DBMS > Apache Impala vs. JaguarDB vs. Splunk vs. Tibero

System Properties Comparison Apache Impala vs. JaguarDB vs. Splunk vs. Tibero

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Editorial information provided by DB-Engines

Name

Description

Analytic DBMS for Hadoop

Performant, highly scalable DBMS for AI and IoT applications

Analytics Platform for Big Data

A secure RDBMS, designed for easy portability from Oracle

Primary database model

Relational DBMS

Key-value store
Vector DBMS

Search engine

Relational DBMS

Secondary database models

Document store

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

Score	12.45
Rank	#40	Overall
	#24	Relational DBMS

Score	0.06
Rank	#381	Overall
	#59	Key-value stores
	#15	Vector DBMS

Score	89.10
Rank	#14	Overall
	#2	Search engines

Score	1.59
Rank	#148	Overall
	#68	Relational DBMS

Website

impala.apache.org

www.jaguardb.com

www.splunk.com

us.tmaxsoft.com/products/tibero

Technical documentation

impala.apache.org/impala-docs.html

www.jaguardb.com/support.html

docs.splunk.com/Documentation/Splunk

technet.tmaxsoft.com/upload/download/online/tibero/pver-20150504-000002/index.html

Developer

Apache Software Foundation

Apache top-level project, originally developed by Cloudera

DataJaguar, Inc.

Splunk Inc.

TmaxSoft

Initial release

2013

2015

2003

Current release

4.1.0, June 2022

3.3 July 2023

6, April 2015

License

Commercial or Open Source

Open Source

Apache Version 2

Open Source

GPL V3.0

commercial

Limited free edition and free developer edition available

commercial

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

C++

the server part. Clients available in other languages

C and Assembler

Server operating systems

Linux

Linux
OS X
Solaris
Windows

AIX
HP-UX
Linux
Solaris
Windows

Data scheme

yes

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

SQL

Support of SQL

SQL-like DML and DDL statements

A subset of ANSI SQL is implemented

but no views, foreign keys, triggers

Splunk Search Processing Language for search commands

yes

APIs and other access methods

JDBC
ODBC

HTTP REST

JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI

Supported programming languages

All languages supporting JDBC/ODBC

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

C#
Java
JavaScript
PHP
Python
Ruby

C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic

Server-side scripts

Stored procedures

yes

user defined functions and integration of map-reduce

yes

Persistent Stored Procedure (PSM)

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning

by range, hash, list or composite

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

Multi-source replication

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

query execution via MapReduce

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

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

planned for next version

User concepts

Access control

Access rights for users, groups and roles

based on Apache Sentry and Kerberos

rights management via user accounts

Access rights for users and roles

fine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources

DB-Engines blog posts

Enterprise Search Engines almost double their popularity in the last 12 months
2 July 2014, Paul Andlinger

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Recent citations in the news

Apache Impala becomes Top-Level Project
28 November 2017, SDTimes.com

Cloudera Bringing Impala to AWS Cloud
28 November 2017, Datanami

Apache Doris just 'graduated': Why care about this SQL data warehouse
24 June 2022, InfoWorld

Hudi: Uber Engineering’s Incremental Processing Framework on Apache Hadoop
12 March 2017, Uber

Updates & Upserts in Hadoop Ecosystem with Apache Kudu
27 October 2017, KDnuggets

provided by Google News

ArkData to Officially Support Domestic Database 'Tibero 7'
23 April 2024, BusinessKorea

How to Succeed at Large-Scale Mainframe Replatforming with TmaxSoft OpenFrame on AWS | Amazon Web Services
2 August 2022, AWS Blog

TmaxSoft aims at becoming global leader in database business
26 March 2015, 코리아타임스

TmaxSoft shows resilience in battle against Oracle, IBM
13 October 2015, The Korea Herald

ArkData's 'Ark for CDC' supports real-time data extraction and replication for Tibero DBMS.
18 April 2023, BusinessKorea

provided by Google News

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