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DBMS > DolphinDB vs. LevelDB vs. Pinecone vs. Sequoiadb

System Properties Comparison DolphinDB vs. LevelDB vs. Pinecone vs. Sequoiadb

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonLevelDB  Xexclude from comparisonPinecone  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionDolphinDB 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.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA managed, cloud-native vector databaseNewSQL database with distributed OLTP and SQL
Primary database modelTime Series DBMSKey-value storeVector DBMSDocument store
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score3.23
Rank#92  Overall
#3  Vector DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Websitewww.dolphindb.comgithub.com/­google/­leveldbwww.pinecone.iowww.sequoiadb.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.pinecone.io/­docs/­overviewwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperDolphinDB, IncGooglePinecone Systems, IncSequoiadb Ltd.
Initial release2018201120192013
Current releasev2.00.4, January 20221.23, February 2021
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoBSDcommercialOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++
Server operating systemsLinux
Windows
Illumos
Linux
OS X
Windows
hostedLinux
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoString, Number, Booleanyes infooid, date, timestamp, binary, regex
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 indexesyesnoyes
SQL infoSupport of SQLSQL-like query languagenonoSQL-like query language
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
RESTful HTTP APIproprietary protocol using JSON
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Python.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresyesnoJavaScript
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAdministrators, Users, Groupsnosimple password-based access control

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DolphinDBLevelDBPineconeSequoiadb
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