DBMS > Derby vs. JSqlDb vs. LokiJS vs. Pinecone vs. SAP HANA

System Properties Comparison Derby vs. JSqlDb vs. LokiJS vs. Pinecone vs. SAP HANA

Editorial information provided by DB-Engines

Name

JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.

Description

Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.

JavaScript Query Language Database, stores JavaScript objects and primitives

In-memory JavaScript DBMS

A managed, cloud-native vector database

In-memory, column based data store. Available as appliance or cloud service

Primary database model

Relational DBMS

Document store
Object oriented DBMS

Document store

Vector DBMS

Relational DBMS

Secondary database models

Document store
Graph DBMS

with SAP Hana, Enterprise Edition
Spatial DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	4.71
Rank	#69	Overall
	#37	Relational DBMS

Score	0.43
Rank	#264	Overall
	#42	Document stores

Score	3.16
Rank	#95	Overall
	#2	Vector DBMS

Score	44.69
Rank	#22	Overall
	#16	Relational DBMS

Website

db.apache.org/derby

jsqldb.org (offline)

github.com/techfort/LokiJS

www.pinecone.io

www.sap.com/products/hana.html

Technical documentation

db.apache.org/derby/manuals/index.html

techfort.github.io/LokiJS

docs.pinecone.io/docs/overview

help.sap.com/hana

Developer

Apache Software Foundation

Konrad von Backstrom

Pinecone Systems, Inc

SAP

Initial release

1997

2018

2014

2019

2010

Current release

10.17.1.0, November 2023

0.8, December 2018

2.0 SPS07 (April 4, 2023), April 2023

License

Commercial or Open Source

Open Source

Apache version 2

Open Source

commercial

Cloud-based only

Only available as a cloud service

yes

also available as a cloud based service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

JavaScript

Server operating systems

All OS with a Java VM

Linux
macOS
Windows

server-less, requires a JavaScript environment (browser, Node.js)

hosted

Appliance or cloud-service

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

String, Number, Boolean

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

Secondary indexes

yes

via views

yes

SQL

Support of SQL

yes

APIs and other access methods

JDBC

JavaScript API

RESTful HTTP API

JDBC
ODBC

Supported programming languages

Java

JavaScript

Python

Server-side scripts

Stored procedures

Java Stored Procedures

functions in JavaScript

View functions in JavaScript

SQLScript, R

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

yes

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

none

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

atomic operations within a single collection possible

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

using RocksDB

yes

Serialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

fine grained access rights according to SQL-standard

yes

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