DBMS > Splunk vs. TempoIQ vs. Trino vs. YottaDB

System Properties Comparison Splunk vs. TempoIQ vs. Trino vs. YottaDB

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Editorial information provided by DB-Engines

Name

TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.

Description

Analytics Platform for Big Data

Scalable analytics DBMS for sensor data, provided as a service (SaaS)

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

A fast and solid embedded Key-value store

Primary database model

Secondary database models

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

Relational DBMS

using the Octo plugin

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

Score	86.45
Rank	#14	Overall
	#2	Search engines

Score	5.00
Rank	#66	Overall
	#36	Relational DBMS

Score	0.20
Rank	#317	Overall
	#47	Key-value stores

Website

www.splunk.com

tempoiq.com (offline)

trino.io

yottadb.com

Technical documentation

docs.splunk.com/Documentation/Splunk

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

yottadb.com/resources/documentation

Social network pages

Developer

Splunk Inc.

TempoIQ

Trino Software Foundation

YottaDB, LLC

Initial release

2003

2012

2020 rebranded from PrestoSQL

2001

License

Commercial or Open Source

commercial

Limited free edition and free developer edition available

commercial

Open Source

Apache Version 2.0

Open Source

AGPL 3.0

Cloud-based only

Only available as a cloud service

yes

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.

Implementation language

Java

Server operating systems

Linux
OS X
Solaris
Windows

Linux
macOS

for devlopment

Docker
Linux

Data scheme

yes

schema-free

yes

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.

yes

Secondary indexes

yes

depending on connected data-source

SQL

Support of SQL

Splunk Search Processing Language for search commands

yes

by using the Octo plugin

APIs and other access methods

HTTP REST

HTTP API

JDBC
RESTful HTTP API
Trino CLI

PostgreSQL wire protocol

using the Octo plugin
Proprietary protocol

Supported programming languages

C#
Java
JavaScript
PHP
Python
Ruby

C#
Java
JavaScript

Node.js
Python
Ruby

Go
Java
JavaScript (Node.js)
Python
R
Ruby

C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust

Server-side scripts

Stored procedures

yes

yes, depending on connected data-source

Triggers

yes

Realtime Alerts

Partitioning methods

Methods for storing different data on different nodes

Sharding

depending on connected data-source

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

depending on connected data-source

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

depending on connected data-source

Foreign keys

Referential integrity

Transaction concepts

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

A 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching

depending on connected data-source

optimistic locking

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

depending on connected data-source

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

Access rights for users and roles

simple authentication-based access control

SQL standard access control

Users and groups based on OS-security mechanisms

More information provided by the system vendor

Specific characteristics

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

Competitive advantages

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

Typical application scenarios

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

Licensing and pricing models

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

News

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22 May 2024

Big names round out the Trino Fest 2024 lineup
8 May 2024

59: Querying Trino with Java and jOOQ
24 April 2024

A sneak peek of Trino Fest 2024
15 April 2024

Time travel in Delta Lake connector
11 April 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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