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DBMS > Oracle Berkeley DB vs. Snowflake vs. YottaDB

System Properties Comparison Oracle Berkeley DB vs. Snowflake vs. YottaDB

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Editorial information provided by DB-Engines
NameOracle Berkeley DB  Xexclude from comparisonSnowflake  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionWidely used in-process key-value storeCloud-based data warehousing service for structured and semi-structured dataA fast and solid embedded Key-value store
Primary database modelKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMSKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitewww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.snowflake.comyottadb.com
Technical documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.snowflake.net/­manuals/­index.htmlyottadb.com/­resources/­documentation
DeveloperOracle infooriginally developed by Sleepycat, which was acquired by OracleSnowflake Computing Inc.YottaDB, LLC
Initial release199420142001
Current release18.1.40, May 2020
License infoCommercial or Open SourceOpen Source infocommercial license availablecommercialOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, C++ (depending on the Berkeley DB edition)C
Server operating systemsAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
hostedDocker
Linux
Data schemeschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)schema-free
Typing infopredefined data types such as float or datenoyesno
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 editionyesno
Secondary indexesyesno
SQL infoSupport of SQLyes infoSQL interfaced based on SQLite is availableyesby using the Octo plugin
APIs and other access methodsCLI Client
JDBC
ODBC
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
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
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
JavaScript (Node.js)
Python
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnouser defined functions
Triggersyes infoonly for the SQL APIno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
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 dataACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes
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.yesnoyes
User concepts infoAccess controlnoUsers with fine-grained authorization concept, user roles and pluggable authenticationUsers and groups based on OS-security mechanisms

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More resources
Oracle Berkeley DBSnowflakeYottaDB
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