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DBMS > Bangdb vs. Blazegraph vs. Hive vs. Spark SQL

System Properties Comparison Bangdb vs. Blazegraph vs. Hive vs. Spark SQL

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonBlazegraph  Xexclude from comparisonHive  Xexclude from comparisonSpark SQL  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionConverged and high performance database for device data, events, time series, document and graphHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.data warehouse software for querying and managing large distributed datasets, built on HadoopSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Graph DBMS
RDF store
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.15
Rank#334  Overall
#45  Document stores
#31  Graph DBMS
#31  Time Series DBMS
Score0.77
Rank#222  Overall
#20  Graph DBMS
#8  RDF stores
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Websitebangdb.comblazegraph.comhive.apache.orgspark.apache.org/­sql
Technical documentationdocs.bangdb.comwiki.blazegraph.comcwiki.apache.org/­confluence/­display/­Hive/­Homespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperSachin Sinha, BangDBBlazegraphApache Software Foundation infoinitially developed by FacebookApache Software Foundation
Initial release2012200620122014
Current releaseBangDB 2.0, October 20212.1.5, March 20193.1.3, April 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoextended commercial license availableOpen Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaJavaScala
Server operating systemsLinuxLinux
OS X
Windows
All OS with a Java VMLinux
OS X
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyes infoRDF literal typesyesyes
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
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyesno
SQL infoSupport of SQLSQL like support with command line toolSPARQL is used as query languageSQL-like DML and DDL statementsSQL-like DML and DDL statements
APIs and other access methodsProprietary protocol
RESTful HTTP API
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
Python
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C++
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyesyes infouser defined functions and integration of map-reduceno
Triggersyes, Notifications (with Streaming only)nonono
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yesselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integritynoyes infoRelationships in Graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
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 modeno
User concepts infoAccess controlyes (enterprise version only)Security and Authentication via Web Application Container (Tomcat, Jetty)Access rights for users, groups and rolesno

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BangdbBlazegraphHiveSpark SQL
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