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DBMS > AnzoGraph DB vs. Fujitsu Enterprise Postgres vs. GreptimeDB

System Properties Comparison AnzoGraph DB vs. Fujitsu Enterprise Postgres vs. GreptimeDB

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonGreptimeDB  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationEnterprise-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
Score0.22
Rank#301  Overall
#26  Graph DBMS
#14  RDF stores
Score0.24
Rank#297  Overall
#134  Relational DBMS
Score0.11
Rank#336  Overall
#29  Time Series DBMS
Websitecambridgesemantics.com/­anzographwww.postgresql.fastware.comgreptime.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.postgresql.fastware.com/­product-manualsdocs.greptime.com
DeveloperCambridge SemanticsPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGreptime Inc.
Initial release20182022
Current release2.3, January 2021Fujitsu Enterprise Postgres 14, January 2022
License infoCommercial or Open Sourcecommercial infofree trial version 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 languageCRust
Server operating systemsLinuxLinux
Windows
Android
Docker
FreeBSD
Linux
macOS
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyesschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesnoyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yesyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
HTTP API
JDBC
Supported programming languagesC++
Java
Python
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Erlang
Go
Java
JavaScript
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsPython
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingpartitioning by range, list and by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed 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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardSimple rights management via user accounts
More information provided by the system vendor
AnzoGraph DBFujitsu 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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
AnzoGraph DBFujitsu Enterprise PostgresGreptimeDB
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