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DBMS > Coveo vs. jBASE vs. Prometheus vs. Spark SQL

System Properties Comparison Coveo vs. jBASE vs. Prometheus vs. Spark SQL

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonjBASE  Xexclude from comparisonPrometheus  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 robust multi-value DBMS comprising development tools and middlewareOpen-source Time Series DBMS and monitoring systemSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelSearch engineMultivalue DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#118  Overall
#11  Search engines
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.coveo.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbaseprometheus.iospark.apache.org/­sql
Technical documentationdocs.coveo.comdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9prometheus.io/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperCoveoRocket Software (formerly Zumasys)Apache Software Foundation
Initial release2012199120152014
Current release5.73.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open 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 languageGoScala
Server operating systemshostedAIX
Linux
Windows
Linux
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-configurationschema-freeyesyes
Typing infopredefined data types such as float or dateyesoptionalNumeric data onlyyes
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.noyesno infoImport of XML data possibleno
Secondary indexesyesnono
SQL infoSupport of SQLnoEmbedded SQL for jBASE in BASICnoSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
RESTful HTTP/JSON APIJDBC
ODBC
Supported programming languagesC#
Java
JavaScript
Python
.Net
Basic
Jabbascript
Java
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyesnono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes infoby Federationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnono
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.yesnono
User concepts infoAccess controlgranular access controls, API key management, content filtersAccess rights can be defined down to the item levelnono

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More resources
CoveojBASEPrometheusSpark SQL
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