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DBMS > AnzoGraph DB vs. Databend vs. PouchDB vs. XTDB

System Properties Comparison AnzoGraph DB vs. Databend vs. PouchDB vs. XTDB

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonDatabend  Xexclude from comparisonPouchDB  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityJavaScript DBMS with an API inspired by CouchDBA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score0.18
Rank#332  Overall
#46  Document stores
Websitecambridgesemantics.com/­anzographgithub.com/­datafuselabs/­databend
www.databend.com
pouchdb.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.databend.compouchdb.com/­guideswww.xtdb.com/­docs
DeveloperCambridge SemanticsDatabend LabsApache Software FoundationJuxt Ltd.
Initial release2018202120122019
Current release2.3, January 20211.0.59, April 20237.1.1, June 20191.19, September 2021
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2.0Open SourceOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustJavaScriptClojure
Server operating systemsLinuxhosted
Linux
macOS
server-less, requires a JavaScript environment (browser, Node.js)All OS with a Java 8 (and higher) VM
Linux
Data schemeSchema-free and OWL/RDFS-schema supportyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyes, extensible-data-notation format
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.nononono
Secondary indexesnonoyes infovia viewsyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yesnolimited SQL, making use of Apache Calcite
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
CLI Client
JDBC
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
HTTP REST
JDBC
Supported programming languagesC++
Java
Python
Go
Java
JavaScript (Node.js)
Python
Rust
JavaScriptClojure
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoView functions in JavaScriptno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusternoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and rolesUsers with fine-grained authorization concept, user rolesno

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More resources
AnzoGraph DBDatabendPouchDBXTDB infoformerly named Crux
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