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DBMS > Apache Pinot vs. BigchainDB vs. DolphinDB vs. Kinetica vs. LMDB

System Properties Comparison Apache Pinot vs. BigchainDB vs. DolphinDB vs. Kinetica vs. LMDB

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonBigchainDB  Xexclude from comparisonDolphinDB  Xexclude from comparisonKinetica  Xexclude from comparisonLMDB  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Fully vectorized database across both GPUs and CPUsA high performant, light-weight, embedded key-value database library
Primary database modelRelational DBMSDocument storeTime Series DBMSRelational DBMSKey-value store
Secondary database modelsRelational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score0.85
Rank#208  Overall
#35  Document stores
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score2.09
Rank#121  Overall
#20  Key-value stores
Websitepinot.apache.orgwww.bigchaindb.comwww.dolphindb.comwww.kinetica.comwww.symas.com/­symas-embedded-database-lmdb
Technical documentationdocs.pinot.apache.orgbigchaindb.readthedocs.io/­en/­latestdocs.dolphindb.cn/­en/­help200/­index.htmldocs.kinetica.comwww.lmdb.tech/­doc
DeveloperApache Software Foundation and contributorsDolphinDB, IncKineticaSymas
Initial release20152016201820122011
Current release1.0.0, September 2023v2.00.4, January 20227.1, August 20210.9.32, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL v3commercial infofree community version availablecommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonC++C, C++C
Server operating systemsAll OS with a Java JDK11 or higherLinuxLinux
Windows
LinuxLinux
Unix
Windows
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesyesyesno
SQL infoSupport of SQLSQL-like query languagenoSQL-like query languageSQL-like DML and DDL statementsno
APIs and other access methodsJDBCCLI Client
RESTful HTTP API
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
Python
Go
Haskell
Java
JavaScript
Python
Ruby
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
Server-side scripts infoStored proceduresyesuser defined functionsno
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardinghorizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlyesAdministrators, Users, GroupsAccess rights for users and roles on table levelno

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More resources
Apache PinotBigchainDBDolphinDBKineticaLMDB
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