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DBMS > Apache Kylin vs. BigchainDB vs. Ehcache vs. Ingres vs. PostgreSQL

System Properties Comparison Apache Kylin vs. BigchainDB vs. Ehcache vs. Ingres vs. PostgreSQL

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonBigchainDB  Xexclude from comparisonEhcache  Xexclude from comparisonIngres  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA widely adopted Java cache with tiered storage optionsWell established RDBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelRelational DBMSDocument storeKey-value storeRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score0.79
Rank#212  Overall
#36  Document stores
Score4.89
Rank#67  Overall
#8  Key-value stores
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Websitekylin.apache.orgwww.bigchaindb.comwww.ehcache.orgwww.actian.com/­databases/­ingreswww.postgresql.org
Technical documentationkylin.apache.org/­docsbigchaindb.readthedocs.io/­en/­latestwww.ehcache.org/­documentationdocs.actian.com/­ingreswww.postgresql.org/­docs
DeveloperApache Software Foundation, originally contributed from eBay IncTerracotta Inc, owned by Software AGActian CorporationPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release2015201620091974 infooriginally developed at University Berkely in early 1970s1989 info1989: Postgres, 1996: PostgreSQL
Current release3.1.0, July 20203.10.0, March 202211.2, May 202216.2, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL v3Open Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoBSD
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.
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Implementation languageJavaPythonJavaCC
Server operating systemsLinuxLinuxAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nononono infobut tools for importing/exporting data from/to XML-files availableyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesnoyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)nonoyesyes infostandard with numerous extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
CLI Client
RESTful HTTP API
JCache.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Java.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyes infoCache Event Listenersyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoby using Terracotta Serverhorizontal partitioning infoIngres Star to access multiple databases simultaneouslypartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoby using Terracotta ServerIngres ReplicatorSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlyesnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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Apache KylinBigchainDBEhcacheIngresPostgreSQL
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