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DBMS > Apache Drill vs. Apache IoTDB vs. Apache Phoenix vs. GeoSpock vs. HBase

System Properties Comparison Apache Drill vs. Apache IoTDB vs. Apache Phoenix vs. GeoSpock vs. HBase

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonApache IoTDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonGeoSpock  Xexclude from comparisonHBase  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines 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 HBaseSpatial and temporal data processing engine for extreme data scaleWide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelDocument store
Relational DBMS
Time Series DBMSRelational DBMSRelational DBMSWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Websitedrill.apache.orgiotdb.apache.orgphoenix.apache.orggeospock.comhbase.apache.org
Technical documentationdrill.apache.org/­docsiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlphoenix.apache.orghbase.apache.org/­book.html
DeveloperApache Software FoundationApache Software FoundationApache Software FoundationGeoSpockApache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release2012201820142008
Current release1.20.3, January 20231.1.0, April 20235.0-HBase2, July 2018 and 4.15-HBase1, December 20192.0, September 20192.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoApache Version 2.0commercialOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava, JavascriptJava
Server operating systemsLinux
OS X
Windows
All OS with a Java VM (>= 1.8)Linux
Unix
Windows
hostedLinux
Unix
Windows infousing Cygwin
Data schemeschema-freeyesyes infolate-bound, schema-on-read capabilitiesyesschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesyesyesyesoptions to bring your own types, AVRO
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.nonononono
Secondary indexesnoyesyestemporal, categoricalno
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL-like query languageyesANSI SQL for query only (using Presto)no
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
Native API
JDBCJDBCJava API
RESTful HTTP API
Thrift
Supported programming languagesC++C
C#
C++
Go
Java
Python
Scala
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresuser defined functionsyesuser defined functionsnoyes infoCoprocessors in Java
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingAutomatic shardingSharding
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
Multi-source replication
Source-replica replication
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 ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoSingle row ACID (across millions of columns)
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 sourceyesyesnoyes
User concepts infoAccess controlDepending on the underlying data sourceyesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users can be defined per tableAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

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More resources
Apache DrillApache IoTDBApache PhoenixGeoSpockHBase
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