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DBMS > Blazegraph vs. FeatureBase vs. FileMaker vs. Splice Machine vs. Warp 10

System Properties Comparison Blazegraph vs. FeatureBase vs. FileMaker vs. Splice Machine vs. Warp 10

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonFeatureBase  Xexclude from comparisonFileMaker  Xexclude from comparisonSplice Machine  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.Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#217  Overall
#19  Graph DBMS
#8  RDF stores
Score0.23
Rank#296  Overall
#134  Relational DBMS
Score45.20
Rank#20  Overall
#14  Relational DBMS
Score0.54
Rank#244  Overall
#114  Relational DBMS
Score0.06
Rank#351  Overall
#35  Time Series DBMS
Websiteblazegraph.comwww.featurebase.comwww.claris.com/­filemakersplicemachine.comwww.warp10.io
Technical documentationwiki.blazegraph.comdocs.featurebase.comwww.claris.com/­resources/­documentationsplicemachine.com/­how-it-workswww.warp10.io/­content/­02_Getting_started
DeveloperBlazegraphMolecula and Pilosa Open Source ContributorsClaris infoa subsidiary of AppleSplice MachineSenX
Initial release20062017198320142015
Current release2.1.5, March 20192022, May 202219.4.1, November 20213.1, March 2021
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialcommercialOpen Source infoAGPL 3.0, commercial license availableOpen 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 languageJavaGoJavaJava
Server operating systemsLinux
OS X
Windows
Linux
macOS
iOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Solaris
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.noyes infoA http query request can return the data in XML formatno
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLSPARQL is used as query languageSQL queriesyes infovia pluginsyesno
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
gRPC
JDBC
Kafka Connector
ODBC
Filemaker WebDirect
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
HTTP API
Jupyter
WebSocket
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
Java
Python
PHPC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesyesyes infoJavayes infoWarpScript
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShared Nothhing Auto-Sharding, Columnar PartitioningSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replication, warm standby infosince Version 14Multi-source replication
Source-replica replication
selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationno
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 Graphsyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
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-standardMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
BlazegraphFeatureBaseFileMakerSplice MachineWarp 10
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