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DBMS > Google BigQuery vs. JanusGraph vs. Microsoft Azure Cosmos DB

System Properties Comparison Google BigQuery vs. JanusGraph vs. Microsoft Azure Cosmos DB

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesA 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 service
Primary database modelRelational DBMSGraph DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.90
Rank#19  Overall
#13  Relational DBMS
Score1.91
Rank#135  Overall
#12  Graph DBMS
Score29.85
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websitecloud.google.com/­bigqueryjanusgraph.orgazure.microsoft.com/­services/­cosmos-db
Technical documentationcloud.google.com/­bigquery/­docsdocs.janusgraph.orglearn.microsoft.com/­azure/­cosmos-db
DeveloperGoogleLinux Foundation; originally developed as Titan by AureliusMicrosoft
Initial release201020172014
Current release0.6.3, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedLinux
OS X
Unix
Windows
hosted
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infoJSON types
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 indexesnoyesyes infoAll properties auto-indexed by default
SQL infoSupport of SQLyesnoSQL-like query language
APIs and other access methodsRESTful HTTP/JSON APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Clojure
Java
Python
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyesJavaScript
TriggersnoyesJavaScript
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 service
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics enginewith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
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
Foreign keys infoReferential integritynoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)User authentification and security via Rexster Graph ServerAccess rights can be defined down to the item level

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More resources
Google BigQueryJanusGraph infosuccessor of TitanMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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