DBMS > Derby vs. EventStoreDB vs. Hyprcubd vs. Kinetica vs. Splunk

System Properties Comparison Derby vs. EventStoreDB vs. Hyprcubd vs. Kinetica vs. Splunk

Editorial information provided by DB-Engines

Name

Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.

Description

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

Industrial-strength, open-source database solution built from the ground up for event sourcing.

Serverless Time Series DBMS

Fully vectorized database across both GPUs and CPUs

Analytics Platform for Big Data

Primary database model

Secondary database models

Spatial DBMS
Time Series DBMS

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

Score	4.71
Rank	#69	Overall
	#37	Relational DBMS

Score	1.10
Rank	#179	Overall
	#1	Event Stores

Score	0.64
Rank	#236	Overall
	#109	Relational DBMS

Score	86.45
Rank	#14	Overall
	#2	Search engines

Website

db.apache.org/derby

www.eventstore.com

hyprcubd.com (offline)

www.kinetica.com

www.splunk.com

Technical documentation

db.apache.org/derby/manuals/index.html

developers.eventstore.com

docs.kinetica.com

docs.splunk.com/Documentation/Splunk

Developer

Apache Software Foundation

Event Store Limited

Hyprcubd, Inc.

Kinetica

Splunk Inc.

Initial release

1997

2012

2003

Current release

10.17.1.0, November 2023

21.2, February 2021

7.1, August 2021

License

Commercial or Open Source

Open Source

Apache version 2

Open Source

commercial

Limited free edition and free developer edition available

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.

Implementation language

Java

C, C++

Server operating systems

All OS with a Java VM

Linux
Windows

hosted

Linux

Linux
OS X
Solaris
Windows

Data scheme

yes

Typing

predefined data types such as float or date

yes

time, int, uint, float, string

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

yes

SQL-like query language

SQL-like DML and DDL statements

Splunk Search Processing Language for search commands

APIs and other access methods

JDBC

gRPC (https)

JDBC
ODBC
RESTful HTTP API

HTTP REST

Supported programming languages

Java

C++
Java
JavaScript (Node.js)
Python

C#
Java
JavaScript
PHP
Python
Ruby

Server-side scripts

Stored procedures

Java Stored Procedures

user defined functions

yes

Triggers

yes

triggers when inserted values for one or more columns fall within a specified range

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

Multi-source replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Immediate Consistency or Eventual Consistency depending on configuration

Eventual Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

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

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

GPU vRAM or System RAM

User concepts

Access control

fine grained access rights according to SQL-standard

token access

Access rights for users and roles on table level

Access rights for users and roles

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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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