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DBMS > Apache Drill vs. LeanXcale vs. StarRocks

System Properties Comparison Apache Drill vs. LeanXcale vs. StarRocks

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonLeanXcale  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesAn 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
Key-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#126  Overall
#23  Document stores
#60  Relational DBMS
Score0.28
Rank#286  Overall
#41  Key-value stores
#130  Relational DBMS
Score0.95
Rank#193  Overall
#89  Relational DBMS
Websitedrill.apache.orgwww.leanxcale.comwww.starrocks.io
Technical documentationdrill.apache.org/­docsdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperApache Software FoundationLeanXcaleThe Linux Foundation infosince Feb 2023
Initial release201220152020
Current release1.20.3, January 20233.3, June 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java
Server operating systemsLinux
OS X
Windows
Linux
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesnoyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyes infothrough Apache Derbyyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JDBC
MySQL protocol
Supported programming languagesC++C
Java
Scala
Java
Server-side scripts infoStored proceduresuser defined functionsuser defined functions
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range and hash)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesno
User concepts infoAccess controlDepending on the underlying data sourceRole based access control and fine grained access rights

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More resources
Apache DrillLeanXcaleStarRocks
Recent citations in the news

Apache Drill case study: A tutorial on processing CSV files
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14 July 2022, GlobeNewswire

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