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DBMS > Apache Drill vs. HarperDB vs. Quasardb vs. Tkrzw

System Properties Comparison Apache Drill vs. HarperDB vs. Quasardb vs. Tkrzw

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonHarperDB  Xexclude from comparisonQuasardb  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Distributed, high-performance timeseries databaseA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelDocument store
Relational DBMS
Document storeTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#119  Overall
#23  Document stores
#56  Relational DBMS
Score0.55
Rank#252  Overall
#38  Document stores
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Score0.09
Rank#354  Overall
#51  Key-value stores
Websitedrill.apache.orgwww.harperdb.ioquasar.aidbmx.net/­tkrzw
Technical documentationdrill.apache.org/­docsdocs.harperdb.io/­docsdoc.quasar.ai/­master
DeveloperApache Software FoundationHarperDBquasardbMikio Hirabayashi
Initial release2012201720092020
Current release1.20.3, January 20233.1, August 20213.14.1, January 20240.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree community edition availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.jsC++C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
BSD
Linux
OS X
Windows
Linux
macOS
Data schemeschema-freedynamic schemaschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyes infointeger and binaryno
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 indexesnoyesyes infowith tags
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL-like data manipulation statementsSQL-like query languageno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HTTP API
Supported programming languagesC++.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsCustom Functions infosince release 3.1nono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyes, using LMDByes infoby using LevelDByes
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 infoTransient modeyes infousing specific database classes
User concepts infoAccess controlDepending on the underlying data sourceAccess rights for users and rolesCryptographically strong user authentication and audit trailno

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More resources
Apache DrillHarperDBQuasardbTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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