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DBMS > Amazon Neptune vs. Dgraph vs. EDB Postgres vs. EsgynDB vs. Typesense

System Properties Comparison Amazon Neptune vs. Dgraph vs. EDB Postgres vs. EsgynDB vs. Typesense

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonDgraph  Xexclude from comparisonEDB Postgres  Xexclude from comparisonEsgynDB  Xexclude from comparisonTypesense  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudDistributed and scalable native Graph DBMSThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelGraph DBMS
RDF store
Graph DBMSRelational DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score1.91
Rank#130  Overall
#60  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.76
Rank#219  Overall
#14  Search engines
Websiteaws.amazon.com/­neptunedgraph.iowww.enterprisedb.comwww.esgyn.cntypesense.org
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdgraph.io/­docswww.enterprisedb.com/­docstypesense.org/­docs
DeveloperAmazonDgraph Labs, Inc.EnterpriseDBEsgyn
Initial release20172016200520152015
Current release14, December 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infoBSD for PostgreSQL-componentscommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoCC++, JavaC++
Server operating systemshostedLinux
OS X
Windows
Linux
Windows
LinuxLinux
Data schemeschema-freeschema-freeyesyesschema-free infopre-defined schema optional
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.nonoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnonoyes infostandard with numerous extensionsyesno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
All languages supporting JDBC/ODBC/ADO.Net.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Java Stored Proceduresno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneyeshorizontal partitioning infoby hash, list or rangeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.Synchronous replication via RaftMulti-source replicationMulti-source replication between multi datacentersMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)no infoPlanned for future releasesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Amazon NeptuneDgraphEDB PostgresEsgynDBTypesense
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