DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Elasticsearch vs. Lovefield vs. OpenQM vs. PouchDB vs. Qdrant

System Properties Comparison Elasticsearch vs. Lovefield vs. OpenQM vs. PouchDB vs. Qdrant

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonLovefield  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonPouchDB  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricEmbeddable relational database for web apps written in pure JavaScriptQpenQM is a high-performance, self-tuning, multi-value DBMSJavaScript DBMS with an API inspired by CouchDBA high-performance vector database with neural network or semantic-based matching
Primary database modelSearch engineRelational DBMSMultivalue DBMSDocument storeVector DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score135.35
Rank#7  Overall
#1  Search engines
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websitewww.elastic.co/­elasticsearchgoogle.github.io/­lovefieldwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmpouchdb.comgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdpouchdb.com/­guidesqdrant.tech/­documentation
DeveloperElasticGoogleRocket Software, originally Martin PhillipsApache Software FoundationQdrant
Initial release20102014199320122021
Current release8.6, January 20232.1.12, February 20173.4-127.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoApache 2.0Open Source infoGPLv2, extended commercial license availableOpen SourceOpen Source infoApache Version 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 languageJavaJavaScriptJavaScriptRust
Server operating systemsAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)Docker
Linux
macOS
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes infowith some exceptionsschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoNumbers, Strings, Geo, Boolean
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.nonoyesnono
Secondary indexesyes infoAll search fields are automatically indexedyesyesyes infovia viewsyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLSQL-like query languageSQL-like query language infovia JavaScript builder patternnonono
APIs and other access methodsJava API
RESTful HTTP/JSON API
HTTP REST infoonly for PouchDB Server
JavaScript API
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
JavaScript.Net
Basic
C
Java
Objective C
PHP
Python
JavaScript.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyesnoyesView functions in JavaScript
Triggersyes infoby using the 'percolation' featureUsing read-only observersyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyesSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Collection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyEventual ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes 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.Memcached and Redis integrationyes infousing MemoryDByesyes
User concepts infoAccess controlnoAccess rights can be defined down to the item levelnoKey-based authentication

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
ElasticsearchLovefieldOpenQM infoalso called QMPouchDBQdrant
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

Elasticsearch moved into the top 10 most popular database management systems
3 July 2017, Matthias Gelbmann

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

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

Elasticsearch Open Inference API Now Supports Microsoft Azure AI Studio
22 May 2024, Business Wire

Announcing Search AI Lake and Elastic Cloud Serverless to Scale Low Latency Search
21 May 2024, insider.govtech.com

Splunk vs Elasticsearch | A Comparison and How to Choose
12 January 2024, SentinelOne

Netflix Uses Elasticsearch Percolate Queries to Implement Reverse Searches Efficiently
29 April 2024, InfoQ.com

Elasticsearch Delivers Performance Increase for Users Running the Elastic Search AI Platform on Arm-based ...
21 May 2024, Business Wire

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

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

Open source vector database startup Qdrant raises $28M
23 January 2024, TechCrunch

Qdrant offers managed vector database for hybrid clouds
16 April 2024, InfoWorld

Qdrant Announces an Industry-First Hybrid Cloud Offering For Enterprise AI Applications
16 April 2024, Business Wire

Qdrant Hybrid Cloud is Now Available for OCI Customers: Managed Vector Search Engine for Data-Sensitive AI ...
16 April 2024, blogs.oracle.com

Qdrant launches first vector database as a managed hybrid cloud
16 April 2024, VentureBeat

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.

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

SingleStore logo

The database to transact, analyze and contextualize your data in real time.
Try it today.

Milvus logo

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

Present your product here