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DBMS > InfinityDB vs. Memgraph vs. Microsoft Azure Cosmos DB vs. Microsoft Azure Table Storage vs. RDF4J

System Properties Comparison InfinityDB vs. Memgraph vs. Microsoft Azure Cosmos DB vs. Microsoft Azure Table Storage vs. RDF4J

Editorial information provided by DB-Engines
NameInfinityDB  Xexclude from comparisonMemgraph  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionA Java embedded Key-Value Store which extends the Java Map interfaceAn open source graph database built for real-time streaming and compatible with Neo4jGlobally distributed, horizontally scalable, multi-model database serviceA Wide Column Store for rapid development using massive semi-structured datasetsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelKey-value storeGraph DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Wide column storeRDF store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#378  Overall
#57  Key-value stores
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.69
Rank#230  Overall
#9  RDF stores
Websiteboilerbay.commemgraph.comazure.microsoft.com/­services/­cosmos-dbazure.microsoft.com/­en-us/­services/­storage/­tablesrdf4j.org
Technical documentationboilerbay.com/­infinitydb/­manualmemgraph.com/­docslearn.microsoft.com/­azure/­cosmos-dbrdf4j.org/­documentation
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperBoiler Bay Inc.Memgraph LtdMicrosoftMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20022017201420122004
Current release4.0
License infoCommercial or Open SourcecommercialOpen Source infoBSL 1.1; commercial license for enterprise edition availablecommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++Java
Server operating systemsAll OS with a Java VMLinuxhostedhostedLinux
OS X
Unix
Windows
Data schemeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-free and schema-optionalschema-freeschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyes infoJSON typesyesyes
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.nonono
Secondary indexesno infomanual creation possible, using inversions based on multi-value capabilityyes infoAll properties auto-indexed by defaultnoyes
SQL infoSupport of SQLnonoSQL-like query languagenono
APIs and other access methodsAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Bolt protocol
Cypher query language
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
RESTful HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesJava.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresnoJavaScriptnoyes
TriggersnoJavaScriptnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infodynamic graph partitioningSharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication using RAFTyes infoImplicit feature of the cloud serviceyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infomanual creation possible, using inversions based on multi-value capabilityyes inforelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoOptimistic locking for transactions; no isolation for bulk loadsACID infowith snapshot isolationMulti-item ACID transactions with snapshot isolation within a partitionoptimistic lockingACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnoUsers, roles and permissionsAccess rights can be defined down to the item levelAccess rights based on private key authentication or shared access signaturesno
More information provided by the system vendor
InfinityDBMemgraphMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft Azure Table StorageRDF4J infoformerly known as Sesame
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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More resources
InfinityDBMemgraphMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft Azure Table StorageRDF4J infoformerly known as Sesame
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