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DBMS > Bangdb vs. Microsoft Azure Synapse Analytics vs. Percona Server for MongoDB vs. Solr

System Properties Comparison Bangdb vs. Microsoft Azure Synapse Analytics vs. Percona Server for MongoDB vs. Solr

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA drop-in replacement for MongoDB Community Edition with enterprise-grade features.A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSDocument storeSearch 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
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score42.91
Rank#24  Overall
#3  Search engines
Websitebangdb.comazure.microsoft.com/­services/­synapse-analyticswww.percona.com/­mongodb/­software/­percona-server-for-mongodbsolr.apache.org
Technical documentationdocs.bangdb.comdocs.microsoft.com/­azure/­synapse-analyticsdocs.percona.com/­percona-distribution-for-mongodbsolr.apache.org/­resources.html
DeveloperSachin Sinha, BangDBMicrosoftPerconaApache Software Foundation
Initial release2012201620152006
Current releaseBangDB 2.0, October 20213.4.10-2.10, November 20179.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen Source infoGPL Version 2Open 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++C++C++Java
Server operating systemsLinuxhostedLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesschema-freeyes 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, geospatialyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL like support with command line toolyesnoSolr Parallel SQL Interface
APIs and other access methodsProprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
proprietary protocol using JSONJava API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Java
Python
C#
Java
PHP
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoTransact SQLJavaScriptJava plugins
Triggersyes, Notifications (with Streaming only)nonoyes 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 algorithmSharding, horizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesspark-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
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes
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 modeyes infovia In-Memory Engineyes
User concepts infoAccess controlyes (enterprise version only)yesAccess rights for users and rolesyes

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More resources
BangdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePercona Server for MongoDBSolr
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