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DBMS > Apache Phoenix vs. InfluxDB vs. Splice Machine vs. TerarkDB vs. Transbase

System Properties Comparison Apache Phoenix vs. InfluxDB vs. Splice Machine vs. TerarkDB vs. Transbase

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonInfluxDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonTerarkDB  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseDBMS for storing time series, events and metricsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSTime Series DBMSRelational DBMSKey-value storeRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitephoenix.apache.orgwww.influxdata.com/­products/­influxdb-overviewsplicemachine.comgithub.com/­bytedance/­terarkdbwww.transaction.de/­en/­products/­transbase.html
Technical documentationphoenix.apache.orgdocs.influxdata.com/­influxdbsplicemachine.com/­how-it-worksbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperApache Software FoundationSplice MachineByteDance, originally TerarkTransaction Software GmbH
Initial release20142013201420161987
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.7.6, April 20243.1, March 2021Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT-License; commercial enterprise version availableOpen Source infoAGPL 3.0, commercial license availablecommercial inforestricted open source version availablecommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoJavaC++C and C++
Server operating systemsLinux
Unix
Windows
Linux
OS X infothrough Homebrew
Linux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyesnoyes
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 indexesyesnoyesnoyes
SQL infoSupport of SQLyesSQL-like query languageyesnoyes
APIs and other access methodsJDBCHTTP API
JSON over UDP
JDBC
Native Spark Datasource
ODBC
C++ API
Java API
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Java
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsnoyes infoJavanoyes
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlyShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infoin enterprise version onlyMulti-source replication
Source-replica replication
noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoDepending on used storage engineyesyesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancysimple rights management via user accountsAccess rights for users, groups and roles according to SQL-standardnofine grained access rights according to SQL-standard
More information provided by the system vendor
Apache PhoenixInfluxDBSplice MachineTerarkDBTransbase
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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