DBMS > AlaSQL vs. FeatureBase vs. OpenMLDB vs. Warp 10

System Properties Comparison AlaSQL vs. FeatureBase vs. OpenMLDB vs. Warp 10

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Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.

An open-source machine learning database that provides a feature platform for training and inference

TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase

Primary database model

Document store
Relational DBMS

Relational DBMS

Time Series DBMS

Secondary database models

Relational DBMS

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	0.23
Rank	#296	Overall
	#134	Relational DBMS

Score	0.11
Rank	#339	Overall
	#30	Time Series DBMS

Score	0.06
Rank	#351	Overall
	#35	Time Series DBMS

Website

Technical documentation

github.com/AlaSQL/alasql

docs.featurebase.com

openmldb.ai/docs/zh/main

www.warp10.io/content/02_Getting_started

Developer

Andrey Gershun & Mathias R. Wulff

Molecula and Pilosa Open Source Contributors

4 Paradigm Inc.

SenX

Initial release

2014

2017

2020

2015

Current release

2022, May 2022

2024-2 February 2024

License

Commercial or Open Source

Open Source

MIT-License

commercial

Open Source

Apache License 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

C++, Java, Scala

Java

Server operating systems

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

Linux
macOS

Linux

Linux
OS X
Windows

Data scheme

schema-free

yes

Fixed schema

schema-free

Typing

predefined data types such as float or date

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.

Secondary indexes

yes

SQL

Support of SQL

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

SQL queries

yes

APIs and other access methods

JavaScript API

gRPC
JDBC
Kafka Connector
ODBC

JDBC
SQLAlchemy

HTTP API
Jupyter
WebSocket

Supported programming languages

JavaScript

Java
Python

C++
Go
Java
Python
Scala

Server-side scripts

Stored procedures

yes

WarpScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

horizontal partitioning

Sharding

based on HBase

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

Source-replica replication

selectable replication factor

based on HBase

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

based on HBase

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

yes

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

by using IndexedDB, SQL.JS or proprietary FileStorage

yes, using Linux fsync

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

Mandatory use of cryptographic tokens, containing fine-grained authorizations

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