Featured Products: Datastax Astra Neo4j AllegroGraph RaimaDB Milvus

DBMS > EJDB vs. Google Cloud Bigtable vs. Machbase Neo vs. SQL.JS

System Properties Comparison EJDB vs. Google Cloud Bigtable vs. Machbase Neo vs. SQL.JS

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

Embeddable document-store database library with JSON representation of queries (in MongoDB style)

Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.

TimeSeries DBMS for AIoT and BigData

Port of SQLite to JavaScript

Primary database model

Key-value store
Wide column store

Time Series DBMS

Relational DBMS

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

Score	0.27
Rank	#297	Overall
	#44	Document stores

Score	3.26
Rank	#92	Overall
	#13	Key-value stores
	#8	Wide column stores

Score	0.12
Rank	#339	Overall
	#30	Time Series DBMS

Score	0.53
Rank	#252	Overall
	#116	Relational DBMS

Website

github.com/Softmotions/ejdb

cloud.google.com/bigtable

Technical documentation

github.com/Softmotions/ejdb/blob/master/README.md

cloud.google.com/bigtable/docs

machbase.com/dbms

sql.js.org/documentation/index.html

Developer

Softmotions

Google

Machbase

Alon Zakai

enhancements implemented by others

Initial release

2012

2015

2013

2012

Current release

V8.0, August 2023

License

Commercial or Open Source

Open Source

GPLv2

commercial

commercial

free test version available

Open Source

Cloud-based only

Only available as a cloud service

no

yes

no

no

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C

C

JavaScript

Server operating systems

server-less

hosted

Linux
macOS
Windows

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

Data scheme

schema-free

schema-free

yes

yes

Typing

predefined data types such as float or date

yes

string, integer, double, bool, date, object_id

no

yes

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.

no

no

no

Secondary indexes

no

no

yes

SQL

Support of SQL

no

no

SQL-like query language

yes

SQL-92 is not fully supported

APIs and other access methods

in-process shared library

gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)

gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC

JavaScript API

Supported programming languages

Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby

C#
C++
Go
Java
JavaScript (Node.js)
Python

C
C#
C++
Go
Java
JavaScript
PHP

via ODBC
Python
R

via ODBC
Scala

JavaScript

Server-side scripts

Stored procedures

no

no

no

no

Triggers

no

no

no

no

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

Internal replication in Colossus, and regional replication between two clusters in different zones

selectable replication factor

none

MapReduce

Offers an API for user-defined Map/Reduce methods

no

yes

no

no

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)

none

Foreign keys

Referential integrity

no

typically not needed, however similar functionality with collection joins possible

no

no

yes

Transaction concepts

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

no

Atomic single-row operations

no

ACID

Concurrency

Support for concurrent manipulation of data

yes

Read/Write Locking

yes

yes

Durability

Support for making data persistent

yes

yes

no

no

except by serializing a db to a file

In-memory capabilities

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

no

yes

volatile and lookup table

yes

User concepts

Access control

no

Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

simple password-based access control

no

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

DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

Recent citations in the news

Google's AI-First Strategy Brings Vector Support To Cloud Databases
1 March 2024, Forbes

Google Introduces Autoscaling for Cloud Bigtable for Optimizing Costs
31 January 2022, InfoQ.com

Review: Google Bigtable scales with ease
7 September 2016, InfoWorld

Google scales up Cloud Bigtable NoSQL database
27 January 2022, TechTarget

Google introduces Cloud Bigtable managed NoSQL database to process data at scale
6 May 2015, VentureBeat

provided by Google News

9 Best JavaScript and TypeScript ORMs for 2024 — SitePoint
22 March 2023, SitePoint

Execute millions of SQL statements in milliseconds in the browser with WebAssembly and Web Workers.
14 January 2017, hackernoon.com

SQLite On The Web: Absurd-sql
24 August 2021, Hackaday

In Praise Of SQLite
28 July 2022, iProgrammer

LokiJS - A JavaScript Database
18 November 2014, iProgrammer

provided by Google News

Share this page

Featured Products

Present your product here