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DBMS > Apache Kylin vs. Databricks vs. Hypertable vs. OrientDB vs. Percona Server for MongoDB

System Properties Comparison Apache Kylin vs. Databricks vs. Hypertable vs. OrientDB vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonDatabricks  Xexclude from comparisonHypertable  Xexclude from comparisonOrientDB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 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 stackThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.An open source BigTable implementation based on distributed file systems such as HadoopMulti-model DBMS (Document, Graph, Key/Value)A drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelRelational DBMSDocument store
Relational DBMS
Wide column storeDocument store
Graph DBMS
Key-value store
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score0.52
Rank#254  Overall
#39  Document stores
Websitekylin.apache.orgwww.databricks.comorientdb.orgwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationkylin.apache.org/­docsdocs.databricks.comwww.orientdb.com/­docs/­last/­index.htmldocs.percona.com/­percona-distribution-for-mongodb
DeveloperApache Software Foundation, originally contributed from eBay IncDatabricksHypertable Inc.OrientDB LTD; CallidusCloud; SAPPercona
Initial release20152013200920102015
Current release3.1.0, July 20200.9.8.11, March 20163.2.29, March 20243.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache version 2Open Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++JavaC++
Server operating systemsLinuxhostedLinux
OS X
Windows infoan inofficial Windows port is available
All OS with a Java JDK (>= JDK 6)Linux
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")schema-free
Typing infopredefined data types such as float or dateyesnoyesyes
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.noyesnono
Secondary indexesyesyesrestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)with Databricks SQLnoSQL-like query language, no joinsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
C++ API
Thrift
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
proprietary protocol using JSON
Supported programming languagesPython
R
Scala
C++
Java
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoJava, JavascriptJavaScript
TriggersnoHooksno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor on file system levelMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno infocould be achieved with distributed queriesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nonoyes infovia In-Memory Engine
User concepts infoAccess controlnoAccess rights for users and roles; record level security configurableAccess rights for users and roles
More information provided by the system vendor
Apache KylinDatabricksHypertableOrientDBPercona Server for MongoDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Apache KylinDatabricksHypertableOrientDBPercona Server for MongoDB
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