DBMS > Aerospike vs. Apache Impala vs. RDF4J

System Properties Comparison Aerospike vs. Apache Impala vs. RDF4J

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Editorial information provided by DB-Engines

Name

Description

Flash-optimized In-memory NoSQL Database

Analytic DBMS for Hadoop

RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.

Primary database model

Document store
Graph DBMS

leveraging Apache Tinkerpop
Key-value store
Spatial DBMS
Vector DBMS

Relational DBMS

RDF store

Secondary database models

Document store

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

Score	5.57
Rank	#60	Overall
	#10	Document stores
	#3	Graph DBMS
	#6	Key-value stores
	#2	Spatial DBMS
	#3	Vector DBMS

Score	10.08
Rank	#41	Overall
	#25	Relational DBMS

Score	0.77
Rank	#214	Overall
	#8	RDF stores

Website

aerospike.com

impala.apache.org

rdf4j.org

Technical documentation

docs.aerospike.com

impala.apache.org/impala-docs.html

rdf4j.org/documentation

Developer

Aerospike

Apache Software Foundation

Apache top-level project, originally developed by Cloudera

Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.

Initial release

2012

2013

2004

Current release

7.1, May 2024

4.1.0, June 2022

License

Commercial or Open Source

Open Source

Apache and AGPL Licenses; open sourced in June 2014; commercial Enterprise Edition available

Open Source

Apache Version 2

Open Source

Eclipse Distribution License (EDL), v1.0.

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

Linux
OS X
Unix
Windows

Data scheme

schema-free

yes

RDF Schemas

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.

Secondary indexes

yes

SQL

Support of SQL

SQL-like DML and DDL statements

APIs and other access methods

JDBC
Proprietary protocol
TinkerPop Gremlin

JDBC
ODBC

Java API
RIO

RDF Input/Output
Sail API
SeRQL

Sesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL

Supported programming languages

.Net
C
C#
C++
Erlang
Go
Java
JavaScript (Node.js)
Lua
Perl
PHP
Python
Ruby

All languages supporting JDBC/ODBC

Java
PHP
Python

Server-side scripts

Stored procedures

user defined functions

with Lua

yes

user defined functions and integration of map-reduce

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

selectable replication factor

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Aerospike Aggregation Framework is similar to Map/Reduce

yes

query execution via MapReduce

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency in cross-datacenter configuration and Immediate Consistency in local cluster configuration

Eventual Consistency

Foreign keys

Referential integrity

Transaction concepts

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

Atomic execution of operations

ACID

Isolation support depends on the API used

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

in-memory storage is supported as well

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 and roles

with Enterprise Edition only

Access rights for users, groups and roles

based on Apache Sentry and Kerberos

More information provided by the system vendor

News

Aerospike Year-over-Year Recurring Revenue Soars by 51% as Demand for AI Rises
4 September 2024

Aerospike Named to Inc. 5000 List of Fastest-Growing Companies in America for Third Consecutive Year
20 August 2024

BSV Association and Aerospike Achieve 100 Billion BSV Blockchain Transactions Per Day on Teranode
30 July 2024

Aerospike Appoints Venkatesh Guntur as Country Head for Southeast Asia
25 June 2024

Aerospike, AWS, Google, Glean, and other Industry Leaders Speaking at Real-time Data Summit 2024
5 June 2024

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More resources

DB-Engines blog posts

Evaluating Hbase and Aerospike Solutions for Real-time System of Record
17 March 2020, Srini Srinivasan, Aerospike (sponsor)

show all

Recent citations in the news

BAE Systems and Aerospike collaborate to accelerate future real-time data solutions for the U.S. Army
22 October 2024, Nasdaq

Aerospike Cloud: Scalable Real-time Database-as-a-Service with AWS SaaS Factory Support
5 July 2024, AWS Blog

Aerospike Year-over-Year Recurring Revenue Soars by 51% as Demand for AI Rises
5 September 2024, Datanami

Aerospike raises $109M for its real-time database platform to capitalize on the AI boom
4 April 2024, TechCrunch

Aerospike: Interview With CEO Subbu Iyer About The Real-Time Database Scaling Company
23 September 2024, Pulse 2.0

provided by Google News

Cloudera brings Apache Iceberg data lake format to its Data Platform
30 June 2022, SiliconANGLE News

Building a Large-scale Transactional Data Lake at Uber Using Apache Hudi
9 June 2020, Uber

Apache Iceberg Changes Everything: What's Underneath?
28 August 2023, Spiceworks News and Insights

Apache Doris just 'graduated': Why care about this SQL data warehouse
24 June 2022, InfoWorld

Picking the Right SQL-on-Hadoop Tool for the Job
13 January 2016, Datanami

provided by Google News

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