DBMS > Apache Impala vs. Derby vs. EventStoreDB vs. Hyprcubd vs. Splunk

System Properties Comparison Apache Impala vs. Derby vs. EventStoreDB vs. Hyprcubd vs. Splunk

Editorial information provided by DB-Engines

Name

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

Description

Analytic DBMS for Hadoop

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

Analytics Platform for Big Data

Primary database model

Secondary database models

Document store

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

Score	13.77
Rank	#40	Overall
	#24	Relational DBMS

Score	4.71
Rank	#69	Overall
	#37	Relational DBMS

Score	1.10
Rank	#179	Overall
	#1	Event Stores

Score	86.45
Rank	#14	Overall
	#2	Search engines

Website

impala.apache.org

db.apache.org/derby

www.eventstore.com

hyprcubd.com (offline)

www.splunk.com

Technical documentation

impala.apache.org/impala-docs.html

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

developers.eventstore.com

docs.splunk.com/Documentation/Splunk

Developer

Apache Software Foundation

Apache top-level project, originally developed by Cloudera

Apache Software Foundation

Event Store Limited

Hyprcubd, Inc.

Splunk Inc.

Initial release

2013

1997

2012

2003

Current release

4.1.0, June 2022

10.17.1.0, November 2023

21.2, February 2021

License

Commercial or Open Source

Open Source

Apache Version 2

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

C++

Java

Server operating systems

Linux

All OS with a Java VM

Linux
Windows

hosted

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

SQL-like DML and DDL statements

yes

SQL-like query language

Splunk Search Processing Language for search commands

APIs and other access methods

JDBC
ODBC

JDBC

gRPC (https)

HTTP REST

Supported programming languages

All languages supporting JDBC/ODBC

Java

C#
Java
JavaScript
PHP
Python
Ruby

Server-side scripts

Stored procedures

yes

user defined functions and integration of map-reduce

Java Stored Procedures

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

Source-replica replication

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

Immediate Consistency

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

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

token access

Access rights for users and roles

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More resources

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