DBMS > AlaSQL vs. Bangdb vs. ObjectBox vs. Rockset

System Properties Comparison AlaSQL vs. Bangdb vs. ObjectBox vs. Rockset

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Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

Converged and high performance database for device data, events, time series, document and graph

Lightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectors

A scalable, reliable search and analytics service in the cloud, built on RocksDB

Primary database model

Document store
Relational DBMS

Document store
Graph DBMS
Time Series DBMS

Object oriented DBMS
Vector DBMS

Document store

Secondary database models

Spatial DBMS

Time Series DBMS

Relational DBMS
Search engine

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

Score	0.42
Rank	#264	Overall
	#42	Document stores
	#122	Relational DBMS

Score	0.07
Rank	#346	Overall
	#47	Document stores
	#35	Graph DBMS
	#32	Time Series DBMS

Score	1.08
Rank	#179	Overall
	#6	Object oriented DBMS
	#9	Vector DBMS

Score	1.07
Rank	#180	Overall
	#31	Document stores

Website

alasql.org

bangdb.com

github.com/objectbox
objectbox.io

rockset.com

Technical documentation

github.com/AlaSQL/alasql

docs.bangdb.com

docs.objectbox.io

docs.rockset.com

Developer

Andrey Gershun & Mathias R. Wulff

Sachin Sinha, BangDB

ObjectBox Limited

Rockset

Initial release

2014

2012

2017

2019

Current release

BangDB 2.0, October 2021

4.0 (May 2024)

License

Commercial or Open Source

Open Source

MIT-License

Open Source

BSD 3

Bindings are released under Apache 2.0

Apache License 2.0

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

JavaScript

C, C++

C and C++

C++

Server operating systems

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

Linux

Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows

hosted

Data scheme

schema-free

yes

schema-free

Typing

predefined data types such as float or date

yes: string, long, double, int, geospatial, stream, events

yes, plus "flex" map-like types

dynamic typing

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.

ingestion from XML files supported

Secondary indexes

yes

secondary, composite, nested, reverse, geospatial

yes

all fields are automatically indexed

SQL

Support of SQL

Close to SQL99, but no user access control, stored procedures and host language bindings.

SQL like support with command line tool

Read-only SQL queries, including JOINs

APIs and other access methods

JavaScript API

Proprietary protocol
RESTful HTTP API

Proprietary native API

HTTP REST

Supported programming languages

JavaScript

C
C#
C++
Java
Python

C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift

Go
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

Triggers

yes

yes, Notifications (with Streaming only)

Partitioning methods

Methods for storing different data on different nodes

none

Sharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithm

none

Automatic sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

selectable replication factor, Knob for CAP (enterprise version only)

Data sync between devices allowing occasional connected databases to work completely offline

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Tunable consistency, set CAP knob accordingly

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

only for local storage and DOM-storage

ACID

Concurrency

Support for concurrent manipulation of data

yes, optimistic concurrency control

yes

Durability

Support for making data persistent

yes

by using IndexedDB, SQL.JS or proprietary FileStorage

yes, implements WAL (Write ahead log) as well

yes

In-memory capabilities

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

yes

yes, run db with in-memory only mode

User concepts

Access control

yes (enterprise version only)

yes

Access rights for users and organizations can be defined via Rockset console

More information provided by the system vendor

News

MongoDB Realm & Device Sync alternatives – ObjectBox
17 September 2024

Local AI – what it is and why we need it
11 September 2024

First on-device Vector Database (aka Semantic Index) for iOS
24 July 2024

Retrieval Augmented Generation (RAG) with vector databases: Expanding AI Capabilities
18 June 2024

The on-device Vector Database for Android and Java
29 May 2024

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More resources

Recent citations in the news

HarperDB - How and Why We Built It From The Ground Up on NodeJS
28 February 2021, hackernoon.com

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

provided by Google News

OpenAI’s first acquisition is an enterprise data startup
21 June 2024, The Verge

OpenAI Looks To Boost Data Retrieval Capabilities Of Its GenAI Technology With Rockset Acquisition
26 June 2024, CRN

OpenAI acquires Rockset to enhance ChatGPT real-time data processing
25 June 2024, InfoWorld

An Analysis Of OpenAI’s Acquisition Of Rockset And Its Strategic Significance
24 June 2024, Forbes

OpenAI buys database analytics firm Rockset in nine-figure stock deal, sources say
21 June 2024, Reuters

provided by Google News

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