DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > eXtremeDB vs. Hive vs. Oracle

System Properties Comparison eXtremeDB vs. Hive vs. Oracle

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonHive  Xexclude from comparisonOracle  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringdata warehouse software for querying and managing large distributed datasets, built on HadoopWidely used RDBMS
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.73
Rank#227  Overall
#104  Relational DBMS
#18  Time Series DBMS
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score1234.27
Rank#1  Overall
#1  Relational DBMS
Websitewww.mcobject.comhive.apache.orgwww.oracle.com/­database
Technical documentationwww.mcobject.com/­docs/­extremedb.htmcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.oracle.com/­en/­database
DeveloperMcObjectApache Software Foundation infoinitially developed by FacebookOracle
Initial release200120121980
Current release8.2, 20213.1.3, April 202223c, September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++JavaC and C++
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
All OS with a Java VMAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Data schemeyesyesyes infoSchemaless in JSON and XML columns
Typing infopredefined data types such as float or dateyesyesyes
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 infosupport of XML interfaces availableyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infowith the option: eXtremeSQLSQL-like DML and DDL statementsyes infowith proprietary extensions
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
C++
Java
PHP
Python
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reducePL/SQL infoalso stored procedures in Java possible
Triggersyes infoby defining eventsnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
selectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceno infocan be realized in PL/SQL
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoisolation level can be parameterized
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'
User concepts infoAccess controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
eXtremeDBHiveOracle
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesNavicat for Oracle improves the efficiency and productivity of Oracle developers and administrators with a streamlined working environment.
» more

Devart ODBC driver for Oracle accesses Oracle databases from ODBC-compliant reporting, analytics, BI, and ETL tools on both 32 and 64-bit Windows, macOS, and Linux.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
eXtremeDBHiveOracle
DB-Engines blog posts

Why is Hadoop not listed in the DB-Engines Ranking?
13 May 2013, Paul Andlinger

show all

MySQL is the DBMS of the Year 2019
3 January 2020, Matthias Gelbmann, Paul Andlinger

The struggle for the hegemony in Oracle's database empire
2 May 2017, Paul Andlinger

Architecting eCommerce Platforms for Zero Downtime on Black Friday and Beyond
25 November 2016, Tony Branson (guest author)

show all

Conferences, events and webinars

Oracle Cloud World
Las Vegas, 9-12 September 2024

Recent citations in the news

McObject Announces the Release of eXtremeDB/rt 1.2
23 May 2023, Embedded Computing Design

McObject Announces Availability of eXtremeDB/rt for Green Hills Software's INTEGRITY RTOS
21 April 2022, GlobeNewswire

McObject Announces Availability of eXtremeDB/rt for Microsoft Azure RTOS ThreadX
15 November 2021, Automation.com

Latest embedded DBMS supports asymmetric multiprocessing systems
24 May 2023, Embedded

Beta tests for real time in-memory embedded database ...
4 May 2021, eeNews Europe

provided by Google News

Run Apache Hive workloads using Spark SQL with Amazon EMR on EKS | Amazon Web Services
18 October 2023, AWS Blog

Data Engineering in 2024: Predictions For Data Lakes and The Serving Layer
23 January 2024, Datanami

18 Top Big Data Tools and Technologies to Know About in 2024
24 January 2024, TechTarget

Top 80 Hadoop Interview Questions and Answers for 2024
15 February 2024, Simplilearn

What Is Apache Iceberg?
26 February 2024, ibm.com

provided by Google News

Major Global Businesses Adopt Oracle Database@Azure Worldwide
23 April 2024, Yahoo Finance

Blog Theme - Details
12 April 2024, blogs.oracle.com

Oracle and Microsoft bring Oracle Database@Azure to Europe
14 March 2024, blogs.oracle.com

Blog Theme - Details
17 April 2024, blogs.oracle.com

Transportable Binary XML – modern XML document storage in Oracle Database 23c
11 April 2024, blogs.oracle.com

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

SingleStore logo

Build AI apps with Vectors on SQL and JSON with milliseconds response times.
Try it today.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

Present your product here