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

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

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonScyllaDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesCassandra and DynamoDB compatible wide column storeA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelEvent Store
Time Series DBMS
Wide column storeSearch engine
Secondary database modelsKey-value storeSpatial DBMS
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
Score44.28
Rank#24  Overall
#3  Search engines
Websitewww.ibm.com/­products/­db2-event-storewww.scylladb.comsolr.apache.org
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.scylladb.comsolr.apache.org/­resources.html
DeveloperIBMScyllaDBApache Software Foundation
Initial release201720152006
Current release2.0ScyllaDB Open Source 5.4.1, January 20249.5.0, February 2024
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen Source infoOpen Source (AGPL), commercial license availableOpen Source infoApache Version 2
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 and C++C++Java
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typing
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.nonoyes
Secondary indexesnoyes infocluster global secondary indicesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeSQL-like DML and DDL statements (CQL)Solr Parallel SQL Interface
APIs and other access methodsADO.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
Java API
RESTful HTTP/JSON API
Supported programming languagesC
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
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesyes, LuaJava plugins
Triggersnonoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationselectable replication factor infoRepresentation of geographical distribution of servers is possibleyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Eventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsoptimistic locking
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoin-memory tablesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per objectyes
More information provided by the system vendor
IBM Db2 Event StoreScyllaDBSolr
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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