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DBMS > CockroachDB vs. Spark SQL vs. TempoIQ vs. TigerGraph

System Properties Comparison CockroachDB vs. Spark SQL vs. TempoIQ vs. TigerGraph

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Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparisonTigerGraph  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines 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.Spark SQL is a component on top of 'Spark Core' for structured data processingScalable analytics DBMS for sensor data, provided as a service (SaaS)A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSRelational DBMSTime Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitewww.cockroachlabs.comspark.apache.org/­sqltempoiq.com (offline)www.tigergraph.com
Technical documentationwww.cockroachlabs.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.tigergraph.com
DeveloperCockroach LabsApache Software FoundationTempoIQ
Initial release2015201420122017
Current release23.1.1, May 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availableOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoScalaC++
Server operating systemsLinux
macOS
Windows
Linux
OS X
Windows
Linux
Data schemedynamic schemayesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesyesno
SQL infoSupport of SQLyes, wire compatible with PostgreSQLSQL-like DML and DDL statementsnoSQL-like query language (GSQL)
APIs and other access methodsJDBCJDBC
ODBC
HTTP APIGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Java
Python
R
Scala
C#
Java
JavaScript infoNode.js
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresnononoyes
Triggersnonoyes infoRealtime Alertsno
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 RAFTyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nononono
User concepts infoAccess controlRole-based access controlnosimple authentication-based access controlRole-based access control

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More resources
CockroachDBSpark SQLTempoIQ infoformerly TempoDBTigerGraph
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