DBMS > SpaceTime vs. Trino vs. Yanza vs. YugabyteDB

System Properties Comparison SpaceTime vs. Trino vs. Yanza vs. YugabyteDB

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Editorial information provided by DB-Engines

Name

Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

Description

SpaceTime is a spatio-temporal DBMS with a focus on performance.

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

Time Series DBMS for IoT Applications

High-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.

Primary database model

Secondary database models

Relational DBMS

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

Document store
Wide column store

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

Score	0.00
Rank	#383	Overall
	#7	Spatial DBMS

Score	5.00
Rank	#66	Overall
	#36	Relational DBMS

Score	2.91
Rank	#102	Overall
	#51	Relational DBMS

Website

www.mireo.com/spacetime

trino.io

yanza.com

www.yugabyte.com

Technical documentation

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

docs.yugabyte.com
github.com/yugabyte/yugabyte-db

Social network pages

Developer

Mireo

Trino Software Foundation

Yanza

Yugabyte Inc.

Initial release

2020

2012

2020 rebranded from PrestoSQL

2015

2017

Current release

2.19, September 2023

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

commercial

free version available

Open Source

Apache 2.0

Cloud-based only

Only available as a cloud service

but mainly used as a service provided by Yanza

DBaaS offerings (sponsored links)

Database as a Service

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

Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.

YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.

Implementation language

C++

Java

C and C++

Server operating systems

Linux

Linux
macOS

for devlopment

Windows

Linux
OS X

Data scheme

yes

schema-free

depending on used data model

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

depending on connected data-source

yes

SQL

Support of SQL

A subset of ANSI SQL is implemented

yes

yes, PostgreSQL compatible

APIs and other access methods

RESTful HTTP API

JDBC
RESTful HTTP API
Trino CLI

HTTP API

JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL

Supported programming languages

C#
C++
Python

Go
Java
JavaScript (Node.js)
Python
R
Ruby

any language that supports HTTP calls

C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala

Server-side scripts

Stored procedures

yes, depending on connected data-source

yes

sql, plpgsql, C

Triggers

yes

Timer and event based

yes

Partitioning methods

Methods for storing different data on different nodes

Fixed-grid hypercubes

depending on connected data-source

none

Hash and Range Sharding, row-level geo-partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

Real-time block device replication (DRBD)

depending on connected data-source

none

Based on Raft distributed consensus protocol, minimum 3 replicas for continuous availability

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

depending on connected data-source

Immediate Consistency

Strong consistency on writes and tunable consistency on reads

Foreign keys

Referential integrity

yes

Transaction concepts

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

depending on connected data-source

Distributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

depending on connected data-source

yes

based on RocksDB

In-memory capabilities

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

User concepts

Access control

yes

SQL standard access control

yes

More information provided by the system vendor

Specific characteristics

Trino is the fastest open source, massively parallel processing SQL query engine...
» more

YugabyteDB is an open source distributed SQL database for cloud native transactional...
» more

Competitive advantages

High performance analtyics and data processing of very large data sets Powerful ANSI...
» more

PostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more

Typical application scenarios

Performant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more

Systems of record and engagement for cloud native applications that require resilience,...
» more

Key customers

Trino is widely adopted across the globe as freely-available open source software....
» more

Market metrics

33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more

2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more

Licensing and pricing models

Trino is an open source project and usage is therefore free. Commercial offerings...
» more

Apache 2.0 license for the database
» more

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14 March 2024

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.

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