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DBMS > Amazon Neptune vs. atoti vs. Ehcache vs. Sadas Engine vs. Solr

System Properties Comparison Amazon Neptune vs. atoti vs. Ehcache vs. Sadas Engine vs. Solr

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonatoti  Xexclude from comparisonEhcache  Xexclude from comparisonSadas Engine  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A widely adopted Java cache with tiered storage optionsSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelGraph DBMS
RDF store
Object oriented DBMSKey-value storeRelational DBMSSearch engine
Secondary database modelsSpatial 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
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score4.89
Rank#67  Overall
#8  Key-value stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websiteaws.amazon.com/­neptuneatoti.iowww.ehcache.orgwww.sadasengine.comsolr.apache.org
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.atoti.iowww.ehcache.org/­documentationwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationsolr.apache.org/­resources.html
DeveloperAmazonActiveViamTerracotta Inc, owned by Software AGSADAS s.r.l.Apache Software Foundation
Initial release2017200920062006
Current release3.10.0, March 20228.09.6.0, April 2024
License infoCommercial or Open Sourcecommercialcommercial infofree versions availableOpen Source infoApache Version 2; commercial licenses availablecommercial infofree trial version availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++Java
Server operating systemshostedAll OS with a Java VMAIX
Linux
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typing
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.nononoyes
Secondary indexesnonoyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoMultidimensional Expressions (MDX)noyesSolr Parallel SQL Interface
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JCacheJDBC
ODBC
Proprietary protocol
Java API
RESTful HTTP/JSON API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Java.Net
C
C#
C++
Groovy
Java
PHP
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoPythonnonoJava plugins
Triggersnoyes infoCache Event Listenersnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioningSharding infoby using Terracotta Serverhorizontal partitioningSharding
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 Servernoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
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.yesyesyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noAccess rights for users, groups and roles according to SQL-standardyes

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More resources
Amazon NeptuneatotiEhcacheSadas EngineSolr
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