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DBMS > Amazon Neptune vs. Datomic vs. Greenplum vs. Rockset

System Properties Comparison Amazon Neptune vs. Datomic vs. Greenplum vs. Rockset

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonDatomic  Xexclude from comparisonGreenplum  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAnalytic 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.A scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Websiteaws.amazon.com/­neptunewww.datomic.comgreenplum.orgrockset.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.datomic.comdocs.greenplum.orgdocs.rockset.com
DeveloperAmazonCognitectPivotal Software Inc.Rockset
Initial release2017201220052019
Current release1.0.7075, December 20237.0.0, September 2023
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++
Server operating systemshostedAll OS with a Java VMLinuxhosted
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesdynamic typing
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 infosince Version 4.2no infoingestion from XML files supported
Secondary indexesnoyesyesall fields are automatically indexed
SQL infoSupport of SQLnonoyesRead-only SQL queries, including JOINs
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful HTTP APIJDBC
ODBC
HTTP REST
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Clojure
Java
C
Java
Perl
Python
R
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsyesno
TriggersnoBy using transaction functionsyesno
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersShardingAutomatic sharding
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.none infoBut extensive use of caching in the application peersSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesno
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-restyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)nofine grained access rights according to SQL-standardAccess rights for users and organizations can be defined via Rockset console

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More resources
Amazon NeptuneDatomicGreenplumRockset
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