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DBMS > Brytlyt vs. Fujitsu Enterprise Postgres vs. Hive vs. InfluxDB

System Properties Comparison Brytlyt vs. Fujitsu Enterprise Postgres vs. Hive vs. InfluxDB

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonHive  Xexclude from comparisonInfluxDB  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.data warehouse software for querying and managing large distributed datasets, built on HadoopDBMS for storing time series, events and metrics
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Websitebrytlyt.iowww.postgresql.fastware.comhive.apache.orgwww.influxdata.com/­products/­influxdb-overview
Technical documentationdocs.brytlyt.iowww.postgresql.fastware.com/­product-manualscwiki.apache.org/­confluence/­display/­Hive/­Homedocs.influxdata.com/­influxdb
DeveloperBrytlytPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyApache Software Foundation infoinitially developed by Facebook
Initial release201620122013
Current release5.0, August 2023Fujitsu Enterprise Postgres 14, January 20223.1.3, April 20222.7.6, April 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2Open Source infoMIT-License; commercial enterprise version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDACJavaGo
Server operating systemsLinux
OS X
Windows
Linux
Windows
All OS with a Java VMLinux
OS X infothrough Homebrew
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesNumeric data and Strings
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 indexesyesyesyesno
SQL infoSupport of SQLyesyesSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Thrift
HTTP API
JSON over UDP
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
PHP
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLuser defined functionsyes infouser defined functions and integration of map-reduceno
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashShardingSharding infoin enterprise version only
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationselectable replication factorselectable replication factor infoin enterprise version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engine
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users, groups and rolessimple rights management via user accounts
More information provided by the system vendor
BrytlytFujitsu Enterprise PostgresHiveInfluxDB
Specific characteristics100% compatible with community PostgreSQL
» more
InfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Time to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
IoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Fastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsCore based licensing
» more
Open source core with closed source clustering available either on-premise or on...
» more
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