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DBMS > Hive vs. Ingres vs. RavenDB vs. Tkrzw

System Properties Comparison Hive vs. Ingres vs. RavenDB vs. Tkrzw

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonIngres  Xexclude from comparisonRavenDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopWell established RDBMSOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSRelational DBMSDocument storeKey-value store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitehive.apache.orgwww.actian.com/­databases/­ingresravendb.netdbmx.net/­tkrzw
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.actian.com/­ingresravendb.net/­docs
DeveloperApache Software Foundation infoinitially developed by FacebookActian CorporationHibernating RhinosMikio Hirabayashi
Initial release20121974 infooriginally developed at University Berkely in early 1970s20102020
Current release3.1.3, April 202211.2, May 20225.4, July 20220.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoAGPL version 3, commercial license availableOpen Source infoApache 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 languageJavaCC#C++
Server operating systemsAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
macOS
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.no infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query language (RQL)no
APIs and other access methodsJDBC
ODBC
Thrift
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
.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 languagesC++
Java
PHP
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesyesno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorIngres ReplicatorMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual 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.Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyes
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.noyes infousing specific database classes
User concepts infoAccess controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standardAuthorization levels configured per client per databaseno

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More resources
HiveIngresRavenDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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