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DBMS > LevelDB vs. Microsoft Azure Cosmos DB vs. RDF4J vs. SpaceTime vs. Titan

System Properties Comparison LevelDB vs. Microsoft Azure Cosmos DB vs. RDF4J vs. SpaceTime vs. Titan

Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSpaceTime  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesGlobally distributed, horizontally scalable, multi-model database serviceRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.SpaceTime is a spatio-temporal DBMS with a focus on performance.Titan is a Graph DBMS optimized for distributed clusters.
Primary database modelKey-value storeDocument store
Graph DBMS
Key-value store
Wide column store
RDF storeSpatial DBMSGraph DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.25
Rank#115  Overall
#19  Key-value stores
Score27.71
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Websitegithub.com/­google/­leveldbazure.microsoft.com/­services/­cosmos-dbrdf4j.orgwww.mireo.com/­spacetimegithub.com/­thinkaurelius/­titan
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdlearn.microsoft.com/­azure/­cosmos-dbrdf4j.org/­documentationgithub.com/­thinkaurelius/­titan/­wiki
DeveloperGoogleMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.MireoAurelius, owned by DataStax
Initial release20112014200420202012
Current release1.23, February 2021
License infoCommercial or Open SourceOpen Source infoBSDcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercialOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++Java
Server operating systemsIllumos
Linux
OS X
Windows
hostedLinux
OS X
Unix
Windows
LinuxLinux
OS X
Unix
Windows
Data schemeschema-freeschema-freeyes infoRDF Schemasyesyes
Typing infopredefined data types such as float or datenoyes infoJSON typesyesyesyes
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
Secondary indexesnoyes infoAll properties auto-indexed by defaultyesnoyes
SQL infoSupport of SQLnoSQL-like query languagenoA subset of ANSI SQL is implementedno
APIs and other access methodsDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
RESTful HTTP APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Java
PHP
Python
C#
C++
Python
Clojure
Java
Python
Server-side scripts infoStored proceduresnoJavaScriptyesnoyes
TriggersnoJavaScriptyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud servicenoneFixed-grid hypercubesyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud servicenoneReal-time block device replication (DRBD)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nonoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-item ACID transactions with snapshot isolation within a partitionACID infoIsolation support depends on the API usednoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyesyes infoin-memory storage is supported as wellyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnoAccess rights can be defined down to the item levelnoyesUser authentification and security via Rexster Graph Server

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More resources
LevelDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBRDF4J infoformerly known as SesameSpaceTimeTitan
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