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DBMS > Apache Kylin vs. DuckDB vs. Fujitsu Enterprise Postgres vs. Hypertable vs. Yaacomo

System Properties Comparison Apache Kylin vs. DuckDB vs. Fujitsu Enterprise Postgres vs. Hypertable vs. Yaacomo

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonDuckDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonHypertable  Xexclude from comparisonYaacomo  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackAn embeddable, in-process, column-oriented SQL OLAP RDBMSEnterprise-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 BigTable implementation based on distributed file systems such as HadoopOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSRelational DBMSRelational DBMSWide column storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score0.37
Rank#278  Overall
#128  Relational DBMS
Websitekylin.apache.orgduckdb.orgwww.postgresql.fastware.comyaacomo.com
Technical documentationkylin.apache.org/­docsduckdb.org/­docswww.postgresql.fastware.com/­product-manuals
DeveloperApache Software Foundation, originally contributed from eBay IncPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyHypertable Inc.Q2WEB GmbH
Initial release2015201820092009
Current release3.1.0, July 20200.10, February 2024Fujitsu Enterprise Postgres 14, January 20220.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT LicensecommercialOpen Source infoGNU version 3. Commercial license availablecommercial
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 languageJavaC++CC++
Server operating systemsLinuxserver-lessLinux
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Android
Linux
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 indexesyesyesyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)yesyesnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
C++ API
Thrift
JDBC
ODBC
Supported programming languagesC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonepartitioning by range, list and by hashShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationselectable replication factor on file system levelSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)yesyes
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.noyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard
More information provided by the system vendor
Apache KylinDuckDBFujitsu Enterprise PostgresHypertableYaacomo
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 KylinDuckDBFujitsu Enterprise PostgresHypertableYaacomo
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