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DBMS > Elasticsearch vs. Google Cloud Spanner vs. JaguarDB vs. PlanetScale

System Properties Comparison Elasticsearch vs. Google Cloud Spanner vs. JaguarDB vs. PlanetScale

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonJaguarDB  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 metricA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Performant, highly scalable DBMS for AI and IoT applicationsScalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelSearch engineRelational DBMSKey-value store
Vector DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score132.83
Rank#7  Overall
#1  Search engines
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#14  Vector DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Websitewww.elastic.co/­elasticsearchcloud.google.com/­spannerwww.jaguardb.complanetscale.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlcloud.google.com/­spanner/­docswww.jaguardb.com/­support.htmlplanetscale.com/­docs
DeveloperElasticGoogleDataJaguar, Inc.PlanetScale
Initial release2010201720152020
Current release8.6, January 20233.3 July 2023
License infoCommercial or Open SourceOpen Source infoElastic LicensecommercialOpen Source infoGPL V3.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++ infothe server part. Clients available in other languagesGo
Server operating systemsAll OS with a Java VMhostedLinuxDocker
Linux
macOS
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyes infoAll search fields are automatically indexedyesyesyes
SQL infoSupport of SQLSQL-like query languageyes infoQuery statements complying to ANSI 2011A subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes infowith proprietary extensions
APIs and other access methodsJava API
RESTful HTTP/JSON API
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
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 proceduresyesnonoyes infoproprietary syntax
Triggersyes infoby using the 'percolation' featurenonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication with 3 replicas for regional instances.Multi-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryes infousing Google Cloud Dataflownono
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 across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoStrict serializable isolationnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationnonoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)rights management via user accountsUsers with fine-grained authorization concept infono user groups or roles

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More resources
ElasticsearchGoogle Cloud SpannerJaguarDBPlanetScale
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