DBMS > Apache Impala vs. BoltDB vs. H2 vs. Splunk vs. Valentina Server

System Properties Comparison Apache Impala vs. BoltDB vs. H2 vs. Splunk vs. Valentina Server

Editorial information provided by DB-Engines

Name

Description

Analytic DBMS for Hadoop

An embedded key-value store for Go.

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

Analytics Platform for Big Data

Object-relational database and reports server

Primary database model

Secondary database models

Document store

Spatial DBMS

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

Score	12.45
Rank	#40	Overall
	#24	Relational DBMS

Score	0.80
Rank	#215	Overall
	#31	Key-value stores

Score	8.33
Rank	#46	Overall
	#30	Relational DBMS

Score	89.10
Rank	#14	Overall
	#2	Search engines

Score	0.21
Rank	#325	Overall
	#144	Relational DBMS

Website

impala.apache.org

github.com/boltdb/bolt

www.h2database.com

www.splunk.com

www.valentina-db.net

Technical documentation

impala.apache.org/impala-docs.html

www.h2database.com/html/main.html

docs.splunk.com/Documentation/Splunk

valentina-db.com/docs/dokuwiki/v5/doku.php

Developer

Apache Software Foundation

Apache top-level project, originally developed by Cloudera

Thomas Mueller

Splunk Inc.

Paradigma Software

Initial release

2013

2005

2003

1999

Current release

4.1.0, June 2022

2.2.220, July 2023

5.7.5

License

Commercial or Open Source

Open Source

Apache Version 2

Open Source

MIT License

Open Source

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

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++

Java

Server operating systems

Linux

BSD
Linux
OS X
Solaris
Windows

All OS with a Java VM

Linux
OS X
Solaris
Windows

Linux
OS X
Windows

Data scheme

yes

schema-free

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

yes

Splunk Search Processing Language for search commands

yes

APIs and other access methods

JDBC
ODBC

HTTP REST

ODBC

Supported programming languages

All languages supporting JDBC/ODBC

Java

C#
Java
JavaScript
PHP
Python
Ruby

.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET

Server-side scripts

Stored procedures

yes

user defined functions and integration of map-reduce

Java Stored Procedures and User-Defined Functions

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

none

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

Multi-source 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

none

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

ACID

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

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

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.

yes

User concepts

Access control

Access rights for users, groups and roles

based on Apache Sentry and Kerberos

fine grained access rights according to SQL-standard

Access rights for users and roles

fine grained access rights according to SQL-standard

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More resources

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Recent citations in the news

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

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18 April 2014, SitePoint

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