auto-indexed by default
SQL infoSupport of SQLSPARQL is used as query languagenoSQL-like query languageyesSQL-like query language
APIs and other access methodsRESTful HTTP API
SPARQL
RESTful HTTP APIJava API
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
Vega
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispnoyesnoJavaScript
Triggersyesyes infoby integration with AWS Lambdayes infoby using the 'percolation' featurenoJavaScript
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingShardingSharding infoRound robinSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyesMulti-source replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)ES-Hadoop Connectornowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoACID across one or more tables within a single AWS account and regionnonoMulti-item ACID transactions with snapshot isolation within a partition
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.noMemcached and Redis integrationyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardAccess rights can be defined down to the item level
More information provided by the system vendor
AllegroGraphAmazon DynamoDBElasticsearchHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Microsoft Azure Cosmos DB infoformer name was Azure DocumentDB
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
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