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DBMS > Blazegraph vs. CockroachDB vs. Hive vs. Microsoft Access vs. Spark SQL

System Properties Comparison Blazegraph vs. CockroachDB vs. Hive vs. Microsoft Access vs. Spark SQL

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonCockroachDB  Xexclude from comparisonHive  Xexclude from comparisonMicrosoft Access  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.
DescriptionHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.CockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.data warehouse software for querying and managing large distributed datasets, built on HadoopMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websiteblazegraph.comwww.cockroachlabs.comhive.apache.orgwww.microsoft.com/­en-us/­microsoft-365/­accessspark.apache.org/­sql
Technical documentationwiki.blazegraph.comwww.cockroachlabs.com/­docscwiki.apache.org/­confluence/­display/­Hive/­Homedeveloper.microsoft.com/­en-us/­accessspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperBlazegraphCockroach LabsApache Software Foundation infoinitially developed by FacebookMicrosoftApache Software Foundation
Initial release20062015201219922014
Current release2.1.5, March 201923.1.1, May 20233.1.3, April 20221902 (16.0.11328.20222), March 20193.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoApache 2.0, commercial license availableOpen Source infoApache Version 2commercial infoBundled with Microsoft OfficeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJavaC++Scala
Server operating systemsLinux
OS X
Windows
Linux
macOS
Windows
All OS with a Java VMWindows infoNot a real database server, but making use of DLLsLinux
OS X
Windows
Data schemeschema-freedynamic schemayesyesyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyesyesyes
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 indexesyesyesyesyesno
SQL infoSupport of SQLSPARQL is used as query languageyes, wire compatible with PostgreSQLSQL-like DML and DDL statementsyes infobut not compliant to any SQL standardSQL-like DML and DDL statements
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JDBCJDBC
ODBC
Thrift
ADO.NET
DAO
ODBC
OLE DB
JDBC
ODBC
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C++
Java
PHP
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesnoyes infouser defined functions and integration of map-reduceyes infosince Access 2010 using the ACE-engineno
Triggersnononoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTShardingnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication using RAFTselectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)Role-based access controlAccess rights for users, groups and rolesno infoa simple user-level security was built in till version Access 2003no

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More resources
BlazegraphCockroachDBHiveMicrosoft AccessSpark SQL
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