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DBMS > Apache Spark (SQL) vs. DolphinDB vs. Hyprcubd

System Properties Comparison Apache Spark (SQL) vs. DolphinDB vs. Hyprcubd

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Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonDolphinDB  Xexclude from comparisonHyprcubd  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingDolphinDB 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.Serverless Time Series DBMS
Primary database modelRelational DBMSTime Series DBMS
Vector DBMS
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.39
Rank#32  Overall
#20  Relational DBMS
Score2.54
Rank#102  Overall
#8  Time Series DBMS
#6  Vector DBMS
Websitespark.apache.org/­sqlwww.dolphindb.comhyprcubd.com (offline)
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.dolphindb.cn/­en/­help200/­index.html
DeveloperApache Software FoundationDolphinDB, IncHyprcubd, Inc.
Initial release20142018
Current release3.5.0 ( 2.13), September 2023v2.00.4, January 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree community version availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++Go
Server operating systemsLinux
OS X
Windows
Linux
Windows
hosted
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infotime, int, uint, float, string
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.nonono
Secondary indexesnoyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageSQL-like query language
APIs and other access methodsJDBC
ODBC
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
gRPC (https)
Supported programming languagesJava
Python
R
Scala
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Server-side scripts infoStored proceduresnoyesno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Corehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesno
Concurrency infoSupport for concurrent manipulation of datayesyesno
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnoAdministrators, Users, Groupstoken access

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More resources
Apache Spark (SQL)DolphinDBHyprcubd
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