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DBMS > IBM Db2 warehouse vs. Lovefield vs. Machbase Neo vs. Microsoft Azure Table Storage vs. Solr

System Properties Comparison IBM Db2 warehouse vs. Lovefield vs. Machbase Neo vs. Microsoft Azure Table Storage vs. Solr

Editorial information provided by DB-Engines
NameIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonLovefield  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionCloud-based data warehousing serviceEmbeddable relational database for web apps written in pure JavaScriptTimeSeries DBMS for AIoT and BigDataA Wide Column Store for rapid development using massive semi-structured datasetsA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSRelational DBMSTime Series DBMSWide column storeSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score42.91
Rank#24  Overall
#3  Search engines
Websitewww.ibm.com/­products/­db2/­warehousegoogle.github.io/­lovefieldmachbase.comazure.microsoft.com/­en-us/­services/­storage/­tablessolr.apache.org
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdmachbase.com/­dbmssolr.apache.org/­resources.html
DeveloperIBMGoogleMachbaseMicrosoftApache Software Foundation
Initial release20142014201320122006
Current release2.1.12, February 2017V8.0, August 20239.6.0, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infofree test version availablecommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptCJava
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
macOS
Windows
hostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyesyes 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 possiblenononoyes
Secondary indexesyesyesyesnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesSQL-like query language infovia JavaScript builder patternSQL-like query languagenoSolr Parallel SQL Interface
APIs and other access methods.NET Client API
JDBC
ODBC
OLE DB
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP APIJava API
RESTful HTTP/JSON API
Supported programming languagesJava
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
JavaScriptC
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
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 proceduresPL/SQL, SQL PLnononoJava plugins
TriggersyesUsing read-only observersnonoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneselectable replication factoryes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnooptimistic lockingoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databasenoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDByes infovolatile and lookup tablenoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnosimple password-based access controlAccess rights based on private key authentication or shared access signaturesyes

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More resources
IBM Db2 warehouse infoformerly named IBM dashDBLovefieldMachbase Neo infoFormer name was InfinifluxMicrosoft Azure Table StorageSolr
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