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DBMS > Apache Phoenix vs. Coveo vs. Elasticsearch vs. Sadas Engine

System Properties Comparison Apache Phoenix vs. Coveo vs. Elasticsearch vs. Sadas Engine

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonCoveo  Xexclude from comparisonElasticsearch  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMSSearch engineSearch engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score2.11
Rank#118  Overall
#11  Search engines
Score132.83
Rank#7  Overall
#1  Search engines
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websitephoenix.apache.orgwww.coveo.comwww.elastic.co/­elasticsearchwww.sadasengine.com
Technical documentationphoenix.apache.orgdocs.coveo.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperApache Software FoundationCoveoElasticSADAS s.r.l.
Initial release2014201220102006
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20198.6, January 20238.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoElastic Licensecommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsLinux
Unix
Windows
hostedAll OS with a Java VMAIX
Linux
Windows
Data schemeyes infolate-bound, schema-on-read capabilitieshybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes
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.nononono
Secondary indexesyesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLyesnoSQL-like query languageyes
APIs and other access methodsJDBCRESTful HTTP APIJava API
RESTful HTTP/JSON API
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C#
Java
JavaScript
Python
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsnoyesno
Triggersnoyesyes infoby using the 'percolation' featureno
Partitioning methods infoMethods for storing different data on different nodesShardingyesShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoES-Hadoop Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesno
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.yesMemcached and Redis integrationyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancygranular access controls, API key management, content filtersAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache PhoenixCoveoElasticsearchSadas Engine
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