DBMS > HBase vs. Kdb+ vs. Spark SQL vs. STSdb

System Properties Comparison HBase vs. Kdb+ vs. Spark SQL vs. STSdb

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Editorial information provided by DB-Engines

Name

Description

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

High performance Time Series DBMS

Spark SQL is a component on top of 'Spark Core' for structured data processing

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

Primary database model

Secondary database models

Relational DBMS

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

Score	43.19
Rank	#26	Overall
	#2	Wide column stores

Score	8.98
Rank	#54	Overall
	#2	Time Series DBMS

Score	22.86
Rank	#35	Overall
	#21	Relational DBMS

Score	0.01
Rank	#345	Overall
	#53	Key-value stores

Website

hbase.apache.org

kx.com

spark.apache.org/sql

github.com/STSSoft/STSdb4

Technical documentation

hbase.apache.org

code.kx.com

spark.apache.org/docs/latest/sql-programming-guide.html

Developer

Apache Software Foundation

Apache top-level project, originally developed by Powerset

Kx Systems, a division of First Derivatives plc

Apache Software Foundation

STS Soft SC

Initial release

2008

2000

kdb was released 2000, kdb+ in 2003

2014

2011

Current release

2.3.4, January 2021

3.6, May 2018

3.2.0, October 2021

4.0.8, September 2015

License

Commercial or Open Source

Open Source

Apache version 2

commercial

free 32-bit version

Open Source

Apache 2.0

Open Source

GPLv2, commercial license available

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.

Cloudera Operational Database: Cloud-native autonomous Apache HBase for unparalleled scale, performance and reliability. Automate and simplify database management with capabilities like auto-scale, auto-heal, and auto-tune.

Implementation language

Java

Scala

Server operating systems

Linux
Unix
Windows

using Cygwin

Linux
OS X
Solaris
Windows

Linux
OS X
Windows

Windows

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

primitive types and user defined types (classes)

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

table attribute 'grouped'

SQL

Support of SQL

SQL-like query language (q)

SQL-like DML and DDL statements

APIs and other access methods

Java API
RESTful HTTP API
Thrift

HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket

JDBC
ODBC

.NET Client API

Supported programming languages

C
C#
C++
Groovy
Java
PHP
Python
Scala

C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala

Java
Python
R
Scala

C#
Java

Server-side scripts

Stored procedures

yes

Coprocessors in Java

user defined functions

Triggers

yes

with views

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning

yes, utilizing Spark Core

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

similar paradigm used for internal processing

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency

Immediate Consistency

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)

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.

yes

User concepts

Access control

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

rights management via user accounts

More information provided by the system vendor

Specific characteristics

Apache HBase is the leading NoSQL, distributed database management system, well suited...
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Competitive advantages

No single point of failure ensures very high availability with multiple customers...
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Typical application scenarios

Internet of Things (IOT), fraud detection applications, recommendation engines, product...
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Key customers

Apple, Salesforce, Cerner, Allegis Group, Bloomberg, Airtel, Thomson Reuters, Dish,...
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Market metrics

#1 largest NoSQL database by revenue
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Licensing and pricing models

Apache license P ricing for commercial distribution provided by Cloudera and available...
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