DBMS > Apache Drill vs. OpenEdge vs. OpenTenBase vs. Snowflake

System Properties Comparison Apache Drill vs. OpenEdge vs. OpenTenBase vs. Snowflake

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Editorial information provided by DB-Engines

Name

Description

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

Application development environment with integrated database management system

An enterprise-level distributed HTAP open source database based on PostgreSQL

Cloud-based data warehousing service for structured and semi-structured data

Primary database model

Document store
Relational DBMS

Relational DBMS

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

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

Score	3.45
Rank	#85	Overall
	#46	Relational DBMS

Score	0.08
Rank	#370	Overall
	#156	Relational DBMS

Score	130.36
Rank	#8	Overall
	#5	Relational DBMS

Website

drill.apache.org

www.progress.com/openedge

github.com/OpenTenBase/OpenTenBase
www.opentenbase.org

www.snowflake.com

Technical documentation

drill.apache.org/docs

documentation.progress.com/output/ua/OpenEdge_latest

docs.opentenbase.org
docs.opentenbase.org/en

docs.snowflake.net/manuals/index.html

Developer

Apache Software Foundation

Progress Software Corporation

OpenAtom Foundation, previously Tencent

Snowflake Computing Inc.

Initial release

2012

1984

2014

Current release

1.20.3, January 2023

OpenEdge 12.2, March 2020

2.5, January 2024

License

Commercial or Open Source

Open Source

Apache Version 2

commercial

Open Source

BSD-3

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Server operating systems

Linux
OS X
Windows

AIX
HP-UX
Linux
Solaris
Windows

Linux

hosted

Data scheme

schema-free

yes

support of semi-structured data formats (JSON, XML, Avro)

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

SQL

Support of SQL

SQL SELECT statement is SQL:2003 compliant

yes

close to SQL 92

yes

APIs and other access methods

JDBC
ODBC
RESTful HTTP API

JDBC
ODBC

CLI Client
JDBC
ODBC

Supported programming languages

C++

Progress proprietary ABL (Advanced Business Language)

C
Go
Java
PHP
Python

JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

user defined functions

yes

user defined functions

Triggers

yes

similar concept for controling cloud resources

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning

since Version 11.4

Sharding

yes

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

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.

Depending on the underlying data source

User concepts

Access control

Depending on the underlying data source

Users and groups

Access rights for users, groups and roles according to SQL-standard

Users with fine-grained authorization concept, user roles and pluggable authentication

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