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DBMS > Brytlyt vs. EJDB vs. Fujitsu Enterprise Postgres vs. GreptimeDB

System Properties Comparison Brytlyt vs. EJDB vs. Fujitsu Enterprise Postgres vs. GreptimeDB

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonEJDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonGreptimeDB  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLEmbeddable document-store database library with JSON representation of queries (in MongoDB style)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 modelRelational DBMSDocument storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score0.31
Rank#296  Overall
#44  Document stores
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Websitebrytlyt.iogithub.com/­Softmotions/­ejdbwww.postgresql.fastware.comgreptime.com
Technical documentationdocs.brytlyt.iogithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.postgresql.fastware.com/­product-manualsdocs.greptime.com
DeveloperBrytlytSoftmotionsPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGreptime Inc.
Initial release201620122022
Current release5.0, August 2023Fujitsu Enterprise Postgres 14, January 2022
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDACCRust
Server operating systemsLinux
OS X
Windows
server-lessLinux
Windows
Android
Docker
FreeBSD
Linux
macOS
Windows
Data schemeyesschema-freeyesschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesyes
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.yes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnoyesyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
in-process shared libraryADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
HTTP API
JDBC
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Erlang
Go
Java
JavaScript
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnouser defined functionsPython
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonepartitioning by range, list and by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infotypically not needed, however similar functionality with collection joins possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardSimple rights management via user accounts
More information provided by the system vendor
BrytlytEJDBFujitsu Enterprise PostgresGreptimeDB
Specific characteristics100% compatible with community PostgreSQL
» more
GreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
For 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 metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
GreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsCore based licensing
» more
GreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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BrytlytEJDBFujitsu Enterprise PostgresGreptimeDB
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