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DBMS > Apache Kylin vs. Databricks vs. etcd vs. Hypertable vs. OrientDB

System Properties Comparison Apache Kylin vs. Databricks vs. etcd vs. Hypertable vs. OrientDB

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonDatabricks  Xexclude from comparisonetcd  Xexclude from comparisonHypertable  Xexclude from comparisonOrientDB  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.A distributed reliable key-value storeAn open source BigTable implementation based on distributed file systems such as HadoopMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelRelational DBMSDocument store
Relational DBMS
Key-value storeWide column storeDocument store
Graph DBMS
Key-value 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
Score7.25
Rank#54  Overall
#5  Key-value stores
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Websitekylin.apache.orgwww.databricks.cometcd.io
github.com/­etcd-io/­etcd
orientdb.org
Technical documentationkylin.apache.org/­docsdocs.databricks.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.orientdb.com/­docs/­last/­index.html
DeveloperApache Software Foundation, originally contributed from eBay IncDatabricksHypertable Inc.OrientDB LTD; CallidusCloud; SAP
Initial release2015201320092010
Current release3.1.0, July 20203.4, August 20190.9.8.11, March 20163.2.29, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0Open Source infoGNU version 3. Commercial license availableOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC++Java
Server operating systemsLinuxhostedFreeBSD
Linux
Windows infoexperimental
Linux
OS X
Windows infoan inofficial Windows port is available
All OS with a Java JDK (>= JDK 6)
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or dateyesnonoyes
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 indexesyesyesnorestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)with Databricks SQLnonoSQL-like query language, no joins
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
gRPC
JSON over HTTP
C++ API
Thrift
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesPython
R
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C++
Java
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesnonoJava, Javascript
Triggersyes, watching key changesnoHooks
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.selectable replication factor on file system levelMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
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.nonono
User concepts infoAccess controlnonoAccess rights for users and roles; record level security configurable
More information provided by the system vendor
Apache KylinDatabricksetcdHypertableOrientDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Apache KylinDatabricksetcdHypertableOrientDB
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