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DBMS > Elasticsearch vs. ObjectBox vs. PlanetScale

System Properties Comparison Elasticsearch vs. ObjectBox vs. PlanetScale

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonObjectBox  Xexclude from comparisonPlanetScale  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 metricLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsScalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelSearch engineObject oriented DBMS
Vector DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Time Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score128.79
Rank#8  Overall
#1  Search engines
Score1.08
Rank#179  Overall
#6  Object oriented DBMS
#9  Vector DBMS
Score1.09
Rank#178  Overall
#82  Relational DBMS
Websitewww.elastic.co/­elasticsearchgithub.com/­objectbox
objectbox.io
planetscale.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.objectbox.ioplanetscale.com/­docs
DeveloperElasticObjectBox LimitedPlanetScale
Initial release201020172020
Current release8.6, January 20234.0 (May 2024)
License infoCommercial or Open SourceOpen Source infoElastic LicenseBindings are released under Apache 2.0 infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++Go
Server operating systemsAll OS with a Java VMAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Docker
Linux
macOS
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes
Typing infopredefined data types such as float or dateyesyes, plus "flex" map-like typesyes
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.nono
Secondary indexesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLSQL-like query languagenoyes infowith proprietary extensions
APIs and other access methodsJava API
RESTful HTTP/JSON API
Proprietary native APIADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesnoyes infoproprietary syntax
Triggersyes infoby using the 'percolation' featurenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesData sync between devices allowing occasional connected databases to work completely offlineMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornono
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 Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationnoyes
User concepts infoAccess controlyesUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
ElasticsearchObjectBoxPlanetScale
News

MongoDB Realm & Device Sync alternatives – ObjectBox
17 September 2024

Local AI – what it is and why we need it
11 September 2024

First on-device Vector Database (aka Semantic Index) for iOS
24 July 2024

Retrieval Augmented Generation (RAG) with vector databases: Expanding AI Capabilities
18 June 2024

The on-device Vector Database for Android and Java
29 May 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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More resources
ElasticsearchObjectBoxPlanetScale
DB-Engines blog posts

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2 March 2016, Paul Andlinger

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Recent citations in the news

Elasticsearch will be open source again as CTO declares changed landscape
2 September 2024, DevClass

Unsecured Elasticsearch cluster exposes over 3M vehicle records
18 September 2024, SC Media

The Elasticsearch cloud now subject to open-source licence
3 September 2024, TechHQ

Elasticsearch Open Inference API Extends Support for Hugging Face Models with Semantic Text
12 September 2024, Yahoo Finance

Elastic Announces Open Source License for Elasticsearch and Kibana Source Code
29 August 2024, businesswire.com

provided by Google News

PlanetScale ends free tier bid, sheds staff in profitability bid
11 March 2024, The Register

PlanetScale Insights Anomalies introduces smart query monitoring
29 November 2023, SDTimes.com

PlanetScale forks MySQL to add vector support
3 October 2023, TechCrunch

Top Database as a Service (DBaaS) Startups
28 August 2024, Tracxn

PlanetScale review: Horizontally scalable MySQL in the cloud
1 September 2021, InfoWorld

provided by Google News



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