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DBMS > Amazon Neptune vs. Apache Druid vs. Apache Impala vs. PostGIS vs. Riak KV

System Properties Comparison Amazon Neptune vs. Apache Druid vs. Apache Impala vs. PostGIS vs. Riak KV

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonApache Druid  Xexclude from comparisonApache Impala  Xexclude from comparisonPostGIS  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAnalytic DBMS for HadoopSpatial extension of PostgreSQLDistributed, fault tolerant key-value store
Primary database modelGraph DBMS
RDF store
Relational DBMS
Time Series DBMS
Relational DBMSSpatial DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websiteaws.amazon.com/­neptunedruid.apache.orgimpala.apache.orgpostgis.net
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdruid.apache.org/­docs/­latest/­designimpala.apache.org/­impala-docs.htmlpostgis.net/­documentationwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperAmazonApache Software Foundation and contributorsApache Software Foundation infoApache top-level project, originally developed by ClouderaOpenSource, formerly Basho Technologies
Initial release20172012201320052009
Current release29.0.1, April 20244.1.0, June 20223.4.2, February 20243.2.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infoApache Version 2Open Source infoGPL v2.0Open Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++CErlang
Server operating systemshostedLinux
OS X
Unix
LinuxLinux
OS X
Data schemeschema-freeyes infoschema-less columns are supportedyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nononoyesno
Secondary indexesnoyesyesyesrestricted
SQL infoSupport of SQLnoSQL for queryingSQL-like DML and DDL statementsyesno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
RESTful HTTP/JSON API
JDBC
ODBC
HTTP API
Native Erlang Interface
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages supporting JDBC/ODBCC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnonoyes infouser defined functions and integration of map-reduceuser defined functionsErlang
Triggersnononoyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infomanual/auto, time-basedShardingyes infobased on PostgreSQLSharding infono "single point of failure"
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, via HDFS, S3 or other storage enginesselectable replication factoryes infobased on PostgreSQLselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReducenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonoyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)RBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyes infobased on PostgreSQLyes, using Riak Security

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More resources
Amazon NeptuneApache DruidApache ImpalaPostGISRiak KV
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