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DBMS > Apache Spark (SQL) vs. DuckDB vs. Transwarp Hippo

System Properties Comparison Apache Spark (SQL) vs. DuckDB vs. Transwarp Hippo

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Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonDuckDB  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingAn embeddable, in-process, column-oriented SQL OLAP RDBMSCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelRelational DBMSRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.73
Rank#35  Overall
#20  Relational DBMS
Score5.98
Rank#57  Overall
#34  Relational DBMS
Score0.00
Rank#388  Overall
#18  Vector DBMS
Websitespark.apache.org/­sqlduckdb.orgwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlduckdb.org/­docs
DeveloperApache Software Foundation
Initial release201420182023
Current release3.5.0 ( 2.13), September 20231.0.0, June 20241.0, May 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMIT Licensecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++C++
Server operating systemsLinux
OS X
Windows
server-lessLinux
macOS
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyesVector, Numeric and 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 statementsyesno
APIs and other access methodsJDBC
ODBC
Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJava
Python
R
Scala
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
C++
Java
Python
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CorenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone
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 integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
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.noyesyes
User concepts infoAccess controlnonoRole based access control and fine grained access rights

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More resources
Apache Spark (SQL)DuckDBTranswarp Hippo
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