DBMS > HBase vs. ReductStore vs. Splunk vs. SQL.JS

System Properties Comparison HBase vs. ReductStore vs. Splunk vs. SQL.JS

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Editorial information provided by DB-Engines

Name

Description

Wide-column store based on Apache Hadoop and on concepts of BigTable

Designed to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.

Analytics Platform for Big Data

Port of SQLite to JavaScript

Primary database model

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

Score	27.97
Rank	#26	Overall
	#2	Wide column stores

Score	0.05
Rank	#384	Overall
	#44	Time Series DBMS

Score	89.10
Rank	#14	Overall
	#2	Search engines

Score	0.63
Rank	#241	Overall
	#112	Relational DBMS

Website

hbase.apache.org

github.com/reductstore
www.reduct.store

www.splunk.com

sql.js.org

Technical documentation

hbase.apache.org/book.html

www.reduct.store/docs

docs.splunk.com/Documentation/Splunk

sql.js.org/documentation/index.html

Developer

Apache Software Foundation

Apache top-level project, originally developed by Powerset

ReductStore LLC

Splunk Inc.

Alon Zakai

enhancements implemented by others

Initial release

2008

2023

2003

2012

Current release

2.3.4, January 2021

1.9, March 2024

License

Commercial or Open Source

Open Source

Apache version 2

Open Source

Business Source License 1.1

commercial

Limited free edition and free developer edition available

Open Source

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

Java

C++, Rust

JavaScript

Server operating systems

Linux
Unix
Windows

using Cygwin

Docker
Linux
macOS
Windows

Linux
OS X
Solaris
Windows

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

Data scheme

schema-free, schema definition possible

yes

Typing

predefined data types such as float or date

options to bring your own types, AVRO

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

Splunk Search Processing Language for search commands

yes

SQL-92 is not fully supported

APIs and other access methods

Java API
RESTful HTTP API
Thrift

HTTP API

HTTP REST

JavaScript API

Supported programming languages

C
C#
C++
Groovy
Java
PHP
Python
Scala

C++
JavaScript (Node.js)
Python
Rust

C#
Java
JavaScript
PHP
Python
Ruby

JavaScript

Server-side scripts

Stored procedures

yes

Coprocessors in Java

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

Multi-source replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency

Eventual Consistency

none

Foreign keys

Referential integrity

yes

Transaction concepts

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

Single row ACID (across millions of columns)

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

except by serializing a db to a file

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 Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

Access rights for users and roles

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More resources

DB-Engines blog posts

Cloudera's HBase PaaS offering now supports Complex Transactions
11 August 2021, Krishna Maheshwari (sponsor)

Why is Hadoop not listed in the DB-Engines Ranking?
13 May 2013, Paul Andlinger

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

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New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

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