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DBMS > CouchDB vs. JanusGraph vs. Microsoft Azure Synapse Analytics vs. Postgres-XL vs. Vertica

System Properties Comparison CouchDB vs. JanusGraph vs. Microsoft Azure Synapse Analytics vs. Postgres-XL vs. Vertica

Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPostgres-XL  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelDocument storeGraph DBMSRelational DBMSRelational DBMSRelational DBMS infoColumn oriented
Secondary database modelsSpatial DBMS infousing the Geocouch extensionDocument store
Spatial DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.30
Rank#47  Overall
#7  Document stores
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score10.06
Rank#42  Overall
#26  Relational DBMS
Websitecouchdb.apache.orgjanusgraph.orgazure.microsoft.com/­services/­synapse-analyticswww.postgres-xl.orgwww.vertica.com
Technical documentationdocs.couchdb.org/­en/­stabledocs.janusgraph.orgdocs.microsoft.com/­azure/­synapse-analyticswww.postgres-xl.org/­documentationvertica.com/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerLinux Foundation; originally developed as Titan by AureliusMicrosoftOpenText infopreviously Micro Focus and Hewlett Packard
Initial release2005201720162014 infosince 2012, originally named StormDB2005
Current release3.3.3, December 20230.6.3, February 202310 R1, October 201812.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache 2.0commercialOpen Source infoMozilla public licensecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonoyesnono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangJavaC++CC++
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
hostedLinux
macOS
Linux
Data schemeschema-freeyesyesyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nononoyes infoXML type, but no XML query functionalityno
Secondary indexesyes infovia viewsyesyesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnonoyesyes infodistributed, parallel query executionFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsRESTful HTTP/JSON APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Clojure
Java
Python
C#
Java
PHP
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresView functions in JavaScriptyesTransact SQLuser defined functionsyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyesyesnoyesyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0yes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding, horizontal partitioninghorizontal partitioninghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyesMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infovia Faunus, a graph analytics enginenonono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACIDACIDACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users can be defined per databaseUser authentification and security via Rexster Graph Serveryesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"JanusGraph infosuccessor of TitanMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePostgres-XLVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
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Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
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Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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More resources
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"JanusGraph infosuccessor of TitanMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePostgres-XLVertica infoOpenText™ Vertica™
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