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DBMS > CockroachDB vs. FatDB vs. Ingres vs. SpaceTime vs. Spark SQL

System Properties Comparison CockroachDB vs. FatDB vs. Ingres vs. SpaceTime vs. Spark SQL

Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonFatDB  Xexclude from comparisonIngres  Xexclude from comparisonSpaceTime  Xexclude from comparisonSpark SQL  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
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.A .NET NoSQL DBMS that can integrate with and extend SQL Server.Well established RDBMSSpaceTime is a spatio-temporal DBMS with a focus on performance.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSSpatial DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.cockroachlabs.comwww.actian.com/­databases/­ingreswww.mireo.com/­spacetimespark.apache.org/­sql
Technical documentationwww.cockroachlabs.com/­docsdocs.actian.com/­ingresspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperCockroach LabsFatCloudActian CorporationMireoApache Software Foundation
Initial release201520121974 infooriginally developed at University Berkely in early 1970s20202014
Current release23.1.1, May 202311.2, May 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availablecommercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC#CC++Scala
Server operating systemsLinux
macOS
Windows
WindowsAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
LinuxLinux
OS X
Windows
Data schemedynamic schemaschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nono infobut tools for importing/exporting data from/to XML-files availablenono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLyes, wire compatible with PostgreSQLno infoVia inetgration in SQL ServeryesA subset of ANSI SQL is implementedSQL-like DML and DDL statements
APIs and other access methodsJDBC.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
RESTful HTTP APIJDBC
ODBC
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C#C#
C++
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infovia applicationsyesnono
Triggersnoyes infovia applicationsyesnono
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 RAFTShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyFixed-grid hypercubesyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTselectable replication factorIngres ReplicatorReal-time block device replication (DRBD)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlRole-based access controlno infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standardyesno

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More resources
CockroachDBFatDBIngresSpaceTimeSpark SQL
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