DBMS > Aerospike vs. Google BigQuery vs. HEAVY.AI vs. Yanza

System Properties Comparison Aerospike vs. Google BigQuery vs. HEAVY.AI vs. Yanza

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

Description

Flash-optimized In-memory NoSQL Database

Large scale data warehouse service with append-only tables

A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware

Time Series DBMS for IoT Applications

Primary database model

Document store
Graph DBMS

leveraging Apache Tinkerpop
Key-value store
Spatial DBMS

Relational DBMS

Time Series DBMS

Secondary database models

Spatial DBMS

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

Score	5.78
Rank	#61	Overall
	#11	Document stores
	#3	Graph DBMS
	#7	Key-value stores
	#2	Spatial DBMS

Score	60.38
Rank	#19	Overall
	#13	Relational DBMS

Score	1.77
Rank	#141	Overall
	#65	Relational DBMS

Website

aerospike.com

cloud.google.com/bigquery

github.com/heavyai/heavydb
www.heavy.ai

yanza.com

Technical documentation

docs.aerospike.com

cloud.google.com/bigquery/docs

docs.heavy.ai

Social network pages

Developer

Aerospike

Google

HEAVY.AI, Inc.

Yanza

Initial release

2012

2010

2016

2015

Current release

7.0, November 2023

5.10, January 2022

License

Commercial or Open Source

Open Source

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

commercial

Open Source

Apache Version 2; enterprise edition available

commercial

free version available

Cloud-based only

Only available as a cloud service

yes

but mainly used as a service provided by Yanza

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++ and CUDA

Server operating systems

Linux

hosted

Linux

Windows

Data scheme

schema-free

yes

schema-free

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

yes

APIs and other access methods

JDBC
Proprietary protocol
TinkerPop Gremlin

RESTful HTTP/JSON API

JDBC
ODBC
Thrift
Vega

HTTP API

Supported programming languages

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

.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby

All languages supporting JDBC/ODBC/Thrift
Python

any language that supports HTTP calls

Server-side scripts

Stored procedures

user defined functions

with Lua

user defined functions

in JavaScript

Triggers

yes

Timer and event based

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Sharding

Round robin

none

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

Multi-source replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Aerospike Aggregation Framework is similar to Map/Reduce

Consistency concepts

Methods to ensure consistency in a distributed system

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

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

Atomic execution of operations

Since BigQuery is designed for querying data

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 and roles

with Enterprise Edition only

Access privileges (owner, writer, reader) on dataset, table or view level

Google Cloud Identity & Access Management (IAM)

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

Aerospike is an enterprise-class, NoSQL database solution delivering predictable...
» more

Competitive advantages

Optimized for use with SSDs (solid-state hard drives) Scales horizontally and vertically...
» more

Typical application scenarios

Aerospike excels in mission-critical applications that have mixed read/write workloads...
» more

Key customers

Nielsen, Williams-Sonoma, Inmobi, AppNexus, Telco (confidential), Financial Services...
» more

Market metrics

Aerospike's combination of speed, scalability, and reliability delivers 10x performance...
» more

Licensing and pricing models

Subscription-based Enterprise Edition and free, open-source Community Edition
» more

News

Aerospike a Winner in 2024 Business Sustainability Awards
22 May 2024

New Aerospike Release Lets Enterprises Consolidate Expensive Legacy Cache And Database Platforms
15 May 2024

Aerospike Recognized by Independent Research Firm Among Notable Vendors in Vector Databases Report
7 May 2024

Aerospike Closes $109M in Growth Capital from Sumeru Equity Partners
4 April 2024

Aerospike Achieves the new AWS Advertising and Marketing Technology Competency
30 November 2023

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.