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DBMS > Blazegraph vs. Databricks vs. Firebird vs. Sphinx

System Properties Comparison Blazegraph vs. Databricks vs. Firebird vs. Sphinx

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonDatabricks  Xexclude from comparisonFirebird  Xexclude from comparisonSphinx  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.The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Firebird is an open source RDBMS forked from Borland's InterBaseOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelGraph DBMS
RDF store
Document store
Relational DBMS
Relational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websiteblazegraph.comwww.databricks.comwww.firebirdsql.orgsphinxsearch.com
Technical documentationwiki.blazegraph.comdocs.databricks.comwww.firebirdsql.org/­en/­reference-manualssphinxsearch.com/­docs
DeveloperBlazegraphDatabricksFirebird FoundationSphinx Technologies Inc.
Initial release200620132000 infoAs fork of Borland's InterBase2001
Current release2.1.5, March 20195.0.0, January 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialOpen Source infoInitial Developer's Public LicenseOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C++
Server operating systemsLinux
OS X
Windows
hostedAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesno
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.yes
Secondary indexesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSPARQL is used as query languagewith Databricks SQLyesSQL-like query language (SphinxQL)
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JDBC
ODBC
RESTful HTTP API
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
Proprietary protocol
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
Python
R
Scala
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesPSQLno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)Users with fine-grained authorization conceptno
More information provided by the system vendor
BlazegraphDatabricksFirebirdSphinx
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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