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DBMS > Apache Kylin vs. Dolt vs. Hypertable vs. RavenDB

System Properties Comparison Apache Kylin vs. Dolt vs. Hypertable vs. RavenDB

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonDolt  Xexclude from comparisonHypertable  Xexclude from comparisonRavenDB  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 stackA MySQL compatible DBMS with Git-like versioning of data and schemaAn open source BigTable implementation based on distributed file systems such as HadoopOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSRelational DBMSWide column storeDocument store
Secondary database modelsDocument storeGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.14
Rank#171  Overall
#77  Relational DBMS
Score0.93
Rank#194  Overall
#90  Relational DBMS
Score2.68
Rank#102  Overall
#19  Document stores
Websitekylin.apache.orggithub.com/­dolthub/­dolt
www.dolthub.com
ravendb.net
Technical documentationkylin.apache.org/­docsdocs.dolthub.comravendb.net/­docs
DeveloperApache Software Foundation, originally contributed from eBay IncDoltHub IncHypertable Inc.Hibernating Rhinos
Initial release2015201820092010
Current release3.1.0, July 20200.9.8.11, March 20165.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoGNU version 3. Commercial license availableOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC++C#
Server operating systemsLinuxLinux
macOS
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Raspberry Pi
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnono
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
Secondary indexesyesyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)yesnoSQL-like query language (RQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
CLI Client
HTTP REST
C++ API
Thrift
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++
Java
Perl
PHP
Python
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infocurrently in alpha releasenoyes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.selectable replication factor on file system levelMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.no
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupnoAuthorization levels configured per client per database

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More resources
Apache KylinDoltHypertableRavenDB
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