DBMS > AlaSQL vs. Apache Druid vs. jBASE vs. RisingWave

System Properties Comparison AlaSQL vs. Apache Druid vs. jBASE vs. RisingWave

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Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

Open-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality data

A robust multi-value DBMS comprising development tools and middleware

A distributed RDBMS for stream processing, wire-compatible with PostgreSQL

Primary database model

Document store
Relational DBMS

Relational DBMS
Time Series DBMS

Multivalue DBMS

Relational DBMS

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

Score	0.46
Rank	#260	Overall
	#40	Document stores
	#121	Relational DBMS

Score	3.34
Rank	#88	Overall
	#48	Relational DBMS
	#7	Time Series DBMS

Score	1.41
Rank	#159	Overall
	#3	Multivalue DBMS

Score	0.58
Rank	#242	Overall
	#111	Relational DBMS

Website

alasql.org

druid.apache.org

www.rocketsoftware.com/products/rocket-multivalue-application-development-platform/rocket-jbase

www.risingwave.com/database

Technical documentation

github.com/AlaSQL/alasql

druid.apache.org/docs/latest/design

docs.rocketsoftware.com/bundle?labelkey=jbase_5.9

docs.risingwave.com/docs/current/intro

Developer

Andrey Gershun & Mathias R. Wulff

Apache Software Foundation and contributors

Rocket Software (formerly Zumasys)

RisingWave Labs

Initial release

2014

2012

1991

2022

Current release

29.0.1, April 2024

5.7

1.2, September 2023

License

Commercial or Open Source

Open Source

MIT-License

Open Source

Apache license v2

commercial

Open Source

Apache Version 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

JavaScript

Java

Rust

Server operating systems

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

Linux
OS X
Unix

AIX
Linux
Windows

Docker
Linux
macOS

Data scheme

schema-free

yes

schema-less columns are supported

schema-free

yes

Typing

predefined data types such as float or date

yes

optional

Standard SQL-types and JSON

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

SQL

Support of SQL

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

SQL for querying

Embedded SQL for jBASE in BASIC

yes

APIs and other access methods

JavaScript API

JDBC
RESTful HTTP/JSON API

JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API

JDBC
PostgreSQL wire protocol

Supported programming languages

JavaScript

Clojure
JavaScript
PHP
Python
R
Ruby
Scala

.Net
Basic
Jabbascript
Java

Go
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

yes

UDFs in Python or Java

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

manual/auto, time-based

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes, via HDFS, S3 or other storage engines

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate 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

Durability

Support for making data persistent

yes

by using IndexedDB, SQL.JS or proprietary FileStorage

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

RBAC using LDAP or Druid internals for users and groups for read/write by datasource and system

Access rights can be defined down to the item level

Users and Roles

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