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DBMS > Hive vs. RavenDB vs. Sqrrl vs. Ultipa

System Properties Comparison Hive vs. RavenDB vs. Sqrrl vs. Ultipa

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonRavenDB  Xexclude from comparisonSqrrl  Xexclude from comparisonUltipa  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseAdaptable, secure NoSQL built on Apache AccumuloHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelRelational DBMSDocument storeDocument store
Graph DBMS
Key-value store
Wide column store
Graph DBMS
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
Score2.92
Rank#101  Overall
#18  Document stores
Score0.13
Rank#335  Overall
#31  Graph DBMS
Websitehive.apache.orgravendb.netsqrrl.comwww.ultipa.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeravendb.net/­docswww.ultipa.com/­document
DeveloperApache Software Foundation infoinitially developed by FacebookHibernating RhinosAmazon infooriginally Sqrrl Data, Inc.Ultipa
Initial release2012201020122019
Current release3.1.3, April 20225.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoAGPL version 3, commercial license availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC#Java
Server operating systemsAll OS with a Java VMLinux
macOS
Raspberry Pi
Windows
Linux
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language (RQL)no
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
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
RESTful HTTP API
Supported programming languagesC++
Java
PHP
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replicationselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesyes
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 infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID, Cluster-wide transaction availableAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
User concepts infoAccess controlAccess rights for users, groups and rolesAuthorization levels configured per client per databaseCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
HiveRavenDBSqrrlUltipa
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