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DBMS > Apache Drill vs. Apache IoTDB vs. Apache Phoenix vs. FeatureBase vs. FoundationDB

System Properties Comparison Apache Drill vs. Apache IoTDB vs. Apache Phoenix vs. FeatureBase vs. FoundationDB

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonApache IoTDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonFeatureBase  Xexclude from comparisonFoundationDB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkA scale-out RDBMS with evolutionary schema built on Apache HBaseReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Ordered key-value store. Core features are complimented by layers.
Primary database modelDocument store
Relational DBMS
Time Series DBMSRelational DBMSRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Websitedrill.apache.orgiotdb.apache.orgphoenix.apache.orgwww.featurebase.comgithub.com/­apple/­foundationdb
Technical documentationdrill.apache.org/­docsiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlphoenix.apache.orgdocs.featurebase.comapple.github.io/­foundationdb
DeveloperApache Software FoundationApache Software FoundationApache Software FoundationMolecula and Pilosa Open Source ContributorsFoundationDB
Initial release20122018201420172013
Current release1.20.3, January 20231.1.0, April 20235.0-HBase2, July 2018 and 4.15-HBase1, December 20192022, May 20226.2.28, November 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoApache Version 2.0commercialOpen Source infoApache 2.0
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 languageJavaJavaGoC++
Server operating systemsLinux
OS X
Windows
All OS with a Java VM (>= 1.8)Linux
Unix
Windows
Linux
macOS
Linux
OS X
Windows
Data schemeschema-freeyesyes infolate-bound, schema-on-read capabilitiesyesschema-free infosome layers support schemas
Typing infopredefined data types such as float or dateyesyesyesyesno infosome layers support typing
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 indexesnoyesyesnono
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL-like query languageyesSQL queriessupported in specific SQL layer only
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
Native API
JDBCgRPC
JDBC
Kafka Connector
ODBC
Supported programming languagesC++C
C#
C++
Go
Java
Python
Scala
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Java
Python
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Server-side scripts infoStored proceduresuser defined functionsyesuser defined functionsin SQL-layer only
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication
Source-replica replication
yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesIntegration with Hadoop and SparkHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Strong Consistency with Raft
Immediate Consistency or Eventual ConsistencyLinearizable consistency
Foreign keys infoReferential integritynononoyesin SQL-layer only
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyes, using Linux fsyncyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesyesyes
User concepts infoAccess controlDepending on the underlying data sourceyesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyno

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Apache DrillApache IoTDBApache PhoenixFeatureBaseFoundationDB
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