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DBMS > Amazon DynamoDB vs. Apache Phoenix vs. Elasticsearch vs. NebulaGraph

System Properties Comparison Amazon DynamoDB vs. Apache Phoenix vs. Elasticsearch vs. NebulaGraph

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonElasticsearch  Xexclude from comparisonNebulaGraph  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudA scale-out RDBMS with evolutionary schema built on Apache HBaseA 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 distributed, linear scalable, high perfomant Graph DBMS
Primary database modelDocument store
Key-value store
Relational DBMSSearch engineGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score83.85
Rank#15  Overall
#2  Document stores
#2  Key-value stores
Score3.04
Rank#107  Overall
#55  Relational DBMS
Score144.93
Rank#8  Overall
#1  Search engines
Score1.14
Rank#186  Overall
#16  Graph DBMS
Websiteaws.amazon.com/­dynamodbphoenix.apache.orgwww.elastic.co/­elasticsearchgithub.com/­vesoft-inc/­nebula
nebula-graph.io
Technical documentationdocs.aws.amazon.com/­dynamodbphoenix.apache.orgwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.nebula-graph.io
DeveloperAmazonApache Software FoundationElasticVesoft Inc.
Initial release2012201420102019
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20197.8.0, June 2020
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache Version 2.0Open Source infoElastic LicenseOpen Source infoApache Version 2.0 + Common Clause 1.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++
Server operating systemshostedLinux
Unix
Windows
All OS with a Java VMLinux
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesschema-free infoFlexible type definitions. Once a type is defined, it is persistentStrong typed schema
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesyesyesyes infoAll search fields are automatically indexedyes infoNebula Graph internally uses the Key-Value store RocksDB for persistency. The vertices, edges, and their properties are stored as Key while their values are stored as Value. The primary indexes are per Key and secondary indexes are per Value.
SQL infoSupport of SQLnoyesSQL-like query languageSQL-like query language
APIs and other access methodsRESTful HTTP APIJDBCJava API
RESTful HTTP/JSON API
Browser interface
console (shell)
Proprietary native API
Query language nGQL
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C++
Go
Java
Python
Server-side scripts infoStored proceduresnouser defined functionsyes
Triggersyes infoby integration with AWS Lambdanoyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
yesCausal Clustering using Raft protocol
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Hadoop integrationES-Hadoop Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency or Eventual ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infousing RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesMemcached and Redis integrationyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyRole-based access control
More information provided by the system vendor
Amazon DynamoDBApache PhoenixElasticsearchNebulaGraph
Specific characteristicsNebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database,...
» more
Competitive advantagesNebulaGraph boasts the world's only graph database solution that is able to host...
» more
Typical application scenariosSocial networking Fraud detection Knowledge graph Data warehouse management Anti...
» more
Key customersCurrently we have some top internet companies in China implementing NebulaGraph in...
» more
Market metricsAt our very early stage, NebulaGraph has already received over 8,200 stars and thousands...
» more
Licensing and pricing modelsNebulaGraph is open source and free to use under Apache 2.0 license.
» more

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More resources
Amazon DynamoDBApache PhoenixElasticsearchNebulaGraph
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