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DBMS > Amazon Neptune vs. FatDB vs. HEAVY.AI vs. Rockset

System Properties Comparison Amazon Neptune vs. FatDB vs. HEAVY.AI vs. Rockset

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonFatDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonRockset  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionFast, reliable graph database built for the cloudA .NET NoSQL DBMS that can integrate with and extend SQL Server.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelGraph DBMS
RDF store
Document store
Key-value store
Relational DBMSDocument store
Secondary database modelsSpatial DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score1.07
Rank#180  Overall
#31  Document stores
Websiteaws.amazon.com/­neptunegithub.com/­heavyai/­heavydb
www.heavy.ai
rockset.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.heavy.aidocs.rockset.com
DeveloperAmazonFatCloudHEAVY.AI, Inc.Rockset
Initial release2017201220162019
Current release5.10, January 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#C++ and CUDAC++
Server operating systemshostedWindowsLinuxhosted
Data schemeschema-freeschema-freeyesschema-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.nonono infoingestion from XML files supported
Secondary indexesnoyesnoall fields are automatically indexed
SQL infoSupport of SQLnono infoVia inetgration in SQL ServeryesRead-only SQL queries, including JOINs
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
ODBC
Thrift
Vega
HTTP REST
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#All languages supporting JDBC/ODBC/Thrift
Python
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes infovia applicationsnono
Triggersnoyes infovia applicationsnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoRound robinAutomatic 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.selectable replication factorMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
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.yes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)no infoCan implement custom security layer via applicationsfine 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 NeptuneFatDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Rockset
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