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DBMS > Apache Spark (SQL) vs. Coveo vs. LeanXcale

System Properties Comparison Apache Spark (SQL) vs. Coveo vs. LeanXcale

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Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonCoveo  Xexclude from comparisonLeanXcale  Xexclude from comparison
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelRelational DBMSSearch engineKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score21.62
Rank#29  Overall
#18  Relational DBMS
Score2.30
Rank#104  Overall
#11  Search engines
Score0.25
Rank#296  Overall
#43  Key-value stores
#133  Relational DBMS
Websitespark.apache.org/­sqlwww.coveo.comwww.leanxcale.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.coveo.com
DeveloperApache Software FoundationCoveoLeanXcale
Initial release201420122015
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScala
Server operating systemsLinux
OS X
Windows
hosted
Data schemeyeshybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyes
Typing infopredefined data types such as float or dateyesyes
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
Secondary indexesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infothrough Apache Derby
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesJava
Python
R
Scala
C#
Java
JavaScript
Python
C
Java
Scala
Server-side scripts infoStored proceduresnono
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Coreyes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnogranular access controls, API key management, content filters

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More resources
Apache Spark (SQL)CoveoLeanXcale
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