DBMS > Cassandra vs. IBM Db2 Event Store vs. ScyllaDB

System Properties Comparison Cassandra vs. IBM Db2 Event Store vs. ScyllaDB

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Editorial information provided by DB-Engines

Name

Description

Wide-column store based on ideas of BigTable and DynamoDB info

Optimized for write access

Distributed Event Store optimized for Internet of Things use cases

Cassandra-compatible wide column store

Primary database model

Wide column store

Event Store
Time Series DBMS

Wide column store

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

Score	120.71
Rank	#10	Overall
	#1	Wide column stores

Score	0.24
Rank	#247	Overall
	#2	Event Stores
	#15	Time Series DBMS

Score	2.02
Rank	#110	Overall
	#8	Wide column stores

Website

cassandra.apache.org

www.ibm.biz/eventstore

www.scylladb.com

Technical documentation

cassandra.apache.org/doc/latest

www.ibm.com/support/knowledgecenter/en/SSGNPV_1.1.2/eventstore/welcome.html

docs.scylladb.com

Developer

Apache Software Foundation info

Apache top level project, originally developped by Facebook

IBM

ScyllaDB

Initial release

2008

2017

2015

Current release

3.11.5, October 2019

1.1.3

Scylla Open Source 3.1.0, October 2019

License

Commercial or Open Source

Open Source info

Apache version 2

commercial info

free developer edition available

Open Source info

Open Source (AGPL), commercial license available

Cloud-based only info

Only available as a cloud service

DBaaS offerings (sponsored links) info

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

C++, Scala

C++

Server operating systems

BSD
Linux
OS X
Windows

Linux

Linux, macOS, Windows for the developer addition

Linux

Data scheme

schema-free

yes

schema-free

Typing

predefined data types such as float or date

yes

XML support info

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 info

only equality queries, not always the best performing solution

yes

cluster global secondary indices

SQL

Support of SQL

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

yes

through the embedded Spark runtime

SQL-like DML and DDL statements (CQL)

APIs and other access methods

Proprietary protocol info

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

JDBC
RESTful HTTP API

Proprietary protocol info

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

Supported programming languages

C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript info

Node.js
Perl
PHP
Python
Ruby
Scala

Java
Python
Scala

C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala

Server-side scripts info

Stored procedures

Triggers

yes

Partitioning methods info

Methods for storing different data on different nodes

Sharding

no "single point of failure"

Sharding

Replication methods info

Methods for redundantly storing data on multiple nodes

selectable replication factor info

Representation of geographical distribution of servers is possible

Active-active shard replication

selectable replication factor info

Representation of geographical distribution of servers is possible

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts info

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency info

can be individually decided for each write operation

Eventual Consistency

Eventual Consistency
Immediate Consistency info

can be individually decided for each write operation

Foreign keys info

Referential integrity

Transaction concepts info

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

Atomicity and isolation are supported for single operations

Concurrency info

Support for concurrent manipulation of data

yes

No - written data is immutable

yes

Durability info

Support for making data persistent

yes

Yes - Synchronous writes to local disk combined with replication

yes

In-memory capabilities info

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

yes

in-memory tables

User concepts info

Access control

Access rights for users can be defined per object

User level access control

Access rights for users can be defined per object

More information provided by the system vendor

Specific characteristics

Apache Cassandra is the leading NoSQL, distributed database management system, well...
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Scylla is a highly-available, highly-scalable, highly-performant NoSQL database....
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Competitive advantages

No single point of failure ensures 100% availability . Operational simplicity for...
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Highly-performant (efficiently utilizes full resources of a node and network; millions...
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Typical application scenarios

Internet of Things (IOT), fraud detection applications, recommendation engines, product...
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AdTech (AdGear, AppNexus, Dstillery, Numberly, Sizmek) Cybersecurity (Veramine) Entertainment...
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Key customers

Apple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
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Comcast, Grab, Yahoo! Japan, IMVU, Adgear, Appnexus, Zenly, Natura, Snapfish, mParticle,...
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Market metrics

Cassandra is used by 40% of the Fortune 100.
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Licensing and pricing models

Apache licenseÂ Pricing for commercial distributions provided by DataStax and available...
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Scylla Open Source - free open source software (AGPL) Scylla Enterprise - subscription-based...
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