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DBMS > GridGain vs. Hawkular Metrics vs. PouchDB vs. Prometheus vs. Warp 10

System Properties Comparison GridGain vs. Hawkular Metrics vs. PouchDB vs. Prometheus vs. Warp 10

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonPouchDB  Xexclude from comparisonPrometheus  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteHawkular 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 Time Series DBMS and monitoring systemTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelKey-value store
Relational DBMS
Time Series DBMSDocument storeTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitewww.gridgain.comwww.hawkular.orgpouchdb.comprometheus.iowww.warp10.io
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidepouchdb.com/­guidesprometheus.io/­docswww.warp10.io/­content/­02_Getting_started
DeveloperGridGain Systems, Inc.Community supported by Red HatApache Software FoundationSenX
Initial release20072014201220152015
Current releaseGridGain 8.5.17.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open SourceOpen Source infoApache 2.0Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetJavaJavaScriptGoJava
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
Windows
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoNumeric data onlyyes
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.yesnonono infoImport of XML data possibleno
Secondary indexesyesnoyes infovia viewsnono
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnononono
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP RESTHTTP REST infoonly for PouchDB Server
JavaScript API
RESTful HTTP/JSON APIHTTP API
Jupyter
WebSocket
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Go
Java
Python
Ruby
JavaScript.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noView functions in JavaScriptnoyes infoWarpScript
Triggersyes (cache interceptors and events)yes infovia Hawkular Alertingyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding infowith a proxy-based framework, named couchdb-loungeShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)selectable replication factor infobased on CassandraMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes infoby Federationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencynoneImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesnoyes
User concepts infoAccess controlSecurity Hooks for custom implementationsnononoMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
GridGainHawkular MetricsPouchDBPrometheusWarp 10
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