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DBMS > Amazon Neptune vs. Hive vs. Ignite vs. JSqlDb vs. PlanetScale

System Properties Comparison Amazon Neptune vs. Hive vs. Ignite vs. JSqlDb vs. PlanetScale

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonHive  Xexclude from comparisonIgnite  Xexclude from comparisonJSqlDb  Xexclude from comparisonPlanetScale  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionFast, reliable graph database built for the clouddata warehouse software for querying and managing large distributed datasets, built on HadoopApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.JavaScript Query Language Database, stores JavaScript objects and primitivesScalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelGraph DBMS
RDF store
Relational DBMSKey-value store
Relational DBMS
Document store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial 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
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Websiteaws.amazon.com/­neptunehive.apache.orgignite.apache.orgjsqldb.org (offline)planetscale.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcescwiki.apache.org/­confluence/­display/­Hive/­Homeapacheignite.readme.io/­docsplanetscale.com/­docs
DeveloperAmazonApache Software Foundation infoinitially developed by FacebookApache Software FoundationKonrad von BackstromPlanetScale
Initial release20172012201520182020
Current release3.1.3, April 2022Apache Ignite 2.60.8, December 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, Java, .NetGo
Server operating systemshostedAll OS with a Java VMLinux
OS X
Solaris
Windows
Linux
macOS
Windows
Docker
Linux
macOS
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.noyesno
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsANSI-99 for query and DML statements, subset of DDLnoyes infowith proprietary extensions
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
Thrift
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C++
Java
PHP
Python
C#
C++
Java
PHP
Python
Ruby
Scala
JavaScriptAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyes (compute grid and cache interceptors can be used instead)functions in JavaScriptyes infoproprietary syntax
Triggersnonoyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnoneSharding
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.selectable replication factoryes (replicated cache)noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyes infoRelationships in graphsnononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes infousing RocksDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and rolesSecurity Hooks for custom implementationsUsers with fine-grained authorization concept infono user groups or roles

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More resources
Amazon NeptuneHiveIgniteJSqlDbPlanetScale
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