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DBMS > Apache Phoenix vs. BoltDB vs. GreptimeDB

System Properties Comparison Apache Phoenix vs. BoltDB vs. GreptimeDB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBoltDB  Xexclude from comparisonGreptimeDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseAn embedded key-value store for Go.An open source Time Series DBMS built for increased scalability, high performance and efficiency
Primary database modelRelational DBMSKey-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.80
Rank#215  Overall
#31  Key-value stores
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Websitephoenix.apache.orggithub.com/­boltdb/­boltgreptime.com
Technical documentationphoenix.apache.orgdocs.greptime.com
DeveloperApache Software FoundationGreptime Inc.
Initial release201420132022
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT LicenseOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoRust
Server operating systemsLinux
Unix
Windows
BSD
Linux
OS X
Solaris
Windows
Android
Docker
FreeBSD
Linux
macOS
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesnoyes
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.nonono
Secondary indexesyesnoyes
SQL infoSupport of SQLyesnoyes
APIs and other access methodsJDBCgRPC
HTTP API
JDBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
GoC++
Erlang
Go
Java
JavaScript
Server-side scripts infoStored proceduresuser defined functionsnoPython
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynoSimple rights management via user accounts
More information provided by the system vendor
Apache PhoenixBoltDBGreptimeDB
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 PhoenixBoltDBGreptimeDB
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Recent citations in the news

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2 June 2016, AWS Blog

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27 March 2017, SDTimes.com

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