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DBMS > Amazon Redshift vs. Apache Pinot vs. Neo4j vs. Riak KV

System Properties Comparison Amazon Redshift vs. Apache Pinot vs. Neo4j vs. Riak KV

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonApache Pinot  Xexclude from comparisonNeo4j  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsDistributed, fault tolerant key-value store
Primary database modelRelational DBMSRelational DBMSGraph DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.25
Rank#38  Overall
#23  Relational DBMS
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score42.68
Rank#21  Overall
#1  Graph DBMS
Score3.84
Rank#76  Overall
#9  Key-value stores
Websiteaws.amazon.com/­redshiftpinot.apache.orgneo4j.com
Technical documentationdocs.aws.amazon.com/­redshiftdocs.pinot.apache.orgneo4j.com/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperAmazon (based on PostgreSQL)Apache Software Foundation and contributorsNeo4j, Inc.OpenSource, formerly Basho Technologies
Initial release2012201520072009
Current release1.0.0, September 20235.23, August 20243.2.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGPL version3, commercial licenses availableOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageCJavaJava, ScalaErlang
Server operating systemshostedAll OS with a Java JDK11 or higherLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
OS X
Data schemeyesyesschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesrestrictedyes infopluggable indexing subsystem, by default Apache Lucenerestricted
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like query languagenono
APIs and other access methodsJDBC
ODBC
JDBCBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
HTTP API
Native Erlang Interface
Supported programming languagesAll languages supporting JDBC/ODBCGo
Java
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C 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 proceduresuser defined functions infoin Pythonyes infoUser defined Procedures and FunctionsErlang
Triggersnoyes infovia event handleryes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningyes using Neo4j FabricSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Eventual Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyes infoRelationships in graphsno infolinks between data sets can be stored
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 persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)yes, using Riak Security
More information provided by the system vendor
Amazon RedshiftApache PinotNeo4jRiak KV
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
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