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DBMS > Apache Spark (SQL) vs. CockroachDB vs. OpenQM

System Properties Comparison Apache Spark (SQL) vs. CockroachDB vs. OpenQM

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Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonCockroachDB  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparison
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingCockroachDB 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 DBMS
Primary database modelRelational DBMSRelational DBMSMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.40
Rank#29  Overall
#18  Relational DBMS
Score4.17
Rank#65  Overall
#36  Relational DBMS
Score0.25
Rank#293  Overall
#10  Multivalue DBMS
Websitespark.apache.org/­sqlwww.cockroachlabs.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.cockroachlabs.com/­docs
DeveloperApache Software FoundationCockroach LabsRocket Software, originally Martin Phillips
Initial release201420151993
Current release3.5.0 ( 2.13), September 202324.1.0, May 20243.4-12
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0, commercial license availableOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaGo
Server operating systemsLinux
OS X
Windows
Linux
macOS
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeyesdynamic schemayes infowith some exceptions
Typing infopredefined data types such as float or dateyesyes
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
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes, wire compatible with PostgreSQLno
APIs and other access methodsJDBC
ODBC
JDBC
Supported programming languagesJava
Python
R
Scala
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresnonoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Corehorizontal 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 RAFTyes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication using RAFTyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nono
User concepts infoAccess controlnoRole-based access controlAccess rights can be defined down to the item level

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More resources
Apache Spark (SQL)CockroachDBOpenQM infoalso called QM
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