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DBMS > Apache Kylin vs. Fujitsu Enterprise Postgres vs. Prometheus vs. RethinkDB

System Properties Comparison Apache Kylin vs. Fujitsu Enterprise Postgres vs. Prometheus vs. RethinkDB

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonPrometheus  Xexclude from comparisonRethinkDB  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Open-source Time Series DBMS and monitoring systemDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelRelational DBMSRelational DBMSTime Series DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Websitekylin.apache.orgwww.postgresql.fastware.comprometheus.iorethinkdb.com
Technical documentationkylin.apache.org/­docswww.postgresql.fastware.com/­product-manualsprometheus.io/­docsrethinkdb.com/­docs
DeveloperApache Software Foundation, originally contributed from eBay IncPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyThe Linux Foundation infosince July 2017
Initial release201520152009
Current release3.1.0, July 2020Fujitsu Enterprise Postgres 14, January 20222.4.1, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCGoC++
Server operating systemsLinuxLinux
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes infostring, binary, float, bool, date, geometry
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 infoImport of XML data possibleno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)yesnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresuser defined functionsno
TriggersyesnoClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashShardingSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoby FederationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes infoMVCC based
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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyes infousers and table-level permissions
More information provided by the system vendor
Apache KylinFujitsu Enterprise PostgresPrometheusRethinkDB
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
Apache KylinFujitsu Enterprise PostgresPrometheusRethinkDB
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