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DBMS > Apache Drill vs. Apache Impala vs. HEAVY.AI vs. RDF4J vs. StarRocks

System Properties Comparison Apache Drill vs. Apache Impala vs. HEAVY.AI vs. RDF4J vs. StarRocks

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonApache Impala  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageAnalytic DBMS for HadoopA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.An open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSRDF storeRelational DBMS
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websitedrill.apache.orgimpala.apache.orggithub.com/­heavyai/­heavydb
www.heavy.ai
rdf4j.orgwww.starrocks.io
Technical documentationdrill.apache.org/­docsimpala.apache.org/­impala-docs.htmldocs.heavy.airdf4j.org/­documentationdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by ClouderaHEAVY.AI, Inc.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.The Linux Foundation infosince Feb 2023
Initial release20122013201620042020
Current release1.20.3, January 20234.1.0, June 20225.10, January 20223.3, June 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2Open Source infoApache Version 2; enterprise edition availableOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++ and CUDAJavaC++, Java
Server operating systemsLinux
OS X
Windows
LinuxLinuxLinux
OS X
Unix
Windows
Linux
Data schemeschema-freeyesyesyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesnoyesnoyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL-like DML and DDL statementsyesnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
JDBC
ODBC
Thrift
Vega
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
MySQL protocol
Supported programming languagesC++All languages supporting JDBC/ODBCAll languages supporting JDBC/ODBC/Thrift
Python
Java
PHP
Python
Java
Server-side scripts infoStored proceduresuser defined functionsyes infouser defined functions and integration of map-reducenoyesuser defined functions
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoRound robinnonehorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenoyesno
User concepts infoAccess controlDepending on the underlying data sourceAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardnoRole based access control and fine grained access rights

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More resources
Apache DrillApache ImpalaHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022RDF4J infoformerly known as SesameStarRocks
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