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DBMS > CockroachDB vs. LevelDB vs. Oracle Berkeley DB vs. TimesTen

System Properties Comparison CockroachDB vs. LevelDB vs. Oracle Berkeley DB vs. TimesTen

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Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonLevelDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesWidely used in-process key-value storeAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelRelational DBMSKey-value storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.74
Rank#67  Overall
#36  Relational DBMS
Score2.33
Rank#111  Overall
#19  Key-value stores
Score1.88
Rank#130  Overall
#23  Key-value stores
#3  Native XML DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitewww.cockroachlabs.comgithub.com/­google/­leveldbwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationwww.cockroachlabs.com/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperCockroach LabsGoogleOracle infooriginally developed by Sleepycat, which was acquired by OracleOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2015201119941998
Current release24.1.0, May 20241.23, February 202118.1.40, May 2020Release 22.1
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availableOpen Source infoBSDOpen Source infocommercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++C, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinux
macOS
Windows
Illumos
Linux
OS X
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemedynamic schemaschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnonoyes
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.nonoyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes, wire compatible with PostgreSQLnoyes infoSQL interfaced based on SQLite is availableyes
APIs and other access methodsJDBCODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.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
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresnononoPL/SQL
Triggersnonoyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTnoneSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlRole-based access controlnonofine grained access rights according to SQL-standard

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CockroachDBLevelDBOracle Berkeley DBTimesTen
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