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DBMS > Blazegraph vs. FileMaker vs. openGauss vs. Spark SQL vs. Warp 10

System Properties Comparison Blazegraph vs. FileMaker vs. openGauss vs. Spark SQL vs. Warp 10

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonFileMaker  Xexclude from comparisonopenGauss  Xexclude from comparisonSpark SQL  Xexclude from comparisonWarp 10  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.FileMaker is a cross-platform RDBMS that includes a GUI frontend.An enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiSpark SQL is a component on top of 'Spark Core' for structured data processingTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websiteblazegraph.comwww.claris.com/­filemakergitee.com/­opengauss
opengauss.org
spark.apache.org/­sqlwww.warp10.io
Technical documentationwiki.blazegraph.comwww.claris.com/­resources/­documentationdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
spark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.warp10.io/­content/­02_Getting_started
DeveloperBlazegraphClaris infoa subsidiary of AppleHuawei and openGauss communityApache Software FoundationSenX
Initial release20061983201920142015
Current release2.1.5, March 201919.4.1, November 20213.0, March 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialOpen SourceOpen Source infoApache 2.0Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++, JavaScalaJava
Server operating systemsLinux
OS X
Windows
iOS infoclient part only
Linux
OS X
Windows
LinuxLinux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesyesschema-free
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.yes infoA http query request can return the data in XML formatnonono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLSPARQL is used as query languageyes infovia pluginsANSI SQL 2011SQL-like DML and DDL statementsno
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
Filemaker WebDirect
JDBC
ODBC
JDBC
ODBC
JDBC
ODBC
HTTP API
Jupyter
WebSocket
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
PHPC
C++
Java
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesyesyesnoyes infoWarpScript
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning (by range, list and hash)yes, utilizing Spark CoreSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication, warm standby infosince Version 14Source-replica replicationnoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyes infoRelationships in Graphsyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)simple rights management via user accounts and connection to external directory servicesAccess rights for users, groups and roles according to SQL-standardnoMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
BlazegraphFileMakeropenGaussSpark SQLWarp 10
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