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DBMS > Elasticsearch vs. Pinecone vs. PouchDB vs. Sadas Engine

System Properties Comparison Elasticsearch vs. Pinecone vs. PouchDB vs. Sadas Engine

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonPinecone  Xexclude from comparisonPouchDB  Xexclude from comparisonSadas Engine  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 managed, cloud-native vector databaseJavaScript DBMS with an API inspired by CouchDBSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelSearch engineVector DBMSDocument storeRelational 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
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitewww.elastic.co/­elasticsearchwww.pinecone.iopouchdb.comwww.sadasengine.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.pinecone.io/­docs/­overviewpouchdb.com/­guideswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperElasticPinecone Systems, IncApache Software FoundationSADAS s.r.l.
Initial release2010201920122006
Current release8.6, January 20237.1.1, June 20198.0
License infoCommercial or Open SourceOpen Source infoElastic LicensecommercialOpen Sourcecommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenoyesnono
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)AIX
Linux
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyes
Typing infopredefined data types such as float or dateyesString, Number, Booleannoyes
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.nononono
Secondary indexesyes infoAll search fields are automatically indexedyes infovia viewsyes
SQL infoSupport of SQLSQL-like query languagenonoyes
APIs and other access methodsJava API
RESTful HTTP/JSON API
RESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
ODBC
Proprietary protocol
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
PythonJavaScript.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyesView functions in JavaScriptno
Triggersyes infoby using the 'percolation' featureyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infowith a proxy-based framework, named couchdb-loungehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornoyesno
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, allEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes 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 integrationnoyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standard

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More resources
ElasticsearchPineconePouchDBSadas Engine
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