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DBMS > Apache Pinot vs. HarperDB vs. Tkrzw

System Properties Comparison Apache Pinot vs. HarperDB vs. Tkrzw

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonHarperDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyUltra-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.A 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 modelRelational DBMSDocument storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitepinot.apache.orgwww.harperdb.iodbmx.net/­tkrzw
Technical documentationdocs.pinot.apache.orgdocs.harperdb.io/­docs
DeveloperApache Software Foundation and contributorsHarperDBMikio Hirabayashi
Initial release201520172020
Current release1.0.0, September 20233.1, August 20210.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree community edition availableOpen 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 languageJavaNode.jsC++
Server operating systemsAll OS with a Java JDK11 or higherLinux
OS X
Linux
macOS
Data schemeyesdynamic schemaschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesno
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 indexesyes
SQL infoSupport of SQLSQL-like query languageSQL-like data manipulation statementsno
APIs and other access methodsJDBCJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Supported programming languagesGo
Java
Python
.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
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1no
Triggersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningA table resides as a whole on one (or more) nodes in a clusternone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definednone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operations
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing specific database classes
User concepts infoAccess controlAccess rights for users and rolesno

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More resources
Apache PinotHarperDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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