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DBMS > Hive vs. MarkLogic vs. NuoDB vs. PostgreSQL vs. Redis

System Properties Comparison Hive vs. MarkLogic vs. NuoDB vs. PostgreSQL vs. Redis

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonMarkLogic  Xexclude from comparisonNuoDB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRedis  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopOperational and transactional Enterprise NoSQL databaseNuoDB is a webscale distributed database that supports SQL and ACID transactionsWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLPopular in-memory data platform used as a cache, message broker, and database that can be deployed on-premises, across clouds, and hybrid environments infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.
Primary database modelRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Key-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Document store infowith RedisJSON
Graph DBMS infowith RedisGraph
Spatial DBMS
Search engine infowith RediSearch
Time Series DBMS infowith RedisTimeSeries
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score0.89
Rank#198  Overall
#92  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score157.80
Rank#6  Overall
#1  Key-value stores
Websitehive.apache.orgwww.marklogic.comwww.3ds.com/­nuodb-distributed-sql-databasewww.postgresql.orgredis.com
redis.io
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.marklogic.comdoc.nuodb.comwww.postgresql.org/­docsdocs.redis.com/­latest/­index.html
redis.io/­docs
DeveloperApache Software Foundation infoinitially developed by FacebookMarkLogic Corp.Dassault Systèmes infooriginally NuoDB, Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developerRedis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.
Initial release2012200120131989 info1989: Postgres, 1996: PostgreSQL2009
Current release3.1.3, April 202211.0, December 202216.3, May 20247.2.5, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial inforestricted free version is availablecommercial infolimited edition freeOpen Source infoBSDOpen Source infosource-available extensions (modules), commercial licenses for Redis Enterprise
Cloud-based only infoOnly available as a cloud servicenonononono
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Implementation languageJavaC++C++CC
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
BSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Data schemeyesschema-free infoSchema can be enforcedyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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.yesnoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyesyesyes infowith RediSearch module
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infoSQL92yesyes infostandard with numerous extensionswith RediSQL module
APIs and other access methodsJDBC
ODBC
Thrift
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
proprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languagesC++
Java
PHP
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infovia XQuery or JavaScriptJava, SQLuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Lua; Redis Functions coming in Redis 7 (slides and Github)
Triggersnoyesyesyespublish/subscribe channels provide some trigger functionality; RedisGears
Partitioning methods infoMethods for storing different data on different nodesShardingShardingdata is dynamically stored/cached on the nodes where it is read/writtenpartitioning by range, list and (since PostgreSQL 11) by hashSharding infoAutomatic hash-based sharding with support for hash-tags for manual sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyes infoManaged transparently by NuoDBSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnonothrough RedisGears
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infocan act as a resource manager in an XA/JTA transactionACID infotunable commit protocolACIDAtomic execution of command blocks and scripts and optimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, with Range Indexesyes infoTemporary tablenoyes
User concepts infoAccess controlAccess rights for users, groups and rolesRole-based access control at the document and subdocument levelsStandard SQL roles/ privileges, Administrative Usersfine grained access rights according to SQL-standardAccess Control Lists (ACLs): redis.io/­docs/­management/­security/­acl
LDAP and Role-Based Access Control (RBAC) for Redis Enterprise
Mutual TLS authentication: redis.io/­docs/­management/­security/­encryption
Password-based authentication

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