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DBMS > Elasticsearch vs. Google Cloud Firestore vs. PouchDB vs. searchxml vs. Teradata

System Properties Comparison Elasticsearch vs. Google Cloud Firestore vs. PouchDB vs. searchxml vs. Teradata

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonPouchDB  Xexclude from comparisonsearchxml  Xexclude from comparisonTeradata  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 metricCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.JavaScript DBMS with an API inspired by CouchDBDBMS for structured and unstructured content wrapped with an application serverA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelSearch engineDocument storeDocument storeNative XML DBMS
Search engine
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Document store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score132.83
Rank#7  Overall
#1  Search engines
Score7.36
Rank#53  Overall
#9  Document stores
Score2.34
Rank#112  Overall
#21  Document stores
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitewww.elastic.co/­elasticsearchfirebase.google.com/­products/­firestorepouchdb.comwww.searchxml.net/­category/­productswww.teradata.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlfirebase.google.com/­docs/­firestorepouchdb.com/­guideswww.searchxml.net/­support/­handoutsdocs.teradata.com
DeveloperElasticGoogleApache Software Foundationinformationpartners gmbhTeradata
Initial release20102017201220151984
Current release8.6, January 20237.1.1, June 20191.0Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoElastic LicensecommercialOpen Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaScriptC++
Server operating systemsAll OS with a Java VMhostedserver-less, requires a JavaScript environment (browser, Node.js)Windowshosted
Linux
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nononoyesyes
Secondary indexesyes infoAll search fields are automatically indexedyesyes infovia viewsyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like query languagenononoyes infoSQL 2016 + extensions
APIs and other access methodsJava API
RESTful HTTP/JSON API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
RESTful HTTP API
WebDAV
XQuery
XSLT
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
JavaScriptC++ infomost other programming languages supported via APIsC
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyesyes, Firebase Rules & Cloud FunctionsView functions in JavaScriptyes infoon the application serveryes infoUDFs, stored procedures, table functions in parallel
Triggersyes infoby using the 'percolation' featureyes, with Cloud Functionsyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infowith a proxy-based framework, named couchdb-loungenoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes infosychronisation to multiple collectionsMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop ConnectorUsing Cloud Dataflowyesnono
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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnomultiple readers, single writerACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.noDomain, group and role-based access control at the document level and for application servicesfine grained access rights according to SQL-standard

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More resources
ElasticsearchGoogle Cloud FirestorePouchDBsearchxmlTeradata
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