DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Hawkular Metrics vs. MaxDB vs. PouchDB

System Properties Comparison Hawkular Metrics vs. MaxDB vs. PouchDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A robust and reliable RDBMS optimized to run all major SAP solutionsJavaScript DBMS with an API inspired by CouchDB
Primary database modelTime Series DBMSRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#374  Overall
#38  Time Series DBMS
Score2.65
Rank#111  Overall
#55  Relational DBMS
Score2.35
Rank#116  Overall
#22  Document stores
Websitewww.hawkular.orgmaxdb.sap.compouchdb.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidemaxdb.sap.com/­documentationpouchdb.com/­guides
DeveloperCommunity supported by Red HatSAP, acquired from Software AG (Adabas-D) in 1997Apache Software Foundation
Initial release201419842012
Current release7.9.10.12, February 20247.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoLimited community edition freeOpen Source
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++JavaScript
Server operating systemsLinux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesschema-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.nonono
Secondary indexesnoyesyes infovia views
SQL infoSupport of SQLnoyesno
APIs and other access methodsHTTP RESTADO.NET
JDBC
ODBC
WebDAV
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesGo
Java
Python
Ruby
.Net
C#
Java
Perl
PHP
Python
JavaScript
Server-side scripts infoStored proceduresnoyesView functions in JavaScript
Triggersyes infovia Hawkular Alertingyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandranoneSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes 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.nonoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardno

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 MetricsMaxDB infoformerly named Adabas-DPouchDB
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

SAP Content Server High Availability using Amazon EFS and SUSE | Amazon Web Services
30 December 2020, AWS Blog

SAP Aligns Mainstream Maintenance Commitments Across Its Enterprise Solutions
11 August 2020, SAP News

SIOS looks to boost SAP HANA automated replication
29 March 2023, TechTarget

Dear SAP, Why Don't You Make Hana A Success?
28 July 2021, E3zine.com

Alibaba Cloud Offers Access to SAP Software for Customers
5 June 2018, Alizila

provided by Google News

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

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

3 Reasons To Think Offline First
22 March 2017, IBM

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

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

provided by Google News



Share this page

Featured Products

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

SingleStore logo

Build AI apps with Vectors on SQL and JSON with milliseconds response times.
Try it today.

Neo4j logo

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

Milvus logo

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

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

Present your product here