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. Microsoft Access vs. Neo4j vs. NSDb vs. PouchDB

System Properties Comparison Hawkular Metrics vs. Microsoft Access vs. Neo4j vs. NSDb vs. PouchDB

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonNeo4j  Xexclude from comparisonNSDb  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.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesJavaScript DBMS with an API inspired by CouchDB
Primary database modelTime Series DBMSRelational DBMSGraph DBMSTime Series DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score44.89
Rank#21  Overall
#1  Graph DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websitewww.hawkular.orgwww.microsoft.com/­en-us/­microsoft-365/­accessneo4j.comnsdb.iopouchdb.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedeveloper.microsoft.com/­en-us/­accessneo4j.com/­docsnsdb.io/­Architecturepouchdb.com/­guides
DeveloperCommunity supported by Red HatMicrosoftNeo4j, Inc.Apache Software Foundation
Initial release20141992200720172012
Current release1902 (16.0.11328.20222), March 20195.20, May 20247.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoBundled with Microsoft OfficeOpen Source infoGPL version3, commercial licenses availableOpen Source infoApache Version 2.0Open Source
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.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageJavaC++Java, ScalaJava, ScalaJavaScript
Server operating systemsLinux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
macOS
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateyesyesyesyes: int, bigint, decimal, stringno
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 infopluggable indexing subsystem, by default Apache Luceneall fields are automatically indexedyes infovia views
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standardnoSQL-like query languageno
APIs and other access methodsHTTP RESTADO.NET
DAO
ODBC
OLE DB
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
gRPC
HTTP REST
WebSocket
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesGo
Java
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Java
Scala
JavaScript
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-engineyes infoUser defined Procedures and FunctionsnoView functions in JavaScript
Triggersyes infovia Hawkular Alertingyes infosince Access 2010 using the ACE-engineyes infovia event handleryes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandranoneyes using Neo4j FabricShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandranoneCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesUsing Apache Luceneyes 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.noyes
User concepts infoAccess controlnono infoa simple user-level security was built in till version Access 2003Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)no
More information provided by the system vendor
Hawkular MetricsMicrosoft AccessNeo4jNSDbPouchDB
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
News

This Week in Neo4j: Importing Data, NODES, GenAI, Going Meta and more
1 June 2024

openCypher Will Pave the Road to GQL for Cypher Implementers
22 May 2024

7 Tips for Submitting Your NODES 2024 Talk
22 May 2024

How to Configure Neo4j Aura With AWS PrivateLink
21 May 2024

This Week in Neo4j: Podcast, GraphRAG, GraphQL, Chatbot and more
18 May 2024

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 MetricsMicrosoft AccessNeo4jNSDbPouchDB
DB-Engines blog posts

MS Access drops in DB-Engines Ranking
2 May 2013, Paul Andlinger

Microsoft SQL Server regained rank 2 in the DB-Engines popularity ranking
3 December 2012, Matthias Gelbmann

New DB-Engines Ranking shows the popularity of database management systems
3 October 2012, Matthias Gelbmann, Paul Andlinger

show all

Applying Graph Analytics to Game of Thrones
12 June 2019, Amy Hodler & Mark Needham, Neo4j (guest author)

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

The openCypher Project: Help Shape the SQL for Graphs
22 December 2015, Emil Eifrem (guest author)

show all

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

Abusing Microsoft Access "Linked Table" Feature to Perform NTLM Forced Authentication Attacks - Check Point Research
9 November 2023, Check Point Research

Hackers Exploit Microsoft Access Feature to Steal Windows User’s NTLM Tokens
11 November 2023, CybersecurityNews

After installing Navisworks, Office 2016 (32-bit) applications stopped launching
8 October 2023, Autodesk Redshift

MS access program to increase awareness and independence of those living with MS and disability
10 July 2023, Nebraska Medicine

How to Connect MS Access to MySQL via ODBC Driver
7 September 2023, TechiExpert.com

provided by Google News

Neo4j Announces Collaboration with Microsoft to Advance GenAI and Data Solutions USA - English - India - English
26 March 2024, PR Newswire

Neo4j CTO says new Graph Query Language standard will have 'massive ripple effects'
26 April 2024, SiliconANGLE News

Neo Technology Announces Neo4j GraphDays Events in Seattle and Silicon Valley
29 May 2024, Yahoo Movies UK

Neo4j Is Planning IPO on Nasdaq, Largest Owner Greenbridge Says
15 February 2024, Bloomberg

Give Your Graph Workload a Cost-Performance Boost with Neo4j and AWS Graviton | Amazon Web Services
27 September 2023, AWS Blog

provided by Google News

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

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

3 Reasons To Think Offline First
22 March 2017, ibm.com

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

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

Present your product here