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DBMS > Bangdb vs. Ingres vs. LevelDB vs. mSQL vs. Solr

System Properties Comparison Bangdb vs. Ingres vs. LevelDB vs. mSQL vs. Solr

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonIngres  Xexclude from comparisonLevelDB  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphWell established RDBMSEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesmSQL (Mini SQL) is a simple and lightweight RDBMSA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSKey-value storeRelational DBMSSearch engine
Secondary database modelsSpatial DBMSSpatial DBMS
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
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitebangdb.comwww.actian.com/­databases/­ingresgithub.com/­google/­leveldbhughestech.com.au/­products/­msqlsolr.apache.org
Technical documentationdocs.bangdb.comdocs.actian.com/­ingresgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdsolr.apache.org/­resources.html
DeveloperSachin Sinha, BangDBActian CorporationGoogleHughes TechnologiesApache Software Foundation
Initial release20121974 infooriginally developed at University Berkely in early 1970s201119942006
Current releaseBangDB 2.0, October 202111.2, May 20221.23, February 20214.4, October 20219.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen Source infoBSDcommercial infofree licenses can be providedOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++CC++CJava
Server operating systemsLinuxAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Illumos
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesschema-freeyesyes 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, eventsyesnoyesyes 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.nono infobut tools for importing/exporting data from/to XML-files availablenonoyes
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesnoyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL like support with command line toolyesnoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSolr Parallel SQL Interface
APIs and other access methodsProprietary protocol
RESTful HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Java
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyesnonoJava plugins
Triggersyes, Notifications (with Streaming only)yesnonoyes 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 algorithmhorizontal partitioning infoIngres Star to access multiple databases simultaneouslynonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Ingres Replicatornonenoneyes
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 systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyes infoMVCCyesnoyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyes infowith automatic compression on writesyesyes
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 modenonoyes
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standardnonoyes

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More resources
BangdbIngresLevelDBmSQL infoMini SQLSolr
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