DBMS > AlaSQL vs. CrateDB vs. Spark SQL vs. Tarantool vs. TypeDB

System Properties Comparison AlaSQL vs. CrateDB vs. Spark SQL vs. Tarantool vs. TypeDB

Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

Distributed Date Store based on Lucene

Spark SQL is a component on top of 'Spark Core' for structured data processing

In-memory computing platform with a flexible data schema for efficiently building high-performance applications

TypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language

Primary database model

Document store
Relational DBMS

Relational DBMS
Search engine

Relational DBMS

Key-value store

Graph DBMS
Relational DBMS

Often described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.

Secondary database models

Document store
Time Series DBMS

Document store
Relational DBMS
Spatial DBMS

with Tarantool/GIS extension

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

Score	0.56
Rank	#226	Overall
	#35	Document stores
	#108	Relational DBMS

Score	0.94
Rank	#183	Overall
	#88	Relational DBMS
	#13	Search engines

Score	23.72
Rank	#35	Overall
	#21	Relational DBMS

Score	1.53
Rank	#144	Overall
	#27	Key-value stores

Score	0.82
Rank	#194	Overall
	#18	Graph DBMS
	#91	Relational DBMS

Website

Technical documentation

github.com/agershun/alasql

crate.io/docs

spark.apache.org/docs/latest/sql-programming-guide.html

www.tarantool.io/en/doc

docs.vaticle.com

Developer

Andrey Gershun & Mathias R. Wulff

Crate

Apache Software Foundation

Vaticle (formerly Grakn Labs)

Initial release

2014

2013

2014

2008

2016

Current release

3.3.0, June 2022

2.4.2, July 2020

2.11.0, June 2022

License

Commercial or Open Source

Open Source

MIT-License

Open Source

Apache 2.0

Open Source

BSD

Open Source

GPL Version 3, commercial licenses available

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

Scala

C and C++

Java

Server operating systems

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

All OS with a Java 7 (and higher) VM

Linux
OS X
Windows

BSD
Linux
macOS

Linux
OS X
Windows

Data scheme

schema-free

Flexible Schema (defined schema, partial schema, schema free)

yes

schema-free, schema definition possible

yes

Typing

predefined data types such as float or date

yes

string, double, decimal, uuid, integer, blob, boolean

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.

yes, but no triggers and constraints

SQL-like DML and DDL statements

Full-featured ANSI SQL support

APIs and other access methods

JavaScript API

ADO.NET

community maintained client
JDBC
MQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API

JDBC
ODBC

Open binary protocol

gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)

Supported programming languages

JavaScript

Erlang
Go

community maintained client
Java
JavaScript (Node.js)

community maintained client
Perl

community maintained client
PHP
Python
Ruby

community maintained client
Scala

community maintained client

Java
Python
R
Scala

C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust

All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala

Server-side scripts

Stored procedures

user defined functions

Lua, C and SQL stored procedures

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

yes, utilizing Spark Core

Hash sharding based on virtual buckets

Sharding

by using Cassandra

Replication methods

Methods for redundantly storing data on multiple nodes

none

selectable replication factor

none

Multi-source replication
Source-replica replication

Multi-source replication

by using Cassandra

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

by using Apache Kafka and Apache Zookeeper

Consistency concepts

Methods to ensure consistency in a distributed system

none

Eventual Consistency
Read Your Own Writes Consistency

for primary key lookups

Immediate Consistency

Foreign keys

Referential integrity

yes

yes, with SQL

substituted by the relationship feature

Transaction concepts

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

yes

only for local storage and DOM-storage

unique row identifiers can be used for implementing an optimistic concurrency control strategy

ACID, read commited

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, cooperative multitasking

yes

Durability

Support for making data persistent

yes

by using IndexedDB, SQL.JS or proprietary FileStorage

yes

yes, regular snapshots on disk, write ahead logging

yes

In-memory capabilities

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

yes

yes, full featured in-memory storage engine with persistence

User concepts

Access control

rights management via user accounts

Access rights for users and roles

yes

at REST API level; other APIs in progress

More information provided by the system vendor

Specific characteristics

CrateDB is an open source distributed SQL database that spreads data and processing...
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Meet TypeDB (and TypeQL ) TypeDB is a strongly-typed database with a rich and logical...
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Competitive advantages

CrateDB is typically used in operational analytics applications, particularly those...
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Entity-Relationship Model TypeDB allows you to model your domain using the well-known...
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Typical application scenarios

CrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
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Life sciences : TypeDB makes working with biological data much easier and accelerates...
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Key customers

CrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
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Market metrics

The CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
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Licensing and pricing models

CrateDB pricing CrateDB Community Edition is open source and free to use under the...
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AGPL and Commercial . The commercial license is priced based on cluster resources...
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.