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DBMS > Apache Kylin vs. Apache Pinot vs. Coveo vs. Faircom DB vs. GeoMesa

System Properties Comparison Apache Kylin vs. Apache Pinot vs. Coveo vs. Faircom DB vs. GeoMesa

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonApache Pinot  Xexclude from comparisonCoveo  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonGeoMesa  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.
Primary database modelRelational DBMSRelational DBMSSearch engineKey-value store
Relational DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score2.11
Rank#118  Overall
#11  Search engines
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Websitekylin.apache.orgpinot.apache.orgwww.coveo.comwww.faircom.com/­products/­faircom-dbwww.geomesa.org
Technical documentationkylin.apache.org/­docsdocs.pinot.apache.orgdocs.coveo.comdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlwww.geomesa.org/­documentation/­stable/­user/­index.html
DeveloperApache Software Foundation, originally contributed from eBay IncApache Software Foundation and contributorsCoveoFairCom CorporationCCRi and others
Initial release20152015201219792014
Current release3.1.0, July 20201.0.0, September 2023V12, November 20205.0.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercialcommercial infoRestricted, free version availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaANSI C, C++Scala
Server operating systemsLinuxAll OS with a Java JDK11 or higherhostedAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Data schemeyesyeshybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema free, schema optional, schema required, partial schema,yes
Typing infopredefined data types such as float or dateyesyesyesyes, ANSI SQL Types, JSON, typed binary structuresyes
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.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)SQL-like query languagenoyes, ANSI SQL with proprietary extensionsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCRESTful HTTP APIADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
Supported programming languagesGo
Java
Python
C#
Java
JavaScript
Python
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++no
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningdepending on storage layer
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).depending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
depending on storage layer
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayestunable from ACID to Eventually Consistentno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesYes, tunable from durable to delayed durability to in-memoryyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesdepending on storage layer
User concepts infoAccess controlgranular access controls, API key management, content filtersFine grained access rights according to SQL-standard with additional protections for filesyes infodepending on the DBMS used for storage

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More resources
Apache KylinApache PinotCoveoFaircom DB infoformerly c-treeACEGeoMesa
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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