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DBMS > Amazon Neptune vs. Firebolt vs. Greenplum vs. Stardog vs. TerarkDB

System Properties Comparison Amazon Neptune vs. Firebolt vs. Greenplum vs. Stardog vs. TerarkDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonFirebolt  Xexclude from comparisonGreenplum  Xexclude from comparisonStardog  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSGraph DBMS
RDF store
Key-value store
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
Score1.73
Rank#140  Overall
#63  Relational DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score0.08
Rank#367  Overall
#56  Key-value stores
Websiteaws.amazon.com/­neptunewww.firebolt.iogreenplum.orgwww.stardog.comgithub.com/­bytedance/­terarkdb
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.firebolt.iodocs.greenplum.orgdocs.stardog.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperAmazonFirebolt Analytics Inc.Pivotal Software Inc.Stardog-UnionByteDance, originally Terark
Initial release20172020200520102016
Current release7.0.0, September 20237.3.0, May 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemshostedhostedLinuxLinux
macOS
Windows
Data schemeschema-freeyesyesschema-free and OWL/RDFS-schema supportschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.noyes infosince Version 4.2no infoImport/export of XML data possibleno
Secondary indexesnoyesyesyes infosupports real-time indexing in full-text and geospatialno
SQL infoSupport of SQLnoyesyesYes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
.Net
ODBC
RESTful HTTP API
JDBC
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
C++ API
Java API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Go
JavaScript (Node.js)
Python
C
Java
Perl
Python
R
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresnonoyesuser defined functions and aggregates, HTTP Server extensions in Javano
Triggersnonoyesyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonenone
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.depending on storage layerSource-replica replicationMulti-source replication in HA-Clusternone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyes infoRelationships in graphsyesyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess 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 for users and rolesno

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More resources
Amazon NeptuneFireboltGreenplumStardogTerarkDB
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