Featured Products: SingleStore RaimaDB Milvus Neo4j Datastax Astra

DBMS > Apache Impala vs. NSDb vs. OrigoDB vs. SQL.JS

System Properties Comparison Apache Impala vs. NSDb vs. OrigoDB vs. SQL.JS

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

Analytic DBMS for Hadoop

Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes

A fully ACID in-memory object graph database

Port of SQLite to JavaScript

Primary database model

Relational DBMS

Time Series DBMS

Document store
Object oriented DBMS

Relational DBMS

Secondary database models

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

Score	10.63
Rank	#40	Overall
	#24	Relational DBMS

Score	0.00
Rank	#385	Overall
	#40	Time Series DBMS

Score	0.00
Rank	#385	Overall
	#54	Document stores
	#21	Object oriented DBMS

Score	0.53
Rank	#246	Overall
	#115	Relational DBMS

Website

impala.apache.org

Technical documentation

impala.apache.org/impala-docs.html

nsdb.io/Architecture

origodb.com/docs

sql.js.org/documentation/index.html

Developer

Apache Software Foundation

Apache top-level project, originally developed by Cloudera

Robert Friberg et al

Alon Zakai

enhancements implemented by others

Initial release

2013

2017

2009

under the name LiveDB

2012

Current release

4.1.0, June 2022

License

Commercial or Open Source

Open Source

Apache Version 2

Open Source

Apache Version 2.0

Open Source

Open Source

Cloud-based only

Only available as a cloud service

no

no

no

no

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C++

Java, Scala

C#

JavaScript

Server operating systems

Linux

Linux
macOS

Linux
Windows

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

Data scheme

yes

yes

yes

Typing

predefined data types such as float or date

yes

yes: int, bigint, decimal, string

User defined using .NET types and collections

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

can be achieved using .NET

no

Secondary indexes

yes

all fields are automatically indexed

yes

SQL

Support of SQL

SQL-like DML and DDL statements

SQL-like query language

no

yes

SQL-92 is not fully supported

APIs and other access methods

JDBC
ODBC

gRPC
HTTP REST
WebSocket

.NET Client API
HTTP API
LINQ

JavaScript API

Supported programming languages

All languages supporting JDBC/ODBC

Java
Scala

.Net

JavaScript

Server-side scripts

Stored procedures

yes

user defined functions and integration of map-reduce

no

yes

no

Triggers

no

yes

Domain Events

no

Partitioning methods

Methods for storing different data on different nodes

Sharding

Sharding

horizontal partitioning

client side managed; servers are not synchronized

none

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

query execution via MapReduce

no

no

no

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Eventual Consistency

none

Foreign keys

Referential integrity

no

no

depending on model

yes

Transaction concepts

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

no

no

ACID

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes

yes

Durability

Support for making data persistent

yes

Using Apache Lucene

yes

Write ahead log

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

yes

User concepts

Access control

Access rights for users, groups and roles

based on Apache Sentry and Kerberos

Role based authorization

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

Apache Impala 4 Supports Operator Multi-Threading
29 July 2021, iProgrammer

Apache Impala becomes Top-Level Project
28 November 2017, SDTimes.com

Cloudera brings Apache Iceberg data lake format to its Data Platform
30 June 2022, SiliconANGLE News

Hudi: Uber Engineering’s Incremental Processing Framework on Apache Hadoop
12 March 2017, Uber

Updates & Upserts in Hadoop Ecosystem with Apache Kudu
27 October 2017, KDnuggets

provided by Google News

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

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

Running PostgreSQL Inside Your Browser
8 September 2022, iProgrammer

React Native for beginners
31 October 2018, hackernoon.com

10 Low-Code Rules for Serious Coders
21 November 2022, Embedded Computing Design

provided by Google News

Share this page

Featured Products

Present your product here