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DBMS > Amazon Neptune vs. Amazon Redshift vs. Apache Pinot vs. Hive

System Properties Comparison Amazon Neptune vs. Amazon Redshift vs. Apache Pinot vs. Hive

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonAmazon Redshift  Xexclude from comparisonApache Pinot  Xexclude from comparisonHive  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudLarge scale data warehouse service for use with business intelligence toolsRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencydata warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSRelational 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
Score16.88
Rank#35  Overall
#22  Relational DBMS
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Websiteaws.amazon.com/­neptuneaws.amazon.com/­redshiftpinot.apache.orghive.apache.org
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.aws.amazon.com/­redshiftdocs.pinot.apache.orgcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperAmazonAmazon (based on PostgreSQL)Apache Software Foundation and contributorsApache Software Foundation infoinitially developed by Facebook
Initial release2017201220152012
Current release1.0.0, September 20233.1.3, April 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaJava
Server operating systemshostedhostedAll OS with a Java JDK11 or higherAll OS with a Java VM
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nono
Secondary indexesnorestrictedyes
SQL infoSupport of SQLnoyes infodoes not fully support an SQL-standardSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
JDBCJDBC
ODBC
Thrift
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBCGo
Java
Python
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnouser defined functions infoin Pythonyes infouser defined functions and integration of map-reduce
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioningSharding
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.yesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyes infoinformational only, not enforced by the systemno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes
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)fine grained access rights according to SQL-standardAccess rights for users, groups and roles

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More resources
Amazon NeptuneAmazon RedshiftApache PinotHive
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