DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Hawkular Metrics vs. Oracle Coherence vs. PouchDB vs. RisingWave

System Properties Comparison Hawkular Metrics vs. Oracle Coherence vs. PouchDB vs. RisingWave

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonOracle Coherence  Xexclude from comparisonPouchDB  Xexclude from comparisonRisingWave  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Oracles in-memory data grid solutionJavaScript DBMS with an API inspired by CouchDBA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelTime Series DBMSKey-value storeDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Score2.34
Rank#112  Overall
#21  Document stores
Score0.64
Rank#238  Overall
#110  Relational DBMS
Websitewww.hawkular.orgwww.oracle.com/­java/­coherencepouchdb.comwww.risingwave.com/­database
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.oracle.com/­en/­middleware/­standalone/­coherencepouchdb.com/­guidesdocs.risingwave.com/­docs/­current/­intro
DeveloperCommunity supported by Red HatOracleApache Software FoundationRisingWave Labs
Initial release2014200720122022
Current release14.1, August 20237.1.1, June 20191.2, September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJavaScriptRust
Server operating systemsLinux
OS X
Windows
All OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)Docker
Linux
macOS
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoStandard SQL-types and JSON
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 SQLnononoyes
APIs and other access methodsHTTP RESTJCache
JPA
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
PostgreSQL wire protocol
Supported programming languagesGo
Java
Python
Ruby
.Net
C++
Java
JavaScriptGo
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoView functions in JavaScriptUDFs in Python or Java
Triggersyes infovia Hawkular Alertingyes infoLive Eventsyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes, with selectable consistency levelMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoconfigurablenono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infooptionallyyes 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.noyesyesyes
User concepts infoAccess controlnoauthentification to access the cache via certificates or http basic authenticationnoUsers and Roles

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Hawkular MetricsOracle CoherencePouchDBRisingWave
DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

show all

Recent citations in the news

Waiting for Red Hat OpenShift 4.0? Too late, 4.1 has already arrived… • DEVCLASS
5 June 2019, DevClass

provided by Google News

Create custom Event Compression Policies in Enterprise Manager to reduce event noise
21 September 2023, Oracle

Microservices with Major New Coherence and Helidon Releases
9 August 2022, Oracle

Nike achieves scalability and performance with Oracle Coherence & Exadata
20 December 2012, Oracle

Oracle releases free open source Oracle Coherence community edition
28 June 2020, iTWire

Use your Universal Credits with Oracle WebLogic Server for OKE
15 October 2020, Oracle

provided by Google News

Building an Offline First App with PouchDB — SitePoint
10 March 2014, SitePoint

Create Offline Web Apps Using Service Workers & PouchDB — SitePoint
7 March 2017, SitePoint

3 Reasons To Think Offline First
22 March 2017, IBM

Getting Started with PouchDB Client-Side JavaScript Database — SitePoint
7 September 2016, SitePoint

Offline-first web and mobile apps: Top frameworks and components
22 January 2019, TechBeacon

provided by Google News

Streaming Databases: Embracing the Convergence of Stream Processing and Databases
17 May 2024, InfoQ.com

RisingWave Cloud Democratizes Event Stream Processing, Making It Affordable at Cloud Scale
27 June 2023, Datanami

Ibis 8 Adds Streaming
5 March 2024, iProgrammer

Building a Formula 1 Streaming Data Pipeline With Kafka and Risingwave
5 September 2023, KDnuggets

As the world ages, cancer cases are projected to rise, hitting some countries like ‘a tidal wave’
4 April 2024, CNN

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here