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

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

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonIgnite  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelEvent Store
Time Series DBMS
Key-value store
Relational DBMS
Search engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#320  Overall
#2  Event Stores
#28  Time Series DBMS
Score4.04
Rank#86  Overall
#12  Key-value stores
#46  Relational DBMS
Score43.91
Rank#24  Overall
#3  Search engines
Websitewww.ibm.com/­products/­db2-event-storeignite.apache.orgsolr.apache.org
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storeapacheignite.readme.io/­docssolr.apache.org/­resources.html
DeveloperIBMApache Software FoundationApache Software Foundation
Initial release201720152006
Current release2.0Apache Ignite 2.69.5.0, February 2024
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen Source infoApache 2.0Open 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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Implementation languageC and C++C++, Java, .NetJava
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinux
OS X
Solaris
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesyes 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.noyesyes
Secondary indexesnoyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeANSI-99 for query and DML statements, subset of DDLSolr Parallel SQL Interface
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
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
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesyes (compute grid and cache interceptors can be used instead)Java plugins
Triggersnoyes (cache interceptors and events)yes 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 replicationyes (replicated cache)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)spark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic 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.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardSecurity Hooks for custom implementationsyes

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IBM Db2 Event StoreIgniteSolr
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