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DBMS > Amazon Neptune vs. Apache IoTDB vs. LeanXcale vs. OpenEdge vs. Oracle Coherence

System Properties Comparison Amazon Neptune vs. Apache IoTDB vs. LeanXcale vs. OpenEdge vs. Oracle Coherence

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonApache IoTDB  Xexclude from comparisonLeanXcale  Xexclude from comparisonOpenEdge  Xexclude from comparisonOracle Coherence  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesApplication development environment with integrated database management systemOracles in-memory data grid solution
Primary database modelGraph DBMS
RDF store
Time Series DBMSKey-value store
Relational DBMS
Relational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Websiteaws.amazon.com/­neptuneiotdb.apache.orgwww.leanxcale.comwww.progress.com/­openedgewww.oracle.com/­java/­coherence
Technical documentationaws.amazon.com/­neptune/­developer-resourcesiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocumentation.progress.com/­output/­ua/­OpenEdge_latestdocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperAmazonApache Software FoundationLeanXcaleProgress Software CorporationOracle
Initial release20172018201519842007
Current release1.1.0, April 2023OpenEdge 12.2, March 202014.1, August 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemshostedAll OS with a Java VM (>= 1.8)AIX
HP-UX
Linux
Solaris
Windows
All OS with a Java VM
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesno
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoSQL-like query languageyes infothrough Apache Derbyyes infoclose to SQL 92no
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
Native API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JDBC
ODBC
JCache
JPA
RESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
C++
Go
Java
Python
Scala
C
Java
Scala
Progress proprietary ABL (Advanced Business Language).Net
C++
Java
Server-side scripts infoStored proceduresnoyesyesno
Triggersnoyesyesyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by time range) + vertical partitioning (by deviceId)horizontal partitioning infosince Version 11.4Sharding
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 methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-replica replicationyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesUsers and groupsauthentification to access the cache via certificates or http basic authentication

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More resources
Amazon NeptuneApache IoTDBLeanXcaleOpenEdgeOracle Coherence
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