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DBMS > Apache Impala vs. Blazegraph vs. Cubrid vs. Lovefield vs. mSQL

System Properties Comparison Apache Impala vs. Blazegraph vs. Cubrid vs. Lovefield vs. mSQL

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBlazegraph  Xexclude from comparisonCubrid  Xexclude from comparisonLovefield  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionAnalytic DBMS for HadoopHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.CUBRID is an open-source SQL-based relational database management system with object extensions for OLTPEmbeddable relational database for web apps written in pure JavaScriptmSQL (Mini SQL) is a simple and lightweight RDBMS
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Websiteimpala.apache.orgblazegraph.comcubrid.com (korean)
cubrid.org (english)
google.github.io/­lovefieldhughestech.com.au/­products/­msql
Technical documentationimpala.apache.org/­impala-docs.htmlwiki.blazegraph.comcubrid.org/­manualsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaBlazegraphCUBRID Corporation, CUBRID FoundationGoogleHughes Technologies
Initial release20132006200820141994
Current release4.1.0, June 20222.1.5, March 201911.0, January 20212.1.12, February 20174.4, October 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoextended commercial license availableOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial infofree licenses can be provided
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC, C++, JavaJavaScriptC
Server operating systemsLinuxLinux
OS X
Windows
Linux
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyesyesyes
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.nononono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSPARQL is used as query languageyesSQL-like query language infovia JavaScript builder patternA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
ADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaScriptC
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesJava Stored Proceduresnono
TriggersnonoyesUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistencynone
Foreign keys infoReferential integritynoyes infoRelationships in Graphsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infousing MemoryDBno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosSecurity and Authentication via Web Application Container (Tomcat, Jetty)fine grained access rights according to SQL-standardnono

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More resources
Apache ImpalaBlazegraphCubridLovefieldmSQL infoMini SQL
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