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DBMS > Amazon Neptune vs. EJDB vs. GridGain vs. Hive vs. TimesTen

System Properties Comparison Amazon Neptune vs. EJDB vs. GridGain vs. Hive vs. TimesTen

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonEJDB  Xexclude from comparisonGridGain  Xexclude from comparisonHive  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudEmbeddable document-store database library with JSON representation of queries (in MongoDB style)GridGain is an in-memory computing platform, built on Apache Ignitedata warehouse software for querying and managing large distributed datasets, built on HadoopIn-Memory RDBMS compatible to Oracle
Primary database modelGraph DBMS
RDF store
Document storeKey-value store
Relational DBMS
Relational DBMSRelational 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
Score0.27
Rank#297  Overall
#44  Document stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websiteaws.amazon.com/­neptunegithub.com/­Softmotions/­ejdbwww.gridgain.comhive.apache.orgwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationaws.amazon.com/­neptune/­developer-resourcesgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.gridgain.com/­docs/­index.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.oracle.com/­database/­timesten-18.1
DeveloperAmazonSoftmotionsGridGain Systems, Inc.Apache Software Foundation infoinitially developed by FacebookOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20172012200720121998
Current releaseGridGain 8.5.13.1.3, April 202211 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2commercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava, C++, .NetJava
Server operating systemshostedserver-lessLinux
OS X
Solaris
Windows
All OS with a Java VMAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesyesyes
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 indexesnonoyesyesyes
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDLSQL-like DML and DDL statementsyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
in-process shared libraryHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Thrift
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
PHP
Python
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)yes infouser defined functions and integration of map-reducePL/SQL
Triggersnonoyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingShardingnone
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.noneyes (replicated cache)selectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)yes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoRelationships in graphsno infotypically not needed, however similar functionality with collection joins possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes infoby means of logfiles and checkpoints
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)noSecurity Hooks for custom implementationsAccess rights for users, groups and rolesfine grained access rights according to SQL-standard

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More resources
Amazon NeptuneEJDBGridGainHiveTimesTen
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