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DBMS > IBM Db2 warehouse vs. Lovefield vs. Manticore Search vs. Microsoft Azure Table Storage vs. Solr

System Properties Comparison IBM Db2 warehouse vs. Lovefield vs. Manticore Search 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 comparisonManticore Search  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 JavaScriptMulti-storage database for search, including full-text search.A 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 DBMSSearch engineWide column storeSearch engine
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibrarySpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score4.04
Rank#77  Overall
#6  Wide column stores
Score41.02
Rank#24  Overall
#3  Search engines
Websitewww.ibm.com/­products/­db2/­warehousegoogle.github.io/­lovefieldmanticoresearch.comazure.microsoft.com/­en-us/­services/­storage/­tablessolr.apache.org
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdmanual.manticoresearch.comsolr.apache.org/­resources.html
DeveloperIBMGoogleManticore SoftwareMicrosoftApache Software Foundation
Initial release20142014201720122006
Current release2.1.12, February 20176.0, February 20239.6.1, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGPL version 2commercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++Java
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariFreeBSD
Linux
macOS
Windows
hostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesFixed schemaschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes 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 possiblenoCan index from XMLnoyes
Secondary indexesyesyesyes infofull-text index on all search fieldsnoyes 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
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP APIJava API
RESTful HTTP/JSON API
Supported programming languagesJava
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
JavaScriptElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.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 PLnouser defined functionsnoJava plugins
TriggersyesUsing read-only observersnonoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSynchronous replication based on Galera libraryyes 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 dataACIDACIDyes infoisolated transactions for atomic changes and binary logging for safe writesoptimistic lockingoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDBnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnonoAccess rights based on private key authentication or shared access signaturesyes

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More resources
IBM Db2 warehouse infoformerly named IBM dashDBLovefieldManticore SearchMicrosoft Azure Table StorageSolr
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