DBMS > Impala vs. Snowflake vs. SQream DB

System Properties Comparison Impala vs. Snowflake vs. SQream DB

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Editorial information provided by DB-Engines

Name

Description

Analytic DBMS for Hadoop

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

a GPU-based, columnar RDBMS for big data analytics workloads

Primary database model

Relational DBMS

Secondary database models

Document store

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

Score	18.95
Rank	#37	Overall
	#23	Relational DBMS

Score	114.40
Rank	#11	Overall
	#8	Relational DBMS

Score	0.81
Rank	#238	Overall
	#112	Relational DBMS

Website

www.cloudera.com/products/open-source/apache-hadoop/impala.html

www.snowflake.com

sqream.com

Technical documentation

docs.cloudera.com/documentation/enterprise/latest/topics/impala.html

docs.snowflake.net/manuals/index.html

docs.sqream.com

Developer

Cloudera

Snowflake Computing Inc.

SQream Technologies

Initial release

2013

2014

2017

Current release

4.1.0, June 2022

2022.1.6, December 2022

License

Commercial or Open Source

Open Source

Apache Version 2

commercial

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.

Implementation language

C++

C++, CUDA, Haskell, Java, Scala

Server operating systems

Linux

hosted

Linux

Data scheme

yes

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

yes

Typing

predefined data types such as float or date

yes

yes, ANSI Standard SQL Types

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-like DML and DDL statements

yes

APIs and other access methods

JDBC
ODBC

CLI Client
JDBC
ODBC

.Net
JDBC
ODBC

Supported programming languages

All languages supporting JDBC/ODBC

JavaScript (Node.js)
Python

C++
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

yes

user defined functions and integration of map-reduce

user defined functions

user defined functions in Python

Triggers

similar concept for controling cloud resources

Partitioning methods

Methods for storing different data on different nodes

Sharding

yes

horizontal and vertical partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

query execution via MapReduce

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

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

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, groups and roles

based on Apache Sentry and Kerberos

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

More information provided by the system vendor

Specific characteristics

SQream allows companies to get answers from its data and get new business-insights...
» more

Competitive advantages

Scalability when processing bigger datasets. Faster business insights, with more...
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Typical application scenarios

What can you do with 100x faster SQL analytics? Better and more timely decision-making,...
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Key customers

Some of our customers include: LG-U+, AIS , ACL Mobile, Pubmatic, Telkomsel, LG Electronics
» more

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