DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > AlaSQL vs. jBASE vs. LeanXcale vs. Pinecone vs. PouchDB

System Properties Comparison AlaSQL vs. jBASE vs. LeanXcale vs. Pinecone vs. PouchDB

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonjBASE  Xexclude from comparisonLeanXcale  Xexclude from comparisonPinecone  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionJavaScript DBMS libraryA robust multi-value DBMS comprising development tools and middlewareA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA managed, cloud-native vector databaseJavaScript DBMS with an API inspired by CouchDB
Primary database modelDocument store
Relational DBMS
Multivalue DBMSKey-value store
Relational DBMS
Vector DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Websitealasql.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.leanxcale.comwww.pinecone.iopouchdb.com
Technical documentationgithub.com/­AlaSQL/­alasqldocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.pinecone.io/­docs/­overviewpouchdb.com/­guides
DeveloperAndrey Gershun & Mathias R. WulffRocket Software (formerly Zumasys)LeanXcalePinecone Systems, IncApache Software Foundation
Initial release20141991201520192012
Current release5.77.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialcommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptJavaScript
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)AIX
Linux
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenooptionalString, Number, Booleanno
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.noyesnono
Secondary indexesnoyes infovia views
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.Embedded SQL for jBASE in BASICyes infothrough Apache Derbynono
APIs and other access methodsJavaScript APIJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
RESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesJavaScript.Net
Basic
Jabbascript
Java
C
Java
Scala
PythonJavaScript
Server-side scripts infoStored proceduresnoyesView functions in JavaScript
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesnoyes
User concepts infoAccess controlnoAccess rights can be defined down to the item levelno

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
AlaSQLjBASELeanXcalePineconePouchDB
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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

Create a Marvel Database with SQL and Javascript, the easy way
2 July 2019, Towards Data Science

Multi faceted data exploration in the browser using Leaflet and amCharts
3 May 2020, Towards Data Science

provided by Google News

Temenos signs first customer in India
24 August 2009, Finextra

provided by Google News

Pinecone’s new serverless database may see few takers, analysts say
17 January 2024, InfoWorld

Pinecone Unveils Serverless Vector Database for Enhanced AI Applications
16 January 2024, Datanami

Seven Vector Database Startups Poised to Win in the AI Revolution
19 April 2024, Business Insider

Reimagining Vector Databases for the Generative AI Era with Pinecone Serverless on AWS | Amazon Web Services
21 March 2024, AWS Blog

Pinecone Brings Serverless To Vector Databases
16 January 2024, Forbes

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



Share this page

Featured Products

Milvus logo

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

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

SingleStore logo

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

RaimaDB logo

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

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

Present your product here