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DBMS > Amazon Redshift vs. Google BigQuery vs. IBM Cloudant vs. JaguarDB vs. JanusGraph

System Properties Comparison Amazon Redshift vs. Google BigQuery vs. IBM Cloudant vs. JaguarDB vs. JanusGraph

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonJaguarDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsLarge scale data warehouse service with append-only tablesDatabase as a Service offering based on Apache CouchDBPerformant, highly scalable DBMS for AI and IoT applicationsA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017
Primary database modelRelational DBMSRelational DBMSDocument storeKey-value store
Vector DBMS
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score2.68
Rank#106  Overall
#20  Document stores
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Websiteaws.amazon.com/­redshiftcloud.google.com/­bigquerywww.ibm.com/­products/­cloudantwww.jaguardb.comjanusgraph.org
Technical documentationdocs.aws.amazon.com/­redshiftcloud.google.com/­bigquery/­docscloud.ibm.com/­docs/­Cloudantwww.jaguardb.com/­support.htmldocs.janusgraph.org
DeveloperAmazon (based on PostgreSQL)GoogleIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014DataJaguar, Inc.Linux Foundation; originally developed as Titan by Aurelius
Initial release20122010201020152017
Current release3.3 July 20230.6.3, February 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL V3.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCErlangC++ infothe server part. Clients available in other languagesJava
Server operating systemshostedhostedhostedLinuxLinux
OS X
Unix
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nonononono
Secondary indexesrestrictednoyesyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyesnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersno
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON APIRESTful HTTP/JSON APIJDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesAll languages supporting JDBC/ODBC.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Clojure
Java
Python
Server-side scripts infoStored proceduresuser defined functions infoin Pythonuser defined functions infoin JavaScriptView functions (Map-Reduce) in JavaScriptnoyes
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Multi-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying datano infoatomic operations within a document possiblenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.yesnonono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access rights for users can be defined per databaserights management via user accountsUser authentification and security via Rexster Graph Server

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More resources
Amazon RedshiftGoogle BigQueryIBM CloudantJaguarDBJanusGraph infosuccessor of Titan
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