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DBMS > AnzoGraph DB vs. Fujitsu Enterprise Postgres vs. GridDB vs. QuestDB vs. STSdb

System Properties Comparison AnzoGraph DB vs. Fujitsu Enterprise Postgres vs. GridDB vs. QuestDB vs. STSdb

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonGridDB  Xexclude from comparisonQuestDB  Xexclude from comparisonSTSdb  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.Scalable in-memory time series database optimized for IoT and Big DataA high performance open source SQL database for time series dataKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelGraph DBMS
RDF store
Relational DBMSTime Series DBMSTime Series DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
Key-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitecambridgesemantics.com/­anzographwww.postgresql.fastware.comgriddb.netquestdb.iogithub.com/­STSSoft/­STSdb4
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.postgresql.fastware.com/­product-manualsdocs.griddb.netquestdb.io/­docs
DeveloperCambridge SemanticsPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyToshiba CorporationQuestDB Technology IncSTS Soft SC
Initial release2018201320142011
Current release2.3, January 2021Fujitsu Enterprise Postgres 14, January 20225.1, August 20224.0.8, September 2015
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache 2.0Open Source infoGPLv2, commercial license available
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 languageCC++Java (Zero-GC), C++, RustC#
Server operating systemsLinuxLinux
Windows
LinuxLinux
macOS
Windows
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyesyesyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyesyes infoprimitive types and user defined types (classes)
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.nonono
Secondary indexesnoyesyesnono
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yesSQL92, SQL-like TQL (Toshiba Query Language)SQL with time-series extensionsno
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
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
.NET Client API
Supported programming languagesC++
Java
Python
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C#
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsnonono
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingpartitioning by range, list and by hashShardinghorizontal partitioning (by timestamps)none
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterSource-replica replicationSource-replica replicationSource-replica replication with eventual consistencynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID at container levelACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
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.yesyesyes infothrough memory mapped files
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardAccess rights for users can be defined per databaseno
More information provided by the system vendor
AnzoGraph DBFujitsu Enterprise PostgresGridDBQuestDBSTSdb
Specific characteristics100% compatible with community PostgreSQL
» more
GridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Relational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Factory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Financial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
GitHub trending repository
» more
Licensing and pricing modelsCore based licensing
» more
Open Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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