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DBMS > AgensGraph vs. Amazon DynamoDB vs. Elasticsearch vs. JaguarDB vs. Yaacomo

System Properties Comparison AgensGraph vs. Amazon DynamoDB vs. Elasticsearch vs. JaguarDB vs. Yaacomo

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAmazon DynamoDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonJaguarDB  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLHosted, 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 metricPerformant, highly scalable DBMS for AI and IoT applicationsOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelGraph DBMS
Relational DBMS
Document store
Key-value store
Search engineKey-value store
Vector DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#320  Overall
#29  Graph DBMS
#143  Relational DBMS
Score70.06
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score128.79
Rank#8  Overall
#1  Search engines
Score0.00
Rank#385  Overall
#61  Key-value stores
#16  Vector DBMS
Websitebitnine.net/­agensgraphaws.amazon.com/­dynamodbwww.elastic.co/­elasticsearchwww.jaguardb.comyaacomo.com
Technical documentationbitnine.net/­documentationdocs.aws.amazon.com/­dynamodbwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.jaguardb.com/­support.html
DeveloperBitnine Global Inc.AmazonElasticDataJaguar, Inc.Q2WEB GmbH
Initial release20162012201020152009
Current release2.1, December 20188.6, January 20233.3 July 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infofree tier for a limited amount of database operationsOpen Source infoElastic LicenseOpen Source infoGPL V3.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC++ infothe server part. Clients available in other languages
Server operating systemsLinux
OS X
Windows
hostedAll OS with a Java VMLinuxAndroid
Linux
Windows
Data schemedepending on used data modelschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLyesnoSQL-like query languageA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes
APIs and other access methodsCypher Query Language
JDBC
RESTful HTTP APIJava API
RESTful HTTP/JSON API
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC
Java
JavaScript
Python
.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesnoyesno
Triggersnoyes infoby integration with AWS Lambdayes infoby using the 'percolation' featurenoyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyesMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)ES-Hadoop Connectornono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual 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, allEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
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 regionnonoACID
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 integrationnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)rights management via user accountsfine grained access rights according to SQL-standard

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More resources
AgensGraphAmazon DynamoDBElasticsearchJaguarDBYaacomo
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