DBMS > Amazon Redshift vs. Apache Drill vs. Datastax Enterprise vs. GreptimeDB

System Properties Comparison Amazon Redshift vs. Apache Drill vs. Datastax Enterprise vs. GreptimeDB

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Editorial information provided by DB-Engines

Name

Description

Large scale data warehouse service for use with business intelligence tools

Schema-free SQL Query Engine for Hadoop, NoSQL and Cloud Storage

DataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.

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

Primary database model

Relational DBMS

Document store
Relational DBMS

Wide column store

Time Series DBMS

Secondary database models

Document store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS

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

Score	16.88
Rank	#35	Overall
	#22	Relational DBMS

Score	2.02
Rank	#124	Overall
	#22	Document stores
	#59	Relational DBMS

Score	5.93
Rank	#56	Overall
	#4	Wide column stores

Score	0.12
Rank	#351	Overall
	#34	Time Series DBMS

Website

aws.amazon.com/redshift

drill.apache.org

www.datastax.com/products/datastax-enterprise

greptime.com

Technical documentation

docs.aws.amazon.com/redshift

drill.apache.org/docs

docs.datastax.com

docs.greptime.com

Developer

Amazon (based on PostgreSQL)

Apache Software Foundation

DataStax

Greptime Inc.

Initial release

2012

2011

2022

Current release

1.20.3, January 2023

6.8, April 2020

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.

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Implementation language

Java

Rust

Server operating systems

hosted

Linux
OS X
Windows

Linux
OS X

Android
Docker
FreeBSD
Linux
macOS
Windows

Data scheme

yes

schema-free

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.

Secondary indexes

restricted

yes

SQL

Support of SQL

yes

does not fully support an SQL-standard

SQL SELECT statement is SQL:2003 compliant

SQL-like DML and DDL statements (CQL); Spark SQL

yes

APIs and other access methods

JDBC
ODBC

JDBC
ODBC
RESTful HTTP API

Proprietary protocol

CQL (Cassandra Query Language)
TinkerPop Gremlin

with DSE Graph

gRPC
HTTP API
JDBC

Supported programming languages

All languages supporting JDBC/ODBC

C++

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

C++
Erlang
Go
Java
JavaScript

Server-side scripts

Stored procedures

user defined functions

in Python

user defined functions

Python

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

no "single point of failure"

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

configurable replication factor, datacenter aware, advanced replication for edge computing

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Immediate Consistency
Tunable Consistency

consistency level can be individually decided with each write operation

Immediate Consistency

Foreign keys

Referential integrity

yes

informational only, not enforced by the system

Transaction concepts

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

ACID

Atomicity and isolation are supported for single operations

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

Depending on the underlying data source

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

Depending on the underlying data source

yes

User concepts

Access control

fine grained access rights according to SQL-standard

Depending on the underlying data source

Access rights for users can be defined per object

Simple rights management via user accounts

More information provided by the system vendor

Specific characteristics

DataStax Enterprise is scale-out data infrastructure for enterprises that need to...
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GreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more

Competitive advantages

Supporting the following application requirements: Zero downtime - Built on Apache...
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- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
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Typical application scenarios

Applications that must be massively and linearly scalable with 100% uptime and able...
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For IoT industries, GreptimeDB can seamless integrate with message queues and other...
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Key customers

Capital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more

Greptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more

Market metrics

Among the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
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GreptimeDB has garnered global recognition by topping GitHub trends following its...
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Licensing and pricing models

Annual subscription
» more

GreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
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