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DBMS > Apache Impala vs. Blazegraph vs. FileMaker vs. Fujitsu Enterprise Postgres

System Properties Comparison Apache Impala vs. Blazegraph vs. FileMaker vs. Fujitsu Enterprise Postgres

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBlazegraph  Xexclude from comparisonFileMaker  Xexclude from comparisonFujitsu Enterprise Postgres  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.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
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
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score0.31
Rank#285  Overall
#129  Relational DBMS
Websiteimpala.apache.orgblazegraph.comwww.claris.com/­filemakerwww.postgresql.fastware.com
Technical documentationimpala.apache.org/­impala-docs.htmlwiki.blazegraph.comwww.claris.com/­resources/­documentationwww.postgresql.fastware.com/­product-manuals
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaBlazegraphClaris infoa subsidiary of ApplePostgreSQL Global Development Group, Fujitsu Australia Software Technology
Initial release201320061983
Current release4.1.0, June 20222.1.5, March 201919.4.1, November 2021Fujitsu Enterprise Postgres 14, January 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoextended commercial license availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC
Server operating systemsLinuxLinux
OS X
Windows
iOS infoclient part only
Linux
OS X
Windows
Linux
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyesyes
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 format
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSPARQL is used as query languageyes infovia pluginsyes
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
Filemaker WebDirect
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
PHP.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesyesuser defined functions
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonepartitioning by range, list and by hash
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesSource-replica replication, warm standby infosince Version 14Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in Graphsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosSecurity and Authentication via Web Application Container (Tomcat, Jetty)simple rights management via user accounts and connection to external directory servicesfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache ImpalaBlazegraphFileMakerFujitsu Enterprise Postgres
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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Apache ImpalaBlazegraphFileMakerFujitsu Enterprise Postgres
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