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DBMS > IBM Db2 warehouse vs. ObjectBox vs. Snowflake vs. Solr

System Properties Comparison IBM Db2 warehouse vs. ObjectBox vs. Snowflake vs. Solr

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Editorial information provided by DB-Engines
NameIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonObjectBox  Xexclude from comparisonSnowflake  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionCloud-based data warehousing serviceLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsCloud-based data warehousing service for structured and semi-structured dataA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSObject oriented DBMS
Vector DBMS
Relational DBMSSearch engine
Secondary database modelsTime Series DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitewww.ibm.com/­products/­db2/­warehousegithub.com/­objectbox
objectbox.io
www.snowflake.comsolr.apache.org
Technical documentationdocs.objectbox.iodocs.snowflake.net/­manuals/­index.htmlsolr.apache.org/­resources.html
DeveloperIBMObjectBox LimitedSnowflake Computing Inc.Apache Software Foundation
Initial release2014201720142006
Current release4.0 (May 2024)9.6.1, May 2024
License infoCommercial or Open SourcecommercialBindings are released under Apache 2.0 infoApache License 2.0commercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++Java
Server operating systemshostedAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
hostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)yes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyes, plus "flex" map-like typesyesyes 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.no infoImport/export of XML data possiblenoyesyes
Secondary indexesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesnoyesSolr Parallel SQL Interface
APIs and other access methods.NET Client API
JDBC
ODBC
OLE DB
Proprietary native APICLI Client
JDBC
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languagesJava
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
JavaScript (Node.js)
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresPL/SQL, SQL PLnouser defined functionsJava plugins
Triggersyesnono infosimilar concept for controling cloud resourcesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesData sync between devices allowing occasional connected databases to work completely offlineyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesUsers with fine-grained authorization concept, user roles and pluggable authenticationyes
More information provided by the system vendor
IBM Db2 warehouse infoformerly named IBM dashDBObjectBoxSnowflakeSolr
News

The on-device Vector Database for Android and Java
29 May 2024

Vector search: making sense of search queries
29 May 2024

Python on-device Vector and Object Database for Local AI
28 May 2024

Evolution of search: traditional vs vector search
23 May 2024

On-device Vector Database for Dart/Flutter
21 May 2024

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More resources
IBM Db2 warehouse infoformerly named IBM dashDBObjectBoxSnowflakeSolr
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