DBMS > Aerospike vs. Databend vs. GridDB

System Properties Comparison Aerospike vs. Databend vs. GridDB

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Editorial information provided by DB-Engines

Name

Description

Flash-optimized In-memory NoSQL Database

An open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexity

Scalable in-memory time series database optimized for IoT and Big Data

Primary database model

Document store
Graph DBMS

leveraging Apache Tinkerpop
Key-value store
Spatial DBMS
Vector DBMS

Relational DBMS

Time Series DBMS

Secondary database models

Key-value store
Relational DBMS

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

Score	5.34
Rank	#62	Overall
	#10	Document stores
	#3	Graph DBMS
	#7	Key-value stores
	#2	Spatial DBMS
	#3	Vector DBMS

Score	0.27
Rank	#294	Overall
	#133	Relational DBMS

Score	1.94
Rank	#120	Overall
	#10	Time Series DBMS

Website

aerospike.com

github.com/datafuselabs/databend
www.databend.com

griddb.net

Technical documentation

docs.aerospike.com

docs.databend.com

docs.griddb.net

Developer

Aerospike

Databend Labs

Toshiba Corporation

Initial release

2012

2021

2013

Current release

7.1, May 2024

1.0.59, April 2023

5.1, August 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 2.0

Open Source

AGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also 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.

Implementation language

Rust

C++

Server operating systems

Linux

hosted
Linux
macOS

Linux

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

numerical, string, blob, geometry, boolean, timestamp

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

SQL92, SQL-like TQL (Toshiba Query Language)

APIs and other access methods

JDBC
Proprietary protocol
TinkerPop Gremlin

CLI Client
JDBC
RESTful HTTP API

JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API

Supported programming languages

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

Go
Java
JavaScript (Node.js)
Python
Rust

C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby

Server-side scripts

Stored procedures

user defined functions

with Lua

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

none

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Aerospike Aggregation Framework is similar to Map/Reduce

Connector for using GridDB as an input source and output destination for Hadoop MapReduce jobs

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

Immediate consistency within container, eventual consistency across containers

Foreign keys

Referential integrity

Transaction concepts

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

Atomic execution of operations

yes

ACID at container level

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

Users with fine-grained authorization concept, user roles

Access rights for users can be defined per database

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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

Aerospike Receives $30M in Growth Financing from CIBC Innovation Banking
3 December 2024, FinSMEs

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

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

BAE Systems, Aerospike to Advance Real-Time Data Capabilities for US DoD
29 October 2024, The Defense Post

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

provided by Google News

CloudPro #12: Google Cloud TPU v5e, AWS Dedicated Local Zones, VMware Explore 2023, Cisco🤝Nutanix
1 September 2023, substack.com

Data Bending: Creating Unique Digital Visual Effects
23 April 2020, RedShark News

August 2023 - Iceberg Community News
31 August 2023, substack.com

provided by Google News

Enterprise Edition with Improved Fault Tolerance and a New Affordable Monthly Plan for GridDB
15 October 2024, global.toshiba

Toshiba launches cloudy managed IoT database service running its own GridDB
8 April 2021, The Register

Amazon Proposes to Develop New Data Center Campus in Virginia
26 August 2022, w.media

| TOSHIBA DIGITAL SOLUTIONS CORPORATION
30 October 2020, global.toshiba

provided by Google News

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