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DBMS > Apache Phoenix vs. InfluxDB vs. TerarkDB vs. YugabyteDB

System Properties Comparison Apache Phoenix vs. InfluxDB vs. TerarkDB vs. YugabyteDB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonInfluxDB  Xexclude from comparisonTerarkDB  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseDBMS for storing time series, events and metricsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBHigh-performance distributed SQL database for global, internet-scale applications. Wire compatible with PostgreSQL.
Primary database modelRelational DBMSTime Series DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.31
Rank#92  Overall
#46  Relational DBMS
Score23.34
Rank#29  Overall
#1  Time Series DBMS
Score0.09
Rank#310  Overall
#53  Key-value stores
Score1.14
Rank#158  Overall
#77  Relational DBMS
Websitephoenix.apache.orgwww.influxdata.com/­products/­influxdb-overviewgithub.com/­Terark/­terarkdbwww.yugabyte.com
Technical documentationphoenix.apache.orgdocs.influxdata.com/­influxdbgithub.com/­Terark/­terarkdb/­wikidocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperApache Software FoundationTerarkYugabyte Inc.
Initial release2014201320162017
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.8.0, April 20202.2.0, July 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT-License; commercial enterprise version availablecommercial inforestricted open source version availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++C and C++
Server operating systemsLinux
Unix
Windows
Linux
OS X infothrough Homebrew
Linux
OS X
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freedepending on used data model
Typing infopredefined data types such as float or dateyesNumeric data and Stringsnoyes
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 indexesyesnonoyes
SQL infoSupport of SQLyesSQL-like query languagenoyes, PostgreSQL compatible
APIs and other access methodsJDBCHTTP API
JSON over UDP
C++ API
Java API
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
C
C#
C++
Go
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsnonoyes infosql, plpgsql, C
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlynoneHash and Range Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infoin enterprise version onlynoneBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoDepending on used storage engineyesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancysimple rights management via user accountsnoyes
More information provided by the system vendor
Apache PhoenixInfluxDBTerarkDBYugabyteDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Gain Developer Agility Leverage full power of PostgreSQL-compatible SQL and distributed...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
YugabyteDB is a distributed ACID-compliant database that brings together four must-have...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
YugabyteDB is a good fit for fast-growing, cloud native applications that need to...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
YugabyteDB is a 100% open source project licensed under the permissive Apache 2.0...
» more

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More resources
Apache PhoenixInfluxDBTerarkDBYugabyteDB
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