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DBMS > Blazegraph vs. Fujitsu Enterprise Postgres vs. GreptimeDB

System Properties Comparison Blazegraph vs. Fujitsu Enterprise Postgres vs. GreptimeDB

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonGreptimeDB  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.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.An open source Time Series DBMS built for increased scalability, high performance and efficiency
Primary database modelGraph DBMS
RDF store
Relational 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
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Websiteblazegraph.comwww.postgresql.fastware.comgreptime.com
Technical documentationwiki.blazegraph.comwww.postgresql.fastware.com/­product-manualsdocs.greptime.com
DeveloperBlazegraphPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGreptime Inc.
Initial release20062022
Current release2.1.5, March 2019Fujitsu Enterprise Postgres 14, January 2022
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCRust
Server operating systemsLinux
OS X
Windows
Linux
Windows
Android
Docker
FreeBSD
Linux
macOS
Windows
Data schemeschema-freeyesschema-free, schema definition possible
Typing infopredefined data types such as float or dateyes 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.no
Secondary indexesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageyesyes
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
HTTP API
JDBC
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Erlang
Go
Java
JavaScript
Server-side scripts infoStored proceduresyesuser defined functionsPython
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)fine grained access rights according to SQL-standardSimple rights management via user accounts
More information provided by the system vendor
BlazegraphFujitsu Enterprise PostgresGreptimeDB
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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BlazegraphFujitsu Enterprise PostgresGreptimeDB
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