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DBMS > CockroachDB vs. OpenQM vs. Oracle Berkeley DB vs. Splice Machine

System Properties Comparison CockroachDB vs. OpenQM vs. Oracle Berkeley DB vs. Splice Machine

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Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSplice Machine  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.QpenQM is a high-performance, self-tuning, multi-value DBMSWidely used in-process key-value storeOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSMultivalue DBMSKey-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
Score0.28
Rank#291  Overall
#10  Multivalue DBMS
Score1.88
Rank#130  Overall
#23  Key-value stores
#3  Native XML DBMS
Score0.54
Rank#244  Overall
#114  Relational DBMS
Websitewww.cockroachlabs.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlsplicemachine.com
Technical documentationwww.cockroachlabs.com/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlsplicemachine.com/­how-it-works
DeveloperCockroach LabsRocket Software, originally Martin PhillipsOracle infooriginally developed by Sleepycat, which was acquired by OracleSplice Machine
Initial release2015199319942014
Current release24.1.0, May 20243.4-1218.1.40, May 20203.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availableOpen Source infoGPLv2, extended commercial license availableOpen Source infocommercial license availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC, Java, C++ (depending on the Berkeley DB edition)Java
Server operating systemsLinux
macOS
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
OS X
Solaris
Windows
Data schemedynamic schemayes infowith some exceptionsschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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.noyesyes infoonly with the Berkeley DB XML edition
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes, wire compatible with PostgreSQLnoyes infoSQL interfaced based on SQLite is availableyes
APIs and other access methodsJDBCJDBC
Native Spark Datasource
ODBC
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
.Net
Basic
C
Java
Objective C
PHP
Python
.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
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyesnoyes infoJava
Triggersnoyesyes infoonly for the SQL APIyes
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 RAFTyesnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTyesSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
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.noyesyes
User concepts infoAccess controlRole-based access controlAccess rights can be defined down to the item levelnoAccess rights for users, groups and roles according to SQL-standard

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More resources
CockroachDBOpenQM infoalso called QMOracle Berkeley DBSplice Machine
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