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DBMS > Fujitsu Enterprise Postgres vs. GreptimeDB vs. KeyDB

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

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Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonGreptimeDB  Xexclude from comparisonKeyDB  Xexclude from comparison
DescriptionEnterprise-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 efficiencyAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocols
Primary database modelRelational DBMSTime Series DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score0.70
Rank#229  Overall
#32  Key-value stores
Websitewww.postgresql.fastware.comgreptime.comgithub.com/­Snapchat/­KeyDB
keydb.dev
Technical documentationwww.postgresql.fastware.com/­product-manualsdocs.greptime.comdocs.keydb.dev
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGreptime Inc.EQ Alpha Technology Ltd.
Initial release20222019
Current releaseFujitsu Enterprise Postgres 14, January 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoBSD-3
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCRustC++
Server operating systemsLinux
Windows
Android
Docker
FreeBSD
Linux
macOS
Windows
Linux
Data schemeyesschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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 indexesyesyesyes infoby using the Redis Search module
SQL infoSupport of SQLyesyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
HTTP API
JDBC
Proprietary protocol infoRESP - REdis Serialization Protoco
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Erlang
Go
Java
JavaScript
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Server-side scripts infoStored proceduresuser defined functionsPythonLua
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardSimple rights management via user accountssimple password-based access control and ACL
More information provided by the system vendor
Fujitsu Enterprise PostgresGreptimeDBKeyDB
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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Fujitsu Enterprise PostgresGreptimeDBKeyDB
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