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

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

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonScyllaDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Distributed Event Store optimized for Internet of Things use casesCassandra and DynamoDB compatible wide column store
Primary database modelRelational DBMSEvent Store
Time Series DBMS
Wide column store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#316  Overall
#2  Event Stores
#28  Time Series DBMS
Score5.27
Rank#67  Overall
#5  Wide column stores
Websitewww.ibm.com/­products/­db2-event-storewww.scylladb.com
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.scylladb.com
DeveloperDrizzle project, originally started by Brian AkerIBMScyllaDB
Initial release200820172015
Current release7.2.4, September 20122.0ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercial infofree developer edition availableOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageC++C and C++C++
Server operating systemsFreeBSD
Linux
OS X
Linux infoLinux, macOS, Windows for the developer additionLinux
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesyesnoyes infocluster global secondary indices
SQL infoSupport of SQLyes infowith proprietary extensionsyes infothrough the embedded Spark runtimeSQL-like DML and DDL statements (CQL)
APIs and other access methodsJDBCADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC
C++
Java
PHP
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
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 infoStored proceduresnoyesyes, Lua
Triggersno infohooks for callbacks inside the server can be used.nono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Active-active shard replicationselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoin-memory tables
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardAccess rights for users can be defined per object
More information provided by the system vendor
DrizzleIBM Db2 Event StoreScyllaDB
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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DrizzleIBM Db2 Event StoreScyllaDB
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