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DBMS > CockroachDB vs. Coveo vs. OceanBase vs. Spark SQL vs. TempoIQ

System Properties Comparison CockroachDB vs. Coveo vs. OceanBase vs. Spark SQL vs. TempoIQ

Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonCoveo  Xexclude from comparisonOceanBase  Xexclude from comparisonSpark SQL  Xexclude from comparisonTempoIQ infoformerly TempoDB  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.AI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentA distributed, high available RDBMS compatible with Oracle and MySQLSpark SQL is a component on top of 'Spark Core' for structured data processingScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelRelational DBMSSearch engineRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score2.11
Rank#118  Overall
#11  Search engines
Score1.57
Rank#149  Overall
#69  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.cockroachlabs.comwww.coveo.comen.oceanbase.comspark.apache.org/­sqltempoiq.com (offline)
Technical documentationwww.cockroachlabs.com/­docsdocs.coveo.comen.oceanbase.com/­docs/­oceanbase-databasespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperCockroach LabsCoveoOceanBase infopreviously Alibaba and Ant GroupApache Software FoundationTempoIQ
Initial release20152012201020142012
Current release24.1.0, May 20244.3.0, April 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availablecommercialOpen Source infoCommercial license availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++Scala
Server operating systemsLinux
macOS
Windows
hostedLinuxLinux
OS X
Windows
Data schemedynamic schemahybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyesschema-free
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.nonoyesnono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes, wire compatible with PostgreSQLnoyesSQL-like DML and DDL statementsno
APIs and other access methodsJDBCRESTful HTTP APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
JDBC
ODBC
HTTP API
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C#
Java
JavaScript
Python
Ada infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
Java
Python
R
Scala
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresnonoPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible modenono
Triggersnoyesyesnoyes infoRealtime Alerts
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 RAFTyeshorizontal partitioning (by hash, key, range, range columns, list, and list columns)yes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTyesMulti-source replication using Paxosnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nonono
User concepts infoAccess controlRole-based access controlgranular access controls, API key management, content filtersAccess rights for users, groups and roles according to SQL-standardnosimple authentication-based access control

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More resources
CockroachDBCoveoOceanBaseSpark SQLTempoIQ infoformerly TempoDB
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