DBMS > Amazon SimpleDB vs. Cassandra vs. GBase vs. GreptimeDB

System Properties Comparison Amazon SimpleDB vs. Cassandra vs. GBase vs. GreptimeDB

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Editorial information provided by DB-Engines

Name

Description

Hosted simple database service by Amazon, with the data stored in the Amazon Cloud.

There is an unrelated product called SimpleDB developed by Edward Sciore

Wide-column store based on ideas of BigTable and DynamoDB

Optimized for write access

Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.

An open source Time Series DBMS built for increased scalability, high performance and efficiency

Primary database model

Secondary database models

Vector DBMS

starting with release V5

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

Score	1.88
Rank	#133	Overall
	#23	Key-value stores

Score	98.83
Rank	#12	Overall
	#1	Wide column stores

Score	1.05
Rank	#186	Overall
	#86	Relational DBMS

Score	0.12
Rank	#351	Overall
	#34	Time Series DBMS

Website

aws.amazon.com/simpledb

cassandra.apache.org

www.gbase.cn

greptime.com

Technical documentation

docs.aws.amazon.com/simpledb

cassandra.apache.org/doc/latest

docs.greptime.com

Developer

Amazon

Apache Software Foundation

Apache top level project, originally developped by Facebook

General Data Technology Co., Ltd.

Greptime Inc.

Initial release

2007

2008

2004

2022

Current release

4.1.3, July 2023

GBase 8a, GBase 8s, GBase 8c

License

Commercial or Open Source

commercial

Open Source

Apache version 2

commercial

Open Source

Apache Version 2.0

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.

Astra DB: Multi-cloud DBaaS built on Apache Cassandra.

Implementation language

Java

C, Java, Python

Rust

Server operating systems

hosted

BSD
Linux
OS X
Windows

Linux

Android
Docker
FreeBSD
Linux
macOS
Windows

Data scheme

schema-free

yes

schema-free, schema definition possible

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.

yes

Secondary indexes

yes

All columns are indexed automatically

restricted

only equality queries, not always the best performing solution

yes

SQL

Support of SQL

SQL-like SELECT, DML and DDL statements (CQL)

Standard with numerous extensions

yes

APIs and other access methods

RESTful HTTP API

Proprietary protocol

CQL (Cassandra Query Language, an SQL-like language)
Thrift

ADO.NET
C API
JDBC
ODBC

gRPC
HTTP API
JDBC

Supported programming languages

.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala

C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript

Node.js
Perl
PHP
Python
Ruby
Scala

C++
Erlang
Go
Java
JavaScript

Server-side scripts

Stored procedures

user defined functions

Python

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding must be implemented in the application

Sharding

no "single point of failure"

horizontal partitioning (by range, list and hash) and vertical partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

selectable replication factor

Representation of geographical distribution of servers is possible

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

can be specified for read operations

Eventual Consistency
Immediate Consistency

can be individually decided for each write operation

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

Concurrent data updates can be detected by the application

Atomicity and isolation are supported for single operations

ACID

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.

User concepts

Access control

Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)

Access rights for users can be defined per object

yes

Simple rights management via user accounts

More information provided by the system vendor

Specific characteristics

Apache Cassandra is the leading NoSQL, distributed database management system, well...
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GreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
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Competitive advantages

No single point of failure ensures 100% availability . Operational simplicity for...
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- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
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Typical application scenarios

Internet of Things (IOT), fraud detection applications, recommendation engines, product...
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For IoT industries, GreptimeDB can seamless integrate with message queues and other...
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Key customers

Apple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
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Greptime's clients span multiple sectors including IoT, connected vehicles, and energy...
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Market metrics

Cassandra is used by 40% of the Fortune 100.
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GreptimeDB has garnered global recognition by topping GitHub trends following its...
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Licensing and pricing models

Apache licenseÂ Pricing for commercial distributions provided by DataStax and available...
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GreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
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