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DBMS > Amazon Neptune vs. Apache Drill vs. HugeGraph vs. Prometheus

System Properties Comparison Amazon Neptune vs. Apache Drill vs. HugeGraph vs. Prometheus

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonApache Drill  Xexclude from comparisonHugeGraph  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA fast-speed and highly-scalable Graph DBMSOpen-source Time Series DBMS and monitoring system
Primary database modelGraph DBMS
RDF store
Document store
Relational DBMS
Graph DBMSTime Series 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
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websiteaws.amazon.com/­neptunedrill.apache.orggithub.com/­hugegraph
hugegraph.apache.org
prometheus.io
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdrill.apache.org/­docshugegraph.apache.org/­docsprometheus.io/­docs
DeveloperAmazonApache Software FoundationBaidu
Initial release2017201220182015
Current release1.20.3, January 20230.9
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache Version 2.0Open 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 languageJavaGo
Server operating systemshostedLinux
OS X
Windows
Linux
macOS
Unix
Linux
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric 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 infoImport of XML data possible
Secondary indexesnonoyes infoalso supports composite index and range indexno
SQL infoSupport of SQLnoSQL SELECT statement is SQL:2003 compliantnono
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP/JSON API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C++Groovy
Java
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsasynchronous Gremlin script jobsno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
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.yes infodepending on used storage backend, e.g. Cassandra and HBaseyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistencynone
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restDepending on the underlying data sourceyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Depending on the underlying data sourceUsers, roles and permissionsno

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More resources
Amazon NeptuneApache DrillHugeGraphPrometheus
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