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DBMS > IBM Db2 Event Store vs. Solr vs. SQream DB vs. WakandaDB

System Properties Comparison IBM Db2 Event Store vs. Solr vs. SQream DB vs. WakandaDB

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonSolr  Xexclude from comparisonSQream DB  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesA widely used distributed, scalable search engine based on Apache Lucenea GPU-based, columnar RDBMS for big data analytics workloadsWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelEvent Store
Time Series DBMS
Search engineRelational DBMSObject oriented DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.74
Rank#224  Overall
#103  Relational DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitewww.ibm.com/­products/­db2-event-storesolr.apache.orgsqream.comwakanda.github.io
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storesolr.apache.org/­resources.htmldocs.sqream.comwakanda.github.io/­doc
DeveloperIBMApache Software FoundationSQream TechnologiesWakanda SAS
Initial release2017200620172012
Current release2.09.6.1, May 20242022.1.6, December 20222.7.0 (April 29, 2019), April 2019
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen Source infoApache Version 2commercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++JavaC++, CUDA, Haskell, Java, ScalaC++, JavaScript
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)LinuxLinux
OS X
Windows
Data schemeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyesyes
Typing infopredefined data types such as float or dateyesyes infosupports customizable data types and automatic typingyes, ANSI Standard SQL Typesyes
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.noyesno
Secondary indexesnoyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeSolr Parallel SQL Interfaceyesno
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
.Net
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresyesJava pluginsuser defined functions in Pythonyes
Triggersnoyes infoUser configurable commands triggered on index changesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyesyes

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More resources
IBM Db2 Event StoreSolrSQream DBWakandaDB
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