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DBMS > Amazon Redshift vs. Dgraph vs. Elasticsearch vs. EsgynDB vs. HugeGraph

System Properties Comparison Amazon Redshift vs. Dgraph vs. Elasticsearch vs. EsgynDB vs. HugeGraph

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDgraph  Xexclude from comparisonElasticsearch  Xexclude from comparisonEsgynDB  Xexclude from comparisonHugeGraph  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsDistributed and scalable native Graph DBMSA 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 metricEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA fast-speed and highly-scalable Graph DBMS
Primary database modelRelational DBMSGraph DBMSSearch engineRelational DBMSGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score25.85
Rank#31  Overall
#18  Relational DBMS
Score1.51
Rank#139  Overall
#11  Graph DBMS
Score160.75
Rank#8  Overall
#1  Search engines
Score0.23
Rank#281  Overall
#130  Relational DBMS
Score0.14
Rank#300  Overall
#26  Graph DBMS
Websiteaws.amazon.com/­redshiftdgraph.iowww.elastic.co/­elasticsearchwww.esgyn.cngithub.com/­hugegraph
Technical documentationdocs.aws.amazon.com/­redshiftdgraph.io/­docswww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlhugegraph.github.io/­hugegraph-doc
DeveloperAmazon (based on PostgreSQL)Dgraph Labs, Inc.ElasticEsgynBaidu
Initial release20122016201020152018
Current release7.8.0, June 20200.9
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2; Elastic LicensecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCGoJavaC++, JavaJava
Server operating systemshostedLinux
OS X
Windows
All OS with a Java VMLinuxLinux
macOS
Unix
Data schemeyesschema-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.nonononono
Secondary indexesrestrictedyesyes infoAll search fields are automatically indexedyesyes infoalso supports composite index and range index
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoSQL-like query languageyesno
APIs and other access methodsJDBC
ODBC
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetGroovy
Java
Python
Server-side scripts infoStored proceduresuser defined functions infoin PythonnoyesJava Stored Proceduresasynchronous Gremlin script jobs
Triggersnonoyes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodesShardingyesShardingShardingyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication via RaftyesMulti-source replication between multi datacentersyes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoES-Hadoop Connectoryesvia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonoyesyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
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 integrationnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoPlanned for future releasesfine grained access rights according to SQL-standardUsers, roles and permissions
More information provided by the system vendor
Amazon RedshiftDgraphElasticsearchEsgynDBHugeGraph
Competitive advantagesHorizontally scalable transactional graph database with fast arbitrary-depth joins...
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More resources
Amazon RedshiftDgraphElasticsearchEsgynDBHugeGraph
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