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DBMS > Bangdb vs. IBM Db2 warehouse vs. Solr vs. TerminusDB

System Properties Comparison Bangdb vs. IBM Db2 warehouse vs. Solr vs. TerminusDB

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonSolr  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphCloud-based data warehousing serviceA widely used distributed, scalable search engine based on Apache LuceneScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSSearch engineGraph DBMS
Secondary database modelsSpatial DBMSSpatial DBMSDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitebangdb.comwww.ibm.com/­products/­db2/­warehousesolr.apache.orgterminusdb.com
Technical documentationdocs.bangdb.comsolr.apache.org/­resources.htmlterminusdb.github.io/­terminusdb/­#
DeveloperSachin Sinha, BangDBIBMApache Software FoundationDataChemist Ltd.
Initial release2012201420062018
Current releaseBangDB 2.0, October 20219.6.0, April 202411.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen Source infoApache Version 2Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaProlog, Rust
Server operating systemsLinuxhostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Data schemeschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyes infosupports customizable data types and automatic typingyes
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.nono infoImport/export of XML data possibleyesno
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL like support with command line toolyesSolr Parallel SQL InterfaceSQL-like query language (WOQL)
APIs and other access methodsProprietary protocol
RESTful HTTP API
.NET Client API
JDBC
ODBC
OLE DB
Java API
RESTful HTTP/JSON API
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC
C#
C++
Java
Python
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
JavaScript
Python
Server-side scripts infoStored proceduresnoPL/SQL, SQL PLJava pluginsyes
Triggersyes, Notifications (with Streaming only)yesyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingShardingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yesyesJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyesyes
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standardyesRole-based access control

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More resources
BangdbIBM Db2 warehouse infoformerly named IBM dashDBSolrTerminusDB infoformer name was DataChemist
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