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DBMS > Bangdb vs. Coveo vs. Graph Engine vs. Solr

System Properties Comparison Bangdb vs. Coveo vs. Graph Engine vs. Solr

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonCoveo  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Search engineGraph DBMS
Key-value store
Search engine
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score2.11
Rank#118  Overall
#11  Search engines
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score41.02
Rank#24  Overall
#3  Search engines
Websitebangdb.comwww.coveo.comwww.graphengine.iosolr.apache.org
Technical documentationdocs.bangdb.comdocs.coveo.comwww.graphengine.io/­docs/­manualsolr.apache.org/­resources.html
DeveloperSachin Sinha, BangDBCoveoMicrosoftApache Software Foundation
Initial release2012201220102006
Current releaseBangDB 2.0, October 20219.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen Source infoMIT LicenseOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++.NET and CJava
Server operating systemsLinuxhosted.NETAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyes 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.nononoyes
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL like support with command line toolnonoSolr Parallel SQL Interface
APIs and other access methodsProprietary protocol
RESTful HTTP API
RESTful HTTP APIRESTful HTTP APIJava API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Java
Python
C#
Java
JavaScript
Python
C#
C++
F#
Visual Basic
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoyesJava plugins
Triggersyes, Notifications (with Streaming only)yesnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmyeshorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
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)granular access controls, API key management, content filtersyes

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More resources
BangdbCoveoGraph Engine infoformer name: TrinitySolr
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