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DBMS > Coveo vs. IBM Cloudant vs. Spark SQL vs. SurrealDB

System Properties Comparison Coveo vs. IBM Cloudant vs. Spark SQL vs. SurrealDB

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonSpark SQL  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentDatabase as a Service offering based on Apache CouchDBSpark SQL is a component on top of 'Spark Core' for structured data processingA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelSearch engineDocument storeRelational DBMSDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#118  Overall
#11  Search engines
Score2.75
Rank#104  Overall
#19  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websitewww.coveo.comwww.ibm.com/­products/­cloudantspark.apache.org/­sqlsurrealdb.com
Technical documentationdocs.coveo.comcloud.ibm.com/­docs/­Cloudantspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsurrealdb.com/­docs
DeveloperCoveoIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Apache Software FoundationSurrealDB Ltd
Initial release2012201020142022
Current release3.5.0 ( 2.13), September 2023v1.5.0, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangScalaRust
Server operating systemshostedhostedLinux
OS X
Windows
Linux
macOS
Windows
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonono
Secondary indexesyesyesno
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsRESTful HTTP APIRESTful HTTP/JSON APIJDBC
ODBC
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC#
Java
JavaScript
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
Java
Python
R
Scala
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresnoView functions (Map-Reduce) in JavaScriptno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesyesShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno infoatomic operations within a document possiblenoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyes
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.nono
User concepts infoAccess controlgranular access controls, API key management, content filtersAccess rights for users can be defined per databasenoyes, based on authentication and database rules

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CoveoIBM CloudantSpark SQLSurrealDB
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