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DBMS > DolphinDB vs. Hive vs. Linter vs. Sqrrl vs. Teradata

System Properties Comparison DolphinDB vs. Hive vs. Linter vs. Sqrrl vs. Teradata

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonHive  Xexclude from comparisonLinter  Xexclude from comparisonSqrrl  Xexclude from comparisonTeradata  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
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.data warehouse software for querying and managing large distributed datasets, built on HadoopRDBMS for high security requirementsAdaptable, secure NoSQL built on Apache AccumuloA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelTime Series DBMSRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
Secondary database modelsRelational DBMSSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitewww.dolphindb.comhive.apache.orglinter.rusqrrl.comwww.teradata.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.teradata.com
DeveloperDolphinDB, IncApache Software Foundation infoinitially developed by Facebookrelex.ruAmazon infooriginally Sqrrl Data, Inc.Teradata
Initial release20182012199020121984
Current releasev2.00.4, January 20223.1.3, April 2022Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoApache Version 2commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC and C++Java
Server operating systemsLinux
Windows
All OS with a Java VMAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linuxhosted
Linux
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyes
Secondary indexesyesyesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsyesnoyes infoSQL 2016 + extensions
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JDBC
ODBC
Thrift
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C++
Java
PHP
Python
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceyes infoproprietary syntax with the possibility to convert from PL/SQLnoyes infoUDFs, stored procedures, table functions in parallel
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnoneSharding infomaking use of HadoopSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorSource-replica replicationselectable replication factor infomaking use of HadoopMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReducenoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDAtomic updates per row, document, or graph entityACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAdministrators, Users, GroupsAccess rights for users, groups and rolesfine grained access rights according to SQL-standardCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)fine grained access rights according to SQL-standard

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DolphinDBHiveLinterSqrrlTeradata
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