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DBMS > Amazon Neptune vs. Hive vs. Microsoft Azure Table Storage vs. OpenEdge vs. TerarkDB

System Properties Comparison Amazon Neptune vs. Hive vs. Microsoft Azure Table Storage vs. OpenEdge vs. TerarkDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonHive  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOpenEdge  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the clouddata warehouse software for querying and managing large distributed datasets, built on HadoopA Wide Column Store for rapid development using massive semi-structured datasetsApplication development environment with integrated database management systemA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelGraph DBMS
RDF store
Relational DBMSWide column storeRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#112  Overall
#9  Graph DBMS
#5  RDF stores
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score4.92
Rank#73  Overall
#6  Wide column stores
Score3.75
Rank#88  Overall
#47  Relational DBMS
Score0.04
Rank#377  Overall
#58  Key-value stores
Websiteaws.amazon.com/­neptunehive.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tableswww.progress.com/­openedgegithub.com/­bytedance/­terarkdb
Technical documentationaws.amazon.com/­neptune/­developer-resourcescwiki.apache.org/­confluence/­display/­Hive/­Homedocumentation.progress.com/­output/­ua/­OpenEdge_latestbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperAmazonApache Software Foundation infoinitially developed by FacebookMicrosoftProgress Software CorporationByteDance, originally Terark
Initial release20172012201219842016
Current release3.1.3, April 2022OpenEdge 12.2, March 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialcommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemshostedAll OS with a Java VMhostedAIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexesnoyesnoyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoyes infoclose to SQL 92no
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
Thrift
RESTful HTTP APIJDBC
ODBC
C++ API
Java API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C++
Java
PHP
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Progress proprietary ABL (Advanced Business Language)C++
Java
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reducenoyesno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning infosince Version 11.4none
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 infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnooptimistic lockingACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
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 rolesAccess rights based on private key authentication or shared access signaturesUsers and groupsno

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More resources
Amazon NeptuneHiveMicrosoft Azure Table StorageOpenEdgeTerarkDB
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