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DBMS > Amazon Neptune vs. IBM Db2 warehouse vs. InfinityDB vs. Microsoft Azure Table Storage vs. OpenEdge

System Properties Comparison Amazon Neptune vs. IBM Db2 warehouse vs. InfinityDB vs. Microsoft Azure Table Storage vs. OpenEdge

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonInfinityDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOpenEdge  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudCloud-based data warehousing serviceA Java embedded Key-Value Store which extends the Java Map interfaceA Wide Column Store for rapid development using massive semi-structured datasetsApplication development environment with integrated database management system
Primary database modelGraph DBMS
RDF store
Relational DBMSKey-value storeWide column storeRelational 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
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score0.00
Rank#378  Overall
#57  Key-value stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Score3.51
Rank#86  Overall
#46  Relational DBMS
Websiteaws.amazon.com/­neptunewww.ibm.com/­products/­db2/­warehouseboilerbay.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.progress.com/­openedge
Technical documentationaws.amazon.com/­neptune/­developer-resourcesboilerbay.com/­infinitydb/­manualdocumentation.progress.com/­output/­ua/­OpenEdge_latest
DeveloperAmazonIBMBoiler Bay Inc.MicrosoftProgress Software Corporation
Initial release20172014200220121984
Current release4.0OpenEdge 12.2, March 2020
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedhostedAll OS with a Java VMhostedAIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyes
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 infoImport/export of XML data possiblenonoyes
Secondary indexesnoyesno infomanual creation possible, using inversions based on multi-value capabilitynoyes
SQL infoSupport of SQLnoyesnonoyes infoclose to SQL 92
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
.NET Client API
JDBC
ODBC
OLE DB
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
RESTful HTTP APIJDBC
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Java.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Progress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored proceduresnoPL/SQL, SQL PLnonoyes
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding infoImplicit feature of the cloud servicehorizontal partitioning infosince Version 11.4
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.yesnoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesno infomanual creation possible, using inversions based on multi-value capabilitynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsoptimistic lockingACID
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.yesnonono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardnoAccess rights based on private key authentication or shared access signaturesUsers and groups

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More resources
Amazon NeptuneIBM Db2 warehouse infoformerly named IBM dashDBInfinityDBMicrosoft Azure Table StorageOpenEdge
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