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DBMS > Apache Phoenix vs. Elasticsearch vs. GreptimeDB vs. Yanza

System Properties Comparison Apache Phoenix vs. Elasticsearch vs. GreptimeDB vs. Yanza

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonElasticsearch  Xexclude from comparisonGreptimeDB  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA 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 metricAn open source Time Series DBMS built for increased scalability, high performance and efficiencyTime Series DBMS for IoT Applications
Primary database modelRelational DBMSSearch engineTime Series DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score135.35
Rank#7  Overall
#1  Search engines
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Websitephoenix.apache.orgwww.elastic.co/­elasticsearchgreptime.comyanza.com
Technical documentationphoenix.apache.orgwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.greptime.com
DeveloperApache Software FoundationElasticGreptime Inc.Yanza
Initial release2014201020222015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20198.6, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoElastic LicenseOpen Source infoApache Version 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaRust
Server operating systemsLinux
Unix
Windows
All OS with a Java VMAndroid
Docker
FreeBSD
Linux
macOS
Windows
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesyes infoAll search fields are automatically indexedyesno
SQL infoSupport of SQLyesSQL-like query languageyesno
APIs and other access methodsJDBCJava API
RESTful HTTP/JSON API
gRPC
HTTP API
JDBC
HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C++
Erlang
Go
Java
JavaScript
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functionsyesPythonno
Triggersnoyes infoby using the 'percolation' featureyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationES-Hadoop Connectornono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
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 integration
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancySimple rights management via user accountsno
More information provided by the system vendor
Apache PhoenixElasticsearchGreptimeDBYanza
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Apache PhoenixElasticsearchGreptimeDBYanza
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Recent citations in the news

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2 June 2016, AWS Blog

Azure #HDInsight Apache Phoenix now supports Zeppelin
16 August 2018, Microsoft

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