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DBMS > Amazon Neptune vs. EsgynDB vs. HEAVY.AI vs. OrigoDB vs. RRDtool

System Properties Comparison Amazon Neptune vs. EsgynDB vs. HEAVY.AI vs. OrigoDB vs. RRDtool

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonEsgynDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonOrigoDB  Xexclude from comparisonRRDtool  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA fully ACID in-memory object graph databaseIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSDocument store
Object oriented DBMS
Time Series 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
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Websiteaws.amazon.com/­neptunewww.esgyn.cngithub.com/­heavyai/­heavydb
www.heavy.ai
origodb.comoss.oetiker.ch/­rrdtool
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.heavy.aiorigodb.com/­docsoss.oetiker.ch/­rrdtool/­doc
DeveloperAmazonEsgynHEAVY.AI, Inc.Robert Friberg et alTobias Oetiker
Initial release2017201520162009 infounder the name LiveDB1999
Current release5.10, January 20221.8.0, 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; enterprise edition availableOpen SourceOpen Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaC++ and CUDAC#C infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemshostedLinuxLinuxLinux
Windows
HP-UX
Linux
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesUser defined using .NET types and collectionsNumeric data only
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.nononono infocan be achieved using .NETno infoExporting into and restoring from XML files possible
Secondary indexesnoyesnoyesno
SQL infoSupport of SQLnoyesyesnono
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
JDBC
ODBC
Thrift
Vega
.NET Client API
HTTP API
LINQ
in-process shared library
Pipes
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC/ADO.NetAll languages supporting JDBC/ODBC/Thrift
Python
.NetC infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-side scripts infoStored proceduresnoJava Stored Proceduresnoyesno
Triggersnononoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoRound robinhorizontal partitioning infoclient side managed; servers are not synchronizednone
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 replication between multi datacentersMulti-source replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
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-standardfine grained access rights according to SQL-standardRole based authorizationno

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