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DBMS > Hive vs. RavenDB vs. TimescaleDB vs. YTsaurus

System Properties Comparison Hive vs. RavenDB vs. TimescaleDB vs. YTsaurus

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonRavenDB  Xexclude from comparisonTimescaleDB  Xexclude from comparisonYTsaurus  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLYTsaurus is an open source platform for distributed storage and processing.
Primary database modelRelational DBMSDocument storeTime Series DBMSDocument store
Key-value store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Score0.21
Rank#324  Overall
#45  Document stores
#48  Key-value stores
Websitehive.apache.orgravendb.netwww.timescale.comytsaurus.tech
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeravendb.net/­docsdocs.timescale.comytsaurus.tech/­docs/­en
DeveloperApache Software Foundation infoinitially developed by FacebookHibernating RhinosTimescaleYandex
Initial release2012201020172023
Current release3.1.3, April 20225.4, July 20222.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoAGPL version 3, commercial license availableOpen Source infoApache 2.0Open Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#CC++
Server operating systemsAll OS with a Java VMLinux
macOS
Raspberry Pi
Windows
Linux
OS X
Windows
Ubuntu
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnonumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes
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.yesno
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language (RQL)yes infofull PostgreSQL SQL syntaxYQL, an SQL-based language, is supported
APIs and other access methodsJDBC
ODBC
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
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC++
Java
PHP
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, across time and space (hash partitioning) attributesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replicationSource-replica replication with hot standby and reads on replicas infoyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual 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.Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID, Cluster-wide transaction availableACIDACID
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 controlAccess rights for users, groups and rolesAuthorization levels configured per client per databasefine grained access rights according to SQL-standardAccess Control Lists

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HiveRavenDBTimescaleDBYTsaurus
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