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DBMS > AnzoGraph DB vs. Drizzle vs. GigaSpaces vs. PouchDB

System Properties Comparison AnzoGraph DB vs. Drizzle vs. GigaSpaces vs. PouchDB

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonDrizzle  Xexclude from comparisonGigaSpaces  Xexclude from comparisonPouchDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsJavaScript DBMS with an API inspired by CouchDB
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Document store
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score1.02
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score2.35
Rank#116  Overall
#22  Document stores
Websitecambridgesemantics.com/­anzographwww.gigaspaces.compouchdb.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.gigaspaces.com/­latest/­landing.htmlpouchdb.com/­guides
DeveloperCambridge SemanticsDrizzle project, originally started by Brian AkerGigaspaces TechnologiesApache Software Foundation
Initial release2018200820002012
Current release2.3, January 20217.2.4, September 201215.5, September 20207.1.1, June 2019
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoGNU GPLOpen Source infoApache Version 2; Commercial licenses availableOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, C++, .NetJavaScript
Server operating systemsLinuxFreeBSD
Linux
OS X
Linux
macOS
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeSchema-free and OWL/RDFS-schema supportyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesno
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 infoXML can be used for describing objects metadatano
Secondary indexesnoyesyesyes infovia views
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yes infowith proprietary extensionsSQL-99 for query and DML statementsno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBCGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC++
Java
Python
C
C++
Java
PHP
.Net
C++
Java
Python
Scala
JavaScript
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyesView functions in JavaScript
Triggersnono infohooks for callbacks inside the server can be used.yes, event driven architectureyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replication
Source-replica replication
Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoyes infoMap-Reduce pattern can be built with XAP task executorsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users and rolesPluggable authentication mechanisms infoe.g. LDAP, HTTPRole-based access controlno

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More resources
AnzoGraph DBDrizzleGigaSpacesPouchDB
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