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DBMS > etcd vs. Oracle Berkeley DB vs. Trino

System Properties Comparison etcd vs. Oracle Berkeley DB vs. Trino

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionA distributed reliable key-value storeWidely used in-process key-value storeFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelKey-value storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMS
Secondary database modelsDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
www.oracle.com/­database/­technologies/­related/­berkeleydb.htmltrino.io
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.oracle.com/­cd/­E17076_05/­html/­index.htmltrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperOracle infooriginally developed by Sleepycat, which was acquired by OracleTrino Software Foundation
Initial release19942012 info2020 rebranded from PrestoSQL
Current release3.4, August 201918.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infocommercial license availableOpen Source infoApache Version 2.0
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.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageGoC, Java, C++ (depending on the Berkeley DB edition)Java
Server operating systemsFreeBSD
Linux
Windows infoexperimental
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
macOS infofor devlopment
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenonoyes
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.noyes infoonly with the Berkeley DB XML editionno
Secondary indexesnoyesdepending on connected data-source
SQL infoSupport of SQLnoyes infoSQL interfaced based on SQLite is availableyes
APIs and other access methodsgRPC
JSON over HTTP
JDBC
RESTful HTTP API
Trino CLI
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.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
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnonoyes, depending on connected data-source
Triggersyes, watching key changesyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesnonedepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Source-replica replicationdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnonoSQL standard access control
More information provided by the system vendor
etcdOracle Berkeley DBTrino
Specific characteristicsTrino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesHigh performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenariosPerformant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersTrino is widely adopted across the globe as freely-available open source software....
» more
Market metrics33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsTrino is an open source project and usage is therefore free. Commercial offerings...
» more
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More resources
etcdOracle Berkeley DBTrino
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