DBMS > Google BigQuery vs. ScyllaDB

System Properties Comparison Google BigQuery vs. ScyllaDB

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Our visitors often compare Google BigQuery and ScyllaDB with MongoDB, Cassandra and HBase.

Editorial information provided by DB-Engines

Name

Description

Large scale data warehouse service with append-only tables

Cassandra and DynamoDB compatible wide column store

Primary database model

Relational DBMS

Key-value store
Wide column store

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Trend Chart

Score	35.58
Rank	#24	Overall
	#15	Relational DBMS

Score	2.06
Rank	#114	Overall
	#22	Key-value stores
	#8	Wide column stores

Website

cloud.google.com/bigquery

www.scylladb.com

Technical documentation

cloud.google.com/bigquery/docs

docs.scylladb.com

Developer

Google

ScyllaDB

Initial release

2010

2015

Current release

Scylla Open Source 4.3, January 2021

License

Commercial or Open Source

commercial

Open Source

Open Source (AGPL), commercial license available

Cloud-based only

Only available as a cloud service

yes

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Database as a Service

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Implementation language

C++

Server operating systems

hosted

Linux

Data scheme

yes

schema-free

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

yes

cluster global secondary indices

SQL

Support of SQL

yes

SQL-like DML and DDL statements (CQL)

APIs and other access methods

RESTful HTTP/JSON API

Proprietary protocol (CQL)

compatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift

Supported programming languages

.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby

For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby

Server-side scripts

Stored procedures

user defined functions

in JavaScript

yes, Lua

Triggers

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

Representation of geographical distribution of servers is possible

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency
Tunable Consistency

can be individually decided for each write operation

Foreign keys

Referential integrity

Transaction concepts

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

Since BigQuery is designed for querying data

Atomicity and isolation are supported for single operations

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

in-memory tables

User concepts

Access control

Access privileges (owner, writer, reader) for whole datasets, not for individual tables

Google Cloud Identity & Access Management (IAM)

Access rights for users can be defined per object

More information provided by the system vendor

Specific characteristics

Scylla is a highly-available, highly-scalable, highly-performant NoSQL database....
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Competitive advantages

Highly-performant (efficiently utilizes full resources of a node and network; millions...
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Typical application scenarios

AdTech ( AdGear , Dstillery , MediaMath , Numberly , SAS , SteelHouse , Xandr) Customer...
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Key customers

Comcast, Grab, OlaCabs, Yahoo! Japan, IMVU, Adgear, Xandr, Zenly, Natura, Snapfish,...
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Licensing and pricing models

Scylla Open Source - free open source software (AGPL) Scylla Enterprise - subscription-based...
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