DBMS > AlaSQL vs. H2 vs. LevelDB vs. Trino vs. XTDB

System Properties Comparison AlaSQL vs. H2 vs. LevelDB vs. Trino vs. XTDB

Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.

Embeddable fast key-value storage library that provides an ordered mapping from string keys to string values

Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL

A general purpose database with bitemporal SQL and Datalog and graph queries

Primary database model

Document store
Relational DBMS

Secondary database models

Spatial DBMS

Document store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store

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	7.57
Rank	#47	Overall
	#30	Relational DBMS

Score	2.33
Rank	#111	Overall
	#19	Key-value stores

Score	5.28
Rank	#61	Overall
	#35	Relational DBMS

Score	0.13
Rank	#330	Overall
	#45	Document stores

Website

alasql.org

www.h2database.com

github.com/google/leveldb

trino.io

github.com/xtdb/xtdb
www.xtdb.com

Technical documentation

github.com/AlaSQL/alasql

www.h2database.com/html/main.html

github.com/google/leveldb/blob/main/doc/index.md

trino.io/broadcast
trino.io/docs/current

www.xtdb.com/docs

Developer

Andrey Gershun & Mathias R. Wulff

Thomas Mueller

Google

Trino Software Foundation

Juxt Ltd.

Initial release

2014

2005

2011

2012

2020 rebranded from PrestoSQL

2019

Current release

2.2.220, July 2023

1.23, February 2021

1.19, September 2021

License

Commercial or Open Source

Open Source

MIT-License

Open Source

dual-licence (Mozilla public license, Eclipse public license)

Open Source

BSD

Open Source

Apache Version 2.0

Open Source

MIT License

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

C++

Java

Clojure

Server operating systems

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

All OS with a Java VM

Illumos
Linux
OS X
Windows

Linux
macOS

for devlopment

All OS with a Java 8 (and higher) VM
Linux

Data scheme

schema-free

yes

schema-free

yes

schema-free

Typing

predefined data types such as float or date

yes

yes, extensible-data-notation format

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

depending on connected data-source

yes

SQL

Support of SQL

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

yes

limited SQL, making use of Apache Calcite

APIs and other access methods

JavaScript API

JDBC
ODBC

JDBC
RESTful HTTP API
Trino CLI

HTTP REST
JDBC

Supported programming languages

JavaScript

Java

C++
Go
Java

3rd party binding
JavaScript (Node.js)

3rd party binding
Python

3rd party binding

Go
Java
JavaScript (Node.js)
Python
R
Ruby

Clojure
Java

Server-side scripts

Stored procedures

Java Stored Procedures and User-Defined Functions

yes, depending on connected data-source

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

depending on connected data-source

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

With clustering: 2 database servers on different computers operate on identical copies of a database

none

depending on connected data-source

yes, each node contains all data

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

depending on connected data-source

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

depending on connected data-source

ACID

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

by using IndexedDB, SQL.JS or proprietary FileStorage

yes

with automatic compression on writes

depending on connected data-source

yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB

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

SQL standard access control

More information provided by the system vendor

News

23 is a go, keeping pace with Java
17 September 2024

65: Performance boosts
12 September 2024

64: Control with Open Policy Agent OPA
22 August 2024

63: Querying with JS
1 August 2024

62: A lakehouse that simply works at Prezi
11 July 2024

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