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DBMS > Amazon Neptune vs. HEAVY.AI vs. Hypertable vs. Lovefield

System Properties Comparison Amazon Neptune vs. HEAVY.AI vs. Hypertable vs. Lovefield

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHypertable  Xexclude from comparisonLovefield  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionFast, reliable graph database built for the cloudA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareAn open source BigTable implementation based on distributed file systems such as HadoopEmbeddable relational database for web apps written in pure JavaScript
Primary database modelGraph DBMS
RDF store
Relational DBMSWide column storeRelational DBMS
Secondary database modelsSpatial 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
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Websiteaws.amazon.com/­neptunegithub.com/­heavyai/­heavydb
www.heavy.ai
google.github.io/­lovefield
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.heavy.aigithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperAmazonHEAVY.AI, Inc.Hypertable Inc.Google
Initial release2017201620092014
Current release5.10, January 20220.9.8.11, March 20162.1.12, February 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ and CUDAC++JavaScript
Server operating systemshostedLinuxLinux
OS X
Windows infoan inofficial Windows port is available
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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
Secondary indexesnonorestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLnoyesnoSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
Thrift
Vega
C++ API
Thrift
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC/Thrift
Python
C++
Java
Perl
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresnononono
TriggersnononoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robinShardingnone
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.Multi-source replicationselectable replication factor on file system levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDB
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-standardnono

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More resources
Amazon NeptuneHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HypertableLovefield
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