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DBMS > AgensGraph vs. Hawkular Metrics vs. PouchDB vs. RavenDB

System Properties Comparison AgensGraph vs. Hawkular Metrics vs. PouchDB vs. RavenDB

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonPouchDB  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.JavaScript DBMS with an API inspired by CouchDBOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelGraph DBMS
Relational DBMS
Time Series DBMSDocument storeDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score2.92
Rank#101  Overall
#18  Document stores
Websitebitnine.net/­agensgraphwww.hawkular.orgpouchdb.comravendb.net
Technical documentationbitnine.net/­documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidepouchdb.com/­guidesravendb.net/­docs
DeveloperBitnine Global Inc.Community supported by Red HatApache Software FoundationHibernating Rhinos
Initial release2016201420122010
Current release2.1, December 20187.1.1, June 20195.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache 2.0Open SourceOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaJavaScriptC#
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Raspberry Pi
Windows
Data schemedepending on used data modelschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnono
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.nonono
Secondary indexesyesnoyes infovia viewsyes
SQL infoSupport of SQLyesnonoSQL-like query language (RQL)
APIs and other access methodsCypher Query Language
JDBC
HTTP RESTHTTP REST infoonly for PouchDB Server
JavaScript API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC
Java
JavaScript
Python
Go
Java
Python
Ruby
JavaScript.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnoView functions in JavaScriptyes
Triggersnoyes infovia Hawkular Alertingyesyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infobased on CassandraSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on CassandraMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnonoAuthorization levels configured per client per database

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More resources
AgensGraphHawkular MetricsPouchDBRavenDB
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