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DBMS > Amazon DocumentDB vs. JanusGraph vs. Microsoft Azure Cosmos DB vs. Teradata Aster

System Properties Comparison Amazon DocumentDB vs. JanusGraph vs. Microsoft Azure Cosmos DB vs. Teradata Aster

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Globally distributed, horizontally scalable, multi-model database servicePlatform for big data analytics on multistructured data sources and types
Primary database modelDocument storeGraph DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.80
Rank#148  Overall
#25  Document stores
Score2.04
Rank#135  Overall
#11  Graph DBMS
Score30.39
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websiteaws.amazon.com/­documentdbjanusgraph.orgazure.microsoft.com/­services/­cosmos-db
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.janusgraph.orglearn.microsoft.com/­azure/­cosmos-db
DeveloperLinux Foundation; originally developed as Titan by AureliusMicrosoftTeradata
Initial release2019201720142005
Current release0.6.3, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedLinux
OS X
Unix
Windows
hostedLinux
Data schemeschema-freeyesschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesyes infoJSON typesyes
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.nonoyes infoin Aster File Store
Secondary indexesyesyesyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLnonoSQL-like query languageyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Clojure
Java
Python
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyesJavaScriptR packages
TriggersnoyesJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesyes infoImplicit feature of the cloud serviceyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes infovia Faunus, a graph analytics enginewith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*yes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Bounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDMulti-item ACID transactions with snapshot isolation within a partitionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users and rolesUser authentification and security via Rexster Graph ServerAccess rights can be defined down to the item levelfine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBJanusGraph infosuccessor of TitanMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBTeradata Aster
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