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DBMS > Apache Drill vs. Drizzle vs. FoundationDB vs. HyperSQL vs. Kinetica

System Properties Comparison Apache Drill vs. Drizzle vs. FoundationDB vs. HyperSQL vs. Kinetica

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonDrizzle  Xexclude from comparisonFoundationDB  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonKinetica  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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 StorageMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Ordered key-value store. Core features are complimented by layers.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBFully vectorized database across both GPUs and CPUs
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time 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
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websitedrill.apache.orggithub.com/­apple/­foundationdbhsqldb.orgwww.kinetica.com
Technical documentationdrill.apache.org/­docsapple.github.io/­foundationdbhsqldb.org/­web/­hsqlDocsFrame.htmldocs.kinetica.com
DeveloperApache Software FoundationDrizzle project, originally started by Brian AkerFoundationDBKinetica
Initial release20122008201320012012
Current release1.20.3, January 20237.2.4, September 20126.2.28, November 20202.7.2, June 20237.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGNU GPLOpen Source infoApache 2.0Open Source infobased on BSD licensecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++JavaC, C++
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
Linux
OS X
Windows
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
Data schemeschema-freeyesschema-free infosome layers support schemasyesyes
Typing infopredefined data types such as float or dateyesyesno infosome layers support typingyesyes
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.nonono
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyes infowith proprietary extensionssupported in specific SQL layer onlyyesSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCHTTP API infoJDBC via HTTP
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC++C
C++
Java
PHP
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
All languages supporting JDBC/ODBC
Java
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsnoin SQL-layer onlyJava, SQLuser defined functions
Triggersnono infohooks for callbacks inside the server can be used.noyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneLinearizable consistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesin SQL-layer onlyyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDno
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 sourceyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlDepending on the underlying data sourcePluggable authentication mechanisms infoe.g. LDAP, HTTPnofine grained access rights according to SQL-standardAccess rights for users and roles on table level

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More resources
Apache DrillDrizzleFoundationDBHyperSQL infoalso known as HSQLDBKinetica
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