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DBMS > Apache Drill vs. FoundationDB vs. Hypertable vs. Kinetica

System Properties Comparison Apache Drill vs. FoundationDB vs. Hypertable vs. Kinetica

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonFoundationDB  Xexclude from comparisonHypertable  Xexclude from comparisonKinetica  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageOrdered key-value store. Core features are complimented by layers.An open source BigTable implementation based on distributed file systems such as HadoopFully vectorized database across both GPUs and CPUs
Primary database modelDocument store
Relational DBMS
Document store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Wide column storeRelational 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
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websitedrill.apache.orggithub.com/­apple/­foundationdbwww.kinetica.com
Technical documentationdrill.apache.org/­docsapple.github.io/­foundationdbdocs.kinetica.com
DeveloperApache Software FoundationFoundationDBHypertable Inc.Kinetica
Initial release2012201320092012
Current release1.20.3, January 20236.2.28, November 20200.9.8.11, March 20167.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C, C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
Data schemeschema-freeschema-free infosome layers support schemasschema-freeyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingnoyes
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 indexesnonorestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantsupported in specific SQL layer onlynoSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
C++ API
Thrift
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC++.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C++
Java
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsin SQL-layer onlynouser defined functions
Triggersnononoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor on file system levelSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneLinearizable consistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoin SQL-layer onlynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyes infoGPU vRAM or System RAM
User concepts infoAccess controlDepending on the underlying data sourcenonoAccess rights for users and roles on table level

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More resources
Apache DrillFoundationDBHypertableKinetica
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