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DBMS > CockroachDB vs. EXASOL vs. Faircom EDGE vs. Spark SQL vs. STSdb

System Properties Comparison CockroachDB vs. EXASOL vs. Faircom EDGE vs. Spark SQL vs. STSdb

Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonEXASOL  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  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.High-performance, in-memory, MPP database specifically designed for in-memory analytics.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsSpark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Relational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitewww.cockroachlabs.comwww.exasol.comwww.faircom.com/­products/­faircom-edgespark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4
Technical documentationwww.cockroachlabs.com/­docswww.exasol.com/­resourcesdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperCockroach LabsExasolFairCom CorporationApache Software FoundationSTS Soft SC
Initial release20152000197920142011
Current release24.1.0, May 2024V3, October 20203.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availablecommercialcommercial infoRestricted, free version availableOpen Source infoApache 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoANSI C, C++ScalaC#
Server operating systemsLinux
macOS
Windows
Android
Linux infoARM, x86
Raspbian
Windows
Linux
OS X
Windows
Windows
Data schemedynamic schemayesFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesyesyes infoprimitive types and user defined types (classes)
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.nonoyesno
Secondary indexesyesyesyesnono
SQL infoSupport of SQLyes, wire compatible with PostgreSQLyesyes infoANSI SQL queriesSQL-like DML and DDL statementsno
APIs and other access methodsJDBC.Net
JDBC
ODBC
WebSocket
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
.NET Client API
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Java
Lua
Python
R
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Java
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresnouser defined functionsyes info.Net, JavaScript, C/C++nono
Triggersnoyesyesnono
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 RAFTShardingFile partitioning infoCustomizable business rules for partitioningyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTyes infoSynchronous and asynchronous realtime replication based on transaction logsnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Tunable Consistency
Foreign keys infoReferential integrityyesyesyes infowhen using SQLnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyesyes
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.noyesyesno
User concepts infoAccess controlRole-based access controlAccess rights for users, groups and roles according to SQL-standardFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.nono

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More resources
CockroachDBEXASOLFaircom EDGE infoformerly c-treeEDGESpark SQLSTSdb
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