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DBMS > Amazon Neptune vs. Ehcache vs. EJDB vs. Informix

System Properties Comparison Amazon Neptune vs. Ehcache vs. EJDB vs. Informix

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonEhcache  Xexclude from comparisonEJDB  Xexclude from comparisonInformix  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA widely adopted Java cache with tiered storage optionsEmbeddable document-store database library with JSON representation of queries (in MongoDB style)A secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things data
Primary database modelGraph DBMS
RDF store
Key-value storeDocument storeRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDB
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score4.89
Rank#67  Overall
#8  Key-value stores
Score0.27
Rank#297  Overall
#44  Document stores
Score17.87
Rank#35  Overall
#22  Relational DBMS
Websiteaws.amazon.com/­neptunewww.ehcache.orggithub.com/­Softmotions/­ejdbwww.ibm.com/­products/­informix
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.ehcache.org/­documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
DeveloperAmazonTerracotta Inc, owned by Software AGSoftmotionsIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.
Initial release2017200920121984
Current release3.10.0, March 202214.10.FC5, November 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoGPLv2commercial infofree developer edition available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC, C++ and Java
Server operating systemshostedAll OS with a Java VMserver-lessAIX
HP-UX
Linux
macOS
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, bool, date, object_idyes infoSince Version 12.10 support for JSON/BSON datatypes
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 indexesnononoyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JCachein-process shared libraryJDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
JavaActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnononoyes
Triggersnoyes infoCache Event Listenersnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using Terracotta ServernoneSharding
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 infoby using Terracotta ServernoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnono infotypically not needed, however similar functionality with collection joins possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourcenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/Write Lockingyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyes infousing a tiered cache-storage approachyesyes
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)nonoUsers with fine-grained authentication, authorization, and auditing controls

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More resources
Amazon NeptuneEhcacheEJDBInformix
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