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DBMS > Oracle Berkeley DB vs. Rockset vs. Spark SQL vs. TerarkDB

System Properties Comparison Oracle Berkeley DB vs. Rockset vs. Spark SQL vs. TerarkDB

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Editorial information provided by DB-Engines
NameOracle Berkeley DB  Xexclude from comparisonRockset  Xexclude from comparisonSpark SQL  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionWidely used in-process key-value storeA scalable, reliable search and analytics service in the cloud, built on RocksDBSpark SQL is a component on top of 'Spark Core' for structured data processingA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document storeRelational DBMSKey-value store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.52
Rank#114  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.84
Rank#209  Overall
#35  Document stores
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score0.04
Rank#377  Overall
#58  Key-value stores
Websitewww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlrockset.comspark.apache.org/­sqlgithub.com/­bytedance/­terarkdb
Technical documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.rockset.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperOracle infooriginally developed by Sleepycat, which was acquired by OracleRocksetApache Software FoundationByteDance, originally Terark
Initial release1994201920142016
Current release18.1.40, May 20203.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infocommercial license availablecommercialOpen Source infoApache 2.0commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, C++ (depending on the Berkeley DB edition)C++ScalaC++
Server operating systemsAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
hostedLinux
OS X
Windows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenodynamic typingyesno
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 editionno infoingestion from XML files supportednono
Secondary indexesyesall fields are automatically indexednono
SQL infoSupport of SQLyes infoSQL interfaced based on SQLite is availableRead-only SQL queries, including JOINsSQL-like DML and DDL statementsno
APIs and other access methodsHTTP RESTJDBC
ODBC
C++ API
Java API
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
Go
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
C++
Java
Server-side scripts infoStored proceduresnononono
Triggersyes infoonly for the SQL APInonono
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlnoAccess rights for users and organizations can be defined via Rockset consolenono

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More resources
Oracle Berkeley DBRocksetSpark SQLTerarkDB
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