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DBMS > Bangdb vs. Graph Engine vs. Postgres-XL vs. Solr vs. Sqrrl

System Properties Comparison Bangdb vs. Graph Engine vs. Postgres-XL vs. Solr vs. Sqrrl

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSolr  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionConverged and high performance database for device data, events, time series, document and graphA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA widely used distributed, scalable search engine based on Apache LuceneAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Graph DBMS
Key-value store
Relational DBMSSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Spatial 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
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitebangdb.comwww.graphengine.iowww.postgres-xl.orgsolr.apache.orgsqrrl.com
Technical documentationdocs.bangdb.comwww.graphengine.io/­docs/­manualwww.postgres-xl.org/­documentationsolr.apache.org/­resources.html
DeveloperSachin Sinha, BangDBMicrosoftApache Software FoundationAmazon infooriginally Sqrrl Data, Inc.
Initial release201220102014 infosince 2012, originally named StormDB20062012
Current releaseBangDB 2.0, October 202110 R1, October 20189.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoMIT LicenseOpen Source infoMozilla public licenseOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++.NET and CCJavaJava
Server operating systemsLinux.NETLinux
macOS
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Data schemeschema-freeyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyes 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.nonoyes infoXML type, but no XML query functionalityyes
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSQL like support with command line toolnoyes infodistributed, parallel query executionSolr Parallel SQL Interfaceno
APIs and other access methodsProprietary protocol
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP/JSON API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC
C#
C++
Java
Python
C#
C++
F#
Visual Basic
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnoyesuser defined functionsJava pluginsno
Triggersyes, Notifications (with Streaming only)noyesyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmhorizontal partitioninghorizontal partitioningShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yesselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoMVCCoptimistic lockingAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as welloptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
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 modeyesnoyes
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standardyesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
BangdbGraph Engine infoformer name: TrinityPostgres-XLSolrSqrrl
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