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

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

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonApache IoTDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonFoundationDB  Xexclude from comparisonHazelcast  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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 HBaseOrdered key-value store. Core features are complimented by layers.A widely adopted in-memory data grid
Primary database modelDocument store
Relational DBMS
Time Series DBMSRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Key-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
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
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Websitedrill.apache.orgiotdb.apache.orgphoenix.apache.orggithub.com/­apple/­foundationdbhazelcast.com
Technical documentationdrill.apache.org/­docsiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlphoenix.apache.orgapple.github.io/­foundationdbhazelcast.org/­imdg/­docs
DeveloperApache Software FoundationApache Software FoundationApache Software FoundationFoundationDBHazelcast
Initial release20122018201420132008
Current release1.20.3, January 20231.1.0, April 20235.0-HBase2, July 2018 and 4.15-HBase1, December 20196.2.28, November 20205.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++Java
Server operating systemsLinux
OS X
Windows
All OS with a Java VM (>= 1.8)Linux
Unix
Windows
Linux
OS X
Windows
All OS with a Java VM
Data schemeschema-freeyesyes infolate-bound, schema-on-read capabilitiesschema-free infosome layers support schemasschema-free
Typing infopredefined data types such as float or dateyesyesyesno infosome layers support typingyes
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.nononoyes infothe object must implement a serialization strategy
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL-like query languageyessupported in specific SQL layer onlySQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
Native API
JDBCJCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesC++C
C#
C++
Go
Java
Python
Scala
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresuser defined functionsyesuser defined functionsin SQL-layer onlyyes infoEvent Listeners, Executor Services
Triggersnoyesnonoyes infoEvents
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 infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesIntegration with Hadoop and SparkHadoop integrationnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Strong Consistency with Raft
Immediate Consistency or Eventual ConsistencyLinearizable consistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integritynononoin SQL-layer onlyno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyesyes
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-tenancynoRole-based access control

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Apache DrillApache IoTDBApache PhoenixFoundationDBHazelcast
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