DB-EnginesCrateDB bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Oracle Berkeley DB vs. Vertica

System Properties Comparison Oracle Berkeley DB vs. Vertica

Please select another system to include it in the comparison.

Our visitors often compare Oracle Berkeley DB and Vertica with MongoDB, MySQL and Redis.

Editorial information provided by DB-Engines
NameOracle Berkeley DB  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionWidely used in-process key-value storeColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.71
Rank#91  Overall
#15  Key-value stores
#3  Native XML DBMS
Score22.51
Rank#29  Overall
#17  Relational DBMS
Websitewww.oracle.com/­technetwork/­database/­database-technologies/­berkeleydb/­overview/­index.htmlwww.vertica.com
Technical documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.vertica.com/­documentation/­vertica
DeveloperOracle infooriginally developed by Sleepycat, which was acquired by OracleVertica / Micro Focus infoprior to that Hewlett Packard
Initial release19942005
Current release18.1 (Core), June 2018Vertica Analytics Platform 9.2.x, March 2019
License infoCommercial or Open SourceOpen Source infocommercial license availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenono infoavailable on Amazon AWS and Microsoft Azure
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Data schemeschema-freeyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or datenoyes
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.yes infoonly with the Berkeley DB XML editionyes
Secondary indexesyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLyes infoSQL interfaced based on SQLite is availableyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsKafka
Proprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languages.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
Perl
Python
Tcl
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresnoyes
Triggersyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-master replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlnofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Oracle Berkeley DBVertica infoVertica Analytics Platform
Specific characteristicsColumnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesPerformance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are available
» 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

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

More resources
Oracle Berkeley DBVertica infoVertica Analytics Platform
Recent citations in the news

Getting Started with Oracle Berkeley DB
5 July 2015, DZone News

Oracle switches Berkeley DB license
5 July 2013, InfoWorld

Database Trends Report: SQL Beats NoSQL, MySQL Most Popular
5 March 2019, ADT Magazine

Under the Hood: Oracle Berkeley DB XML
7 May 2008, XML.com

Oracle's First Dozen Cloud Blockchain Applications Are Now Live
12 February 2019, CoinDesk

provided by Google News

Micro Focus Announces Vertica in Eon Mode for Pure Storage
17 September 2019, Yahoo Finance

How ML Helps Solve the Big Data Transform/Mastering Problem
10 October 2019, Datanami

Diamanti Appoints Andrew Wild as Chief Revenue Officer
18 September 2019, Yahoo Finance

Hewlett Packard Enterprise Company (HPE)'s Financial Results Comparing With CommScope Holding Company Inc. (NASDAQ:COMM)
13 October 2019, MЕSА Wееkly

You Can't Do Machine Learning Inside a Database. Can You?
1 April 2019, Datanami

provided by Google News

Job opportunities

Senior Systems Engineer
DeNovo Solutions, Annapolis Junction, MD

Database Engineer, Senior
Independent Software, Annapolis Junction, MD

Full-Stack Java Server Side Developer/Single Page Application User Interface (SPA UI) Developer
Alaka`ina Foundation Family of Companies, Remote

Senior Developer
Spectrum Systems, Riverwoods, IL

Senior Data Analyst
MassMutual, Boston, MA

Database Migration Consultant
Amazon Web Services, Inc., Memphis, TN

Data Analyst
Bank of America, Charlotte, NC

Database Migration Consultant
Amazon Web Services, Inc., Houston, TX

DB Migration Consultant
Amazon Web Services, Inc., Houston, TX

jobs by Indeed




Share this page

Featured Products

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Redis logo

Hosted, serverless DBaaS
in 3 steps.

30MB Free!
Start now.

Present your product here