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DBMS > Coveo vs. Realm vs. SAP SQL Anywhere vs. Spark SQL

System Properties Comparison Coveo vs. Realm vs. SAP SQL Anywhere vs. Spark SQL

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonRealm  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelSearch engineDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#118  Overall
#11  Search engines
Score7.41
Rank#52  Overall
#8  Document stores
Score3.95
Rank#80  Overall
#42  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.coveo.comrealm.iowww.sap.com/­products/­technology-platform/­sql-anywhere.htmlspark.apache.org/­sql
Technical documentationdocs.coveo.comrealm.io/­docshelp.sap.com/­docs/­SAP_SQL_Anywherespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperCoveoRealm, acquired by MongoDB in May 2019SAP infoformerly SybaseApache Software Foundation
Initial release2012201419922014
Current release17, July 20153.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScala
Server operating systemshostedAndroid
Backend: server-less
iOS
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyesyes
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.nonoyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLnonoyesSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP APIADO.NET
HTTP API
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC#
Java
JavaScript
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresnono inforuns within the applications so server-side scripts are unnecessaryyes, in C/C++, Java, .Net or Perlno
Triggersyesyes infoChange Listenersyesno
Partitioning methods infoMethods for storing different data on different nodesyesnonenoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-replica replication infoDatabase mirroringnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yes infoIn-Memory realmyesno
User concepts infoAccess controlgranular access controls, API key management, content filtersyesfine grained access rights according to SQL-standardno

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More resources
CoveoRealmSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSpark SQL
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